XT (XiaoTian) Wang | Psychology | Best Researcher Award

Posted on 24/01/202524/01/2025 by sciencefather

Prof. XT (XiaoTian) Wang | Psychology | Best Researcher Award

Professor at the Chinese University of Hong Kong (Shenzhen), China

Professor XT Wang is a distinguished academic leader, serving as the founding director of the Applied Psychology program at the Chinese University of Hong Kong (Shenzhen). His research bridges several fields, including behavioral decision-making, risk perception, and evolutionary psychology. Known for his work on reference point-dependent decision models and evolutionary rationality, Professor Wang has contributed extensively to academic literature, with more than 30 publications in peer-reviewed journals. His pioneering theory on trireference points in decision-making has garnered significant attention. Professor Wang has also worked internationally, with affiliations at prestigious institutions like Peking University and the Max Planck Institute, and has held leadership roles in various professional organizations.

Publication Profile

Scopus

Educational Background 🎓

Ph.D., Cognitive Psychology, New Mexico State University, USA (July 1993)
M.A., Physiological Psychology, New Mexico State University, USA (January 1990)
M.S., Pathology and Physiology, Medical School, Jinan University, China (January 1985)
B.S., Experimental Medicine, Beijing University of Medical Sciences, China (January 1982)

Professional Experience 💼

Professor & Inaugural Director (2018–Present), Applied Psychology Program, Chinese University of Hong Kong (Shenzhen)
Emeritus Professor (2003–2018), University of South Dakota, USA
Adjunct/Visiting Professor at various institutions, including China Europe International Business School (2010–2016), Peking University (2004–2014), and Max Planck Institute, Germany (1998–1999, 2004)
Lecturer & Research Co-Director (1985–1987), Jinan University, China

Research Interests 🔬

Professor Wang’s research focuses on:

Behavioral decision-making across social, economic, organizational, and cultural contexts
Risk perception, management, and evolutionary psychology
Reference point-dependent decision models, framing effects, and cue usage in risky choices
Intertemporal choice, delay discounting, and social discounting
Cognitive and embodied mechanisms of decision-making
AI vs. human rationalities

He employs a wide range of methodologies, including experiments, surveys, meta-analysis, neuroimaging, and field studies.

Awards and Honors🏆✨

Presidential Exemplary Teaching Award (CUHKSZ, 2022)
Acta Psychologica Best Editor Award (2019)
Sonica Chinese Academy of Sciences K.C. Wong Research Award (2010)
Marquis Who’s Who in America (various editions, including 2003-2008, 2014-2017)
High-level Foreign Expert endorsement by the People’s Government of Shenzhen Municipality
Shenzhen “Peng-Cheng Peacock Plan” A-Class Distinguished Expert (2021-2024)

Conclusion🌟

Professor XT Wang is a leading figure in applied psychology, contributing significantly to the understanding of decision-making processes, risk management, and evolutionary psychology. With a strong academic background and leadership in both teaching and research, he has helped shape the psychology programs at CUHK (Shenzhen) while continuing to influence global academic discourse through his extensive research and collaborations.

Publications 📚

📚 Article
Title: How mortality awareness regulates intertemporal choice: A joint effect of endpoint reminder and retrospective episodic thinking
Authors: Wang, P., Wang, X.X.
Journal: Consciousness and Cognition (2024), 126, 103787
Citations: 0
Access: Open Access
🧠 Article
Title: Biracial Faces Offer Visual Cues of Successful Intergroup Contact: Genetic Admixture and Coalition Detection
Authors: Wang, X.T., Miller, G.
Journal: Evolutionary Psychology (2024), 22(1)
Citations: 0
Access: Open Access
🎶 Article
Title: Imprinting-like effects of early adolescent music
Authors: Fu, J., Tan, L.K.L., Li, N.P., Wang, X.T.
Journal: Psychology of Music (2024), 52(1), pp. 38–58
Citations: 1
Access: Open Access
⏳ Article
Title: Age Effects on Delay Discounting Across the Lifespan: A Meta-Analytical Approach to Theory Comparison and Model Development
Authors: Lu, J., Yao, J., Zhou, Z., Wang, X.T.
Journal: Psychological Bulletin (2023), 149(7-8), pp. 447–486
Citations: 8
😷 Article
Title: Episodic future thinking and anticipatory emotions: Effects on delay discounting and preventive behaviors during COVID-19
Authors: Wang, X.T., Wang, P., Lu, J., Li, G., Garelik, S.
Journal: Applied Psychology: Health and Well-Being (2022), 14(3), pp. 842–861
Citations: 14
Access: Open Access

Yu-Te Tu | Sustainable Management | Best Researcher Award

Posted on 24/01/202524/01/2025 by sciencefather

Dr. Yu-Te Tu | Sustainable Management | Best Researcher Award

Associate professor at Chihlee University of Technology, Taiwan

Yu-Te Tu is an accomplished Associate Professor in the Department of Business Administration at Chihlee University of Technology, Taiwan, and also directs the International Cooperation Center. He holds a Ph.D. in Corporate & Organization Management from Lynn University, USA. Yu-Te Tu has a significant academic background with extensive leadership experience, including roles as Dean and Executive Secretary. He has authored numerous SSCI-indexed articles, contributing extensively to research on sustainable management, green innovation, and environmental sustainability. Tu has received various awards, including the Best Researcher Award and the Best Paper Award.

Publication Profile

Scopus

Educational Background 🎓

Ph.D. in Corporate & Organization Management – Lynn University, USA
M.A./M.S. in [Field] – [University Name]
B.A./B.S. in [Field] – [University Name]

Professional Experience 💼

Associate Professor – Chihlee University of Technology (Current Position)
- Lead academic and research initiatives in business administration.
- Direct the International Cooperation Center, fostering global partnerships.
Dean – [Institution Name] (Previous Position)
- Led the department and managed academic and administrative duties.
Executive Secretary – [Institution Name] (Previous Position)
- Played a key role in academic administration and strategy implementation.

Research Interests 🔬

Sustainable development and environmental sustainability
Green energy, renewable energy, and natural resource management
Environmental, Social, and Governance (ESG) practices integration
Green innovation and its impact on entrepreneurial success
Fintech’s role in sustainable business practices
Work-family conflict and job stress in professional environments
Sustainability in tourism, rural development, and sharing economy

Awards and Honors🏆✨

Best Researcher Award
Best Paper Award
Multiple accolades for contributions to sustainable management and green innovation

Conclusion🌟

Yu-Te Tu’s research has provided profound insights into how businesses and economies can foster sustainable practices, particularly in relation to green innovation, renewable energy, and natural resource management. His interdisciplinary work, including examining the impact of work-family conflict on job stress, offers valuable contributions to both academic theory and practical applications. Tu’s extensive leadership in academic institutions and international collaborations has further cemented his role as a thought leader in the fields of sustainable development and corporate management. His efforts continue to influence and guide global development towards sustainability goals.

Publications 📚

Erratum 🚨
- Title: Impact of corporate sustainable practices, government initiative, technology usage, and organizational culture on automobile industry sustainable performance
- Authors: Moslehpour, M., Chau, K.Y., Tu, Y.-T., Barry, M., Reddy, K.D.
- Journal: Environmental Science and Pollution Research
- Year: 2024
- Volume: 31(51), pp. 61324
- DOI: 10.1007/s11356-022-21591-2
Article 📄
- Title: The role of green social behavior in frugal innovation and entrepreneurial success: The moderating impact of knowledge management
- Author: Tu, Y.-T.
- Journal: Journal of Innovation and Knowledge
- Year: 2024
- Volume: 9(4), Article 100566
Erratum 🚨
- Title: Retraction Note: Role of energy consumption and sustainability-oriented eco-innovation on economic growth: evidence from Middle Eastern economy
- Authors: Tu, Y.-T., Lin, C.-Y., Ehsanullah, S., Duong, K.D., Huy, P.Q.
- Journal: Environmental Science and Pollution Research
- Year: 2024
- Volume: 31(33), pp. 46107
Article 📄
- Title: Drivers of Environmental Performance in Asian economies: Do natural resources, green innovation, and Fintech really matter?
- Author: Tu, Y.-T.
- Journal: Resources Policy
- Year: 2024
- Volume: 90, Article 104832
Article 📄
- Title: Impact of natural resources extraction and energy consumption on the environmental sustainability in ASEAN countries
- Authors: Nguyen, T.T.H., Tu, Y.-T., Diep, G.L., Tien, N.H., Chien, F.
- Journal: Resources Policy
- Year: 2023
- Volume: 85, Article 103713
Article 📄
- Title: Nexus between natural resource depletion and rent and COP26 commitments: Empirical evidence from Vietnam
- Authors: Tran, T.K., Lin, C.-Y., Tu, Y.-T., Pham Thi, T.D., Shoh-Jakhon, K.
- Journal: Resources Policy
- Year: 2023
- Volume: 85, Article 104024
Article 📄
- Title: The role of economic conditions and sustainable rural development on the sustainability of tourism development: evidence from China
- Authors: Xue, C., Tu, Y.-T., Ananzeh, M., Trung, L.M., Ngo, T.Q.
- Journal: Environmental Science and Pollution Research
- Year: 2023
- Volume: 30(11), pp. 30588–30602
Article 📄
- Title: Achieving sustainable development goals through a sharing economy: Empirical evidence from developing economies
- Authors: Tu, Y.-T., Aljumah, A.I., Van Nguyen, S., Tai, T.D., Qiu, R.
- Journal: Journal of Innovation and Knowledge
- Year: 2023
- Volume: 8(1), Article 100299
Retracted Article 🚨
- Title: Role of energy consumption and sustainability-oriented eco-innovation on economic growth: evidence from Middle Eastern economy
- Authors: Tu, Y.-T., Lin, C.-Y., Ehsanullah, S., Duong, K.D., Huy, P.Q.
- Journal: Environmental Science and Pollution Research
- Year: 2023
- Volume: 30(2), pp. 3197–3212
Article 📄
- Title: Investment on environmental social and governance activities and its impact on achieving sustainable development goals: evidence from Chinese manufacturing firms
- Authors: Ye, J., Moslehpour, M., Tu, Y.-T., Ngo, T.Q., Nguyen, S.V.
- Journal: Economic Research-Ekonomska Istrazivanja
- Year: 2023
- Volume: 36(1), pp. 333–356

Xinzhou Qi | ESG | Best Researcher Award

Posted on 24/01/202524/01/2025 by sciencefather

Dr. Xinzhou Qi | ESG | Best Researcher Award

Postdoctoral fellow at Guotaijunan, China

Xinzhou Qi is a Ph.D. Candidate in Business Management at Fudan University, Shanghai, China, with a focus on sustainable business practices, innovation, and enterprise transformation. He is actively involved in research related to ESG (Environmental, Social, and Governance), carbon emissions, and the sustainable development goals (SDGs). Xinzhou’s academic background and professional experiences reflect a deep commitment to addressing the complex challenges of sustainable development, particularly in business contexts.

Publication Profile

Scopus

Educational Background 🎓

2020 – Present: Ph.D. in Business Management (Expected 2024), Fudan University, Shanghai, China
- Supervisor: Professor Zhong Ning
2023: Joint Doctoral Research Scholar, University of British Columbia, Vancouver, Canada
- Supervisor: Professor Eric Li
2018 – 2020: Master of Finance, Qingdao University, Qingdao, China
- Supervisor: Professor Chiwei Su
2013 – 2017: Bachelor of Science in Information and Computing Sciences, Qingdao University of Technology, Qingdao, China
- GPA: 4.9/5.0

Professional Experience 💼

2022 – Present: Research Assistant, China National Key R&D Plan “Culture, Technology and Modern Service Industry” (No. 2022YFF0903400)
2020 – 2021: Research Assistant, Shanghai Soft Science Research Program “Science and Technology Innovation Action Plan” (No. WBH1019063)
2020 – 2021: Research Assistant, Business Plan and Growth Strategy of Angkor Airlines in Cambodia (No. WAH1019116)
2018 – 2019: Research Assistant, Shanghai Soft Science Research Program “Science and Technology Innovation Action Plan” (No. WBH1019033)

Research Interests 🔬

ESG (Environmental, Social, and Governance) strategies
Carbon emissions reduction
Innovation and entrepreneurship
Enterprise transformation
Sustainable development goals (SDGs)

Awards and Honors🏆✨

2021-2022: University Scholarship, Fudan University
2021-2022: Outstanding Student Award, Fudan University
2020-2021: Excellent Teaching Assistant Award, Fudan University
2017: Outstanding Student Award, Shandong, China
2014-2015: Second Place in China Undergraduate Mathematical Contest in Modeling, Shandong, China

Teaching Assistant Experience

2021-2022:
- Crisis Management (Executive MBA, University of Lethbridge)
- Strategic Management (MBA, Fudan University)
- Agile Marketing and Growth Strategies (MBA, Fudan University)
- Brand Building & Integrated Marketing (MBA, Ogivy & NCCU)
2020-2021:
- Sinology and Leadership (MBA, National Chengchi University)
- Business Model (MBA, Fudan University)

Conclusion🌟

Xinzhou Qi’s academic and professional work bridges the fields of business management, sustainability, and innovation. His research emphasizes the importance of responsible business practices in light of global challenges like climate change, ESG performance, and economic policy uncertainty. With experience as a research assistant and teaching assistant, along with his scholarly contributions, Xinzhou is poised to continue making significant contributions to the academic community and the field of sustainable business management.

Publications 📚

📄 Navigating the tides of uncertainty: exploring the complex relationship between global economic policy and crude oil transportation
Qi, X., Zhang, W., Sun, L., Hu, Z., Ning, Z.
Maritime Economics and Logistics, 2024, 26(4), pp. 612–629
🔗 [Link Disabled]

📄 Bridging the valley of death: examining university science parks’ influence on revenue generation
Qi, X.-Z., Li, E.P.H., Wei, Z., Ning, Z.
International Journal of Entrepreneurial Behaviour and Research, 2024, 30(5), pp. 1093–1121
🔗 [Link Disabled]

📄 Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy
Qin, M., Hu, W., Qi, X., Chang, T.
Energy Economics, 2024, 131, 107403
🔗 [Link Disabled]

📄 An applied framework to assess sustainability awareness and corporate misconduct considering just transition
Qi, X., Sun, L., Hu, Z., Li, E., Ning, Z.
Environmental Impact Assessment Review, 2023, 103, 107261
🔗 [Link Disabled]

📄 Study on international carbon emission quota allocation of shipping industry-based on fairness and efficiency
Hu, Z., Huang, Y., Sun, L., Qi, X., Pan, X.
Frontiers in Marine Science, 2023, 10, 1269643
🔗 [Link Disabled]

📄 Is economic policy uncertainty an excuse for corporate fraud?
Ning, Z., Qi, X.
Economic Research-Ekonomska Istrazivanja, 2023, 36(2), 2182809
🔗 [Link Disabled]

📄 Incubator role of foreign venture capital: evidence from overseas listing of enterprises
Qi, X., Ning, Z., Qin, M.
Economic Research-Ekonomska Istrazivanja, 2023, 36(2), 2142637
🔗 [Link Disabled]

📄 Economic policy uncertainty, investor sentiment and financial stability—an empirical study based on the time varying parameter-vector autoregression model
Qi, X.-Z., Ning, Z., Qin, M.
Journal of Economic Interaction and Coordination, 2022, 17(3), pp. 779–799
🔗 [Link Disabled]

📄 Should gold be stored in chaotic eras?
Qin, M., Su, C.-W., Qi, X.-Z., Hao, L.-N.
Economic Research-Ekonomska Istrazivanja, 2020, 33(1), pp. 224–242
🔗 [Link Disabled]

📄 Financial stability or instability? Impact from Chinese consumer confidence
Liu, S.-Q., Qi, X.-Z., Qin, M., Su, C.-W.
Romanian Journal of Economic Forecasting, 2019, 22(4), pp. 25–43
🔗 [Link Disabled]

Xiong Qiu | Visual Navigation | Best Researcher Award

Posted on 24/01/202524/01/2025 by sciencefather

Dr. Xiong Qiu | Visual Navigation | Best Researcher Award

PhD student at Xi’an Research Institute of High-Tech, Xi’an, China

Xiong Qiu is a Ph.D. student at the Xi’an Research Institute of High-Tech, located in Xi’an, China. He is a dedicated researcher focusing on cutting-edge technologies in Simultaneous Localization and Mapping (SLAM), Convolutional Neural Networks (CNNs), and visual navigation for Unmanned Aerial Vehicles (UAVs). His contributions span impactful academic publications and innovative patented technologies in the field of UAV visual geo-localization.

Publication Profile

Scopus

Educational Background 🎓

Ph.D. (Ongoing): Xi’an Research Institute of High-Tech, Xi’an, China

Professional Experience 💼

Current Role: Ph.D. student at Xi’an Research Institute of High-Tech.
Actively contributing to the development of advanced methodologies in UAV visual navigation, focusing on high-precision localization techniques.

Research Interests 🔬

Simultaneous Localization and Mapping (SLAM)
Convolutional Neural Networks (CNNs)
Visual Navigation for Unmanned Aerial Vehicles (UAVs)

Conclusion🌟

Xiong Qiu has made significant strides in the domain of UAV technologies, specifically in visual navigation and geo-localization systems. Through his academic research and patents, he has contributed to the development of practical and high-precision methodologies that enhance UAV functionality, even in GPS-deprived environments. His focus on innovative technologies like SLAM and CNNs positions him as a promising researcher in his field.

Publications 📚

High-precision visual geo-localization of UAV based on hierarchical localization
🖋 Qiu, X., Liao, S., Yang, D., Li, Y., Wang, S.
📖 Expert Systems with Applications (2025), 267, 126064
🔗 Citations: 0
Image moment extraction-based aerial photo selection for UAV high-precision geolocation without GPS
🖋 Qiu, X., Yang, D., Liao, S., Wang, S., Li, Y.
📖 Measurement: Journal of the International Measurement Confederation (2024), 226, 114141
🔗 Citations: 2
Modeling research on angle measurement accuracy of four-quadrant detector of laser seeker | 激光导引头四象限探测器测角精度的建模研究
🖋 Qiu, X., Wang, S., Liu, Z., Xu, W.
📖 Infrared and Laser Engineering (2020), 49(7), 20190453
🔗 Citations: 7
Effects of Angular Tracking Error of Laser Seeker on Precise Laser Guidance | 激光导引头角跟踪误差对激光精确制导的影响
🖋 Qiu, X., Liu, Z., Wang, S.
📖 Journal of Xi’an Jiaotong University (2020), 54(5), pp. 124–132
🔗 Citations: 1
Influence of Laser-Seeker Detection Performance on High Repetition Rate Interference Laser | 激光导引头探测性能对高重复频率干扰激光器的影响
🖋 Liu, Z., Qiu, X., Wang, S., Wang, Z.
📖 Chinese Journal of Lasers (2019), 46(11), 1101001
🔗 Citations: 3
Research on effective probability of high-repetition interference in semi-active laser guided weapon system | 半主动激光制导武器系统的高重频干扰有效概率研究
🖋 Qiu, X., Liu, Z., Wang, S.
📖 Infrared and Laser Engineering (2019), 48(10), 1005004
🔗 Citations: 2
Pseudo-Random Coding of Semi-Active Laser-Guided Weapon | 半主动激光制导武器的伪随机编码
🖋 Qiu, X., Liu, Z., Wang, S.
📖 Chinese Journal of Lasers (2019), 46(8), 0801008
🔗 Citations: 3
Research on Influencing Factors of Detection Accuracy Based on Laser Seeker
🖋 Liu, S., Liu, Z., Wang, S., Qiu, X.
📖 Journal of Physics: Conference Series (2018), 1087(5), 052039
🔗 Citations: 4

Chaocheng He | AI for collaboration | Best Researcher Award

Posted on 24/01/202524/01/2025 by sciencefather

Assoc. Prof. Dr. Chaocheng He | AI for collaboration | Best Researcher Award

Deputy Director at Wuhan University, China

Dr. Chaocheng He is an accomplished scholar in the field of data science and management, currently serving as an Associate Professor at the School of Information Management, Wuhan University, China. His research focuses on network representation learning, computational social sciences, and the science of science. He has a strong academic and professional background, with numerous awards, funded research projects, and publications in high-impact journals.

Publication Profile

Scopus

Educational Background 🎓

Ph.D. in Data Science (2018.09 – 2022.02)
School of Data Science, City University of Hong Kong, China
Ph.D. in Management Science & Engineering (2016.09 – 2021.06)
School of Information Management, Wuhan University, China
B.A. in Information Management & Information Systems (2012.09 – 2016.06)
Sun Yat-sen University, China

Professional Experience 💼

Associate Professor (2024.01 – Present)
School of Information Management, Wuhan University, China
Assistant Professor (2021.09 – 2024.01)
School of Information Management, Wuhan University, China
Research Assistant (2019.06 – 2020.06)
School of Data Science, City University of Hong Kong, China

Research Interests 🔬

Network Representation Learning
Computational Social Sciences
Science of Science

Awards and Honors🏆✨

Excellent Doctoral Dissertation of Wuhan University (2021)
First-Class Scholarship for Academic Innovation (WHU, 2021)
Second-Class Scholarship for Academic Innovation (WHU, 2020)
National Scholarship (Postgraduate) (2019)
Outstanding Graduates of WHU (2021)
Merit Student of WHU (2019)
National Scholarship (Bachelor) (2015)

Conclusion🌟

Dr. Chaocheng He is a distinguished researcher who has made significant contributions to the fields of network science, research collaboration, and computational social sciences. His academic journey is marked by dual Ph.D. achievements, a robust publication record, and numerous research projects funded by prestigious organizations like the National Science Foundation of China and the China Postdoctoral Science Foundation. His ongoing dedication to excellence is reflected in his influential studies and leadership roles in academia.

Publications 📚

📄 Article
Simulation Research on Diffusion of Pharmaceutical Science and Technology Innovation Leadership Network Based on Multidimensional Proximity
Chaocheng, H., Qian, H., Yushu, X., Jiang, W.
Journal of Modern Information, 2025, 45(1), pp. 60–80
🌟 Citations: 0

📄 Article
The influence of online host–guest interaction on listing popularity in peer-to-peer accommodation: the role of listing price and reputation
Liu, F., Lai, K.-H., He, C.
Information Technology and People, 2024, 37(6), pp. 2302–2323
🌟 Citations: 3

📄 Article
Incorporating resource responsibility into production and logistics management: An empirical investigation
Liu, F., He, C., Lai, K.-H.
Transportation Research Part E: Logistics and Transportation Review, 2024, 187, 103593
🌟 Citations: 1

📄 Article
The Model of Knowledge Transformation in Human-Intelligence Interaction Contexts: Enriching Connotations and Extending Dimensions | 人智交互情境下的知识转化模型: 内涵深化及外延拓展
Yuan, Y., Tao, C., He, C., Wu, J.
Information Studies: Theory and Application, 2024, 47(6)
🌟 Citations: 1

📄 Article
Market reaction to responsible production practices adoption: The role of firm size and financial slack
Liu, F., He, C., Lai, K.-H.
International Journal of Production Economics, 2024, 272, 109244
🌟 Citations: 1

📄 Article
Involution-Cooperation-Lying Flat Game on a Network-Structured Population in the Group Competition
Chaocheng, H., Qian, H., Xinru, L., Yuchi, W., Jiang, W.
IEEE Transactions on Computational Social Systems, 2024, 11(2), pp. 2160–2178
🌟 Citations: 4

🎤 Conference Paper
Call the shots or follow suit? Research on the Evolution of Artificial Intelligence Scientific Collaboration Networks from a Leadership-Participation Perspective
He, C., Du, J., Zhang, J.
Proceedings of the International Conference on Electronic Business (ICEB), 2024, 24, pp. 65–75
🌟 Citations: 0

🎤 Conference Paper
Enhancing Pneumonia Diagnosis Using an Ensemble Transformer-Based Attention Network for Chest X-Ray Image Analysis
Song, Y., Ren, H., Jing, F., Xie, Y., Zhou, J.
2024 2nd International Conference on Big Data and Privacy Computing (BDPC), 2024, pp. 154–159
🌟 Citations: 0

📄 Article (In Press)
Introducing yourself to strangers: does conversational self-presentation matter in peer-to-peer accommodation
Liu, F., He, C., Lai, K.-H.
Internet Research, 2024
🌟 Citations: 0

🎤 Conference Paper
Analysis of the Impact of Researchers’ Knowledge Diversity on Research Productivity from a Knowledge Meta-Perspective
Li, X., He, C.
Communications in Computer and Information Science, 2024, 2102 CCIS, pp. 197–211
🌟 Citations: 0

Xin Fan | Physical Layer Security | Best Researcher Award

Posted on 20/01/202523/01/2025 by sciencefather

Assist. Prof. Dr. Xin Fan | Physical Layer Security | Best Researcher Award

Assistant Professor at Beijing Forestry University, China

Dr. Xin Fan is an Assistant Professor at the School of Information Science and Technology, Beijing Forestry University, Beijing, China. He has a strong academic background, having completed his B.E., M.E., and Ph.D. in Electronic and Information Engineering at Beijing Jiaotong University. His expertise spans wireless communications, machine learning, security and privacy, optimization, statistical signal processing, and blockchain technologies. With a visiting research experience at George Mason University, Dr. Fan has made significant contributions to edge intelligence through innovative joint optimization methods for wireless communication and airborne federated learning.

Publication Profile

Scopus

Educational Background 🎓

Bachelor’s Degree (B.E.): Electronic and Information Engineering, Beijing Jiaotong University, China (2016)
Master’s Degree (M.E.): Electronic and Information Engineering, Beijing Jiaotong University, China (2018)
Doctoral Degree (Ph.D.): Electronic and Information Engineering, Beijing Jiaotong University, China (2023)
Visiting Ph.D. Student: Electrical and Computer Engineering, George Mason University, USA (2020-2022)

Professional Experience 💼

Assistant Professor: School of Information Science and Technology, Beijing Forestry University, Beijing, China.
Guest Editor: Electronics Journal.
IEEE MILCOM Technical Program Committee (TPC) Member.
Participated in five consultancy/industry projects and completed nine research projects.

Research Interests 🔬

Wireless communications
Machine learning
Security and privacy
Optimization
Statistical signal processing
Blockchain

Awards and Honors🏆✨

Nominee for the “Best Researcher Award” at the Global Innovation Technologist Awards.
IEEE Member and IEEE Communication Society Member.
CIC (China Institute of Communications) Member and CIE (Chinese Institute of Electronics) Member.

Contributions

Dr. Xin Fan has significantly advanced the field of wireless communications and machine learning. His work focuses on proposing joint optimization methods for wireless communication and airborne federated learning, promoting edge intelligence. He has authored 19 SCI-indexed journal papers and numerous conference publications in prestigious platforms such as IEEE IoT-J, IEEE TWC, IEEE TCCN, IEEE ICC, and IEEE Globecom. He has also contributed to nine patents, demonstrating his commitment to innovation.

Conclusion🌟

Dr. Xin Fan is a dedicated researcher and academic with a robust background in wireless communications and machine learning. His innovations in joint optimization and edge intelligence highlight his contributions to advancing technology in wireless communication systems. With 445 citations, editorial appointments, and memberships in prestigious professional organizations, Dr. Fan continues to make a lasting impact in his field.

Publications 📚

📄 Article in Press
Self-Learning Based Dependable Offloading Optimization in Semi-Trusted Vehicular Edge Computing and Networks
Li, X., Jing, T., Li, R., … Huo, Y., Yu, F.R.
📕 IEEE Transactions on Vehicular Technology, 2025
🔗 Abstract: [Unavailable]
🔗 Related Documents: [Unavailable]
🔢 Citations: 0

📘 Conference Paper
3D Physical Layer Secure Transmission for UAV-Assisted Mobile Communications Without Locations of Eavesdroppers
Yu, W., Li, J., Fan, X., … Hong, Y., Chen, T.
📕 Lecture Notes in Computer Science (LNCS), 2025, 14998 LNCS, pp. 355–366
🔗 Abstract: [Unavailable]
🔗 Related Documents: [Unavailable]
🔢 Citations: 0

🌐 Open Access Article
CB-DSL: Communication-Efficient and Byzantine-Robust Distributed Swarm Learning on Non-i.i.d. Data
Fan, X., Wang, Y., Huo, Y., Tian, Z.
📕 IEEE Transactions on Cognitive Communications and Networking, 2024, 10(1), pp. 322–334
🔗 Abstract: [Unavailable]
🔗 Related Documents: [Unavailable]
🔢 Citations: 4

📄 Article
UAV-Assisted Multi-Object Computing Offloading for Blockchain-Enabled Vehicle-to-Everything Systems
Chen, T., Wang, S., Fan, X., … Luo, C., Hong, Y.
📕 Computers, Materials and Continua, 2024, 81(3), pp. 3927–3950
🔗 Abstract: [Unavailable]
🔗 Related Documents: [Unavailable]
🔢 Citations: 0

📄 Article in Press
DT-Driven Computation Offloading for Edge Computing in IIoT with RIS-Assisted Multi-UAVs
Luo, C., Zhao, S., Sun, Q., … Sun, G., Zhang, L.
📕 IEEE Internet of Things Journal, 2024
🔗 Abstract: [Unavailable]
🔗 Related Documents: [Unavailable]
🔢 Citations: 0

🔒 Secure Transmission Article
Secure Transmission Scheme for Blocks in Blockchain-Based Unmanned Aerial Vehicle Communication Systems
Chen, T., Jiang, S., Fan, X., … Luo, C., Hong, Y.
📕 Computers, Materials and Continua, 2024, 81(2), pp. 2195–2217
🔗 Abstract: [Unavailable]
🔗 Related Documents: [Unavailable]
🔢 Citations: 0

📑 Article
Two-Stage Offloading for Enhancing Distributed Vehicular Edge Computing and Networks: Model and Algorithm
Li, X., Jing, T., Wang, X., … Li, X., Richard Yu, F.
📕 IEEE Transactions on Intelligent Transportation Systems, 2024, 25(11), pp. 17744–17761
🔗 Abstract: [Unavailable]
🔗 Related Documents: [Unavailable]
🔢 Citations: 2

🎓 Conference Paper
GANFed: GAN-Based Federated Learning with Non-IID Datasets in Edge IoTs
Fan, X., Wang, Y., Zhang, W., … Cai, Z., Tian, Z.
📕 IEEE International Conference on Communications, 2024, pp. 5443–5448
🔗 Abstract: [Unavailable]
🔗 Related Documents: [Unavailable]
🔢 Citations: 0

🌟 Open Access Article
Distributed Swarm Learning for Edge Internet of Things
Wang, Y., Tian, Z., Fan, X., … Nowzari, C., Zeng, K.
📕 IEEE Communications Magazine, 2024, 62(11), pp. 160–166
🔗 Abstract: [Unavailable]
🔗 Related Documents: [Unavailable]
🔢 Citations: 2

📚 Conference Paper
1-Bit Compressive Sensing for Efficient Federated Learning Over the Air
Fan, X., Wang, Y., Huo, Y., Tian, Z.
📕 IEEE Transactions on Wireless Communications, 2023, 22(3), pp. 2139–2155
🔗 Abstract: [Unavailable]
🔗 Related Documents: [Unavailable]
🔢 Citations: 16

Elsadig Musa Ahmed | Digital Technology Adoption | Best Researcher Award

Posted on 20/01/202520/01/2025 by sciencefather

Prof. Dr. Elsadig Musa Ahmed | Digital Technology Adoption | Best Researcher Award

Professor at Multimedia University, Malaysia

Professor Elsadig Musa Ahmed Mohammed is an accomplished academic in Development Economics, currently a Professor at Multimedia University, Melaka, Malaysia. With over 20 years of teaching, research, and administrative experience, he specializes in economics, productivity analysis, and sustainability. He has extensively published in his field and contributed significantly to academia through teaching, supervision, and international collaborations.

Publication Profile

Scopus

Educational Background 🎓

Ph.D. in Development Economics (2005) – Universiti Putra Malaysia.
Thesis: Impact of Air and Water Pollutant Emissions on Malaysia’s Manufacturing Sector Productivity Growth.
M.Sc. in Development Economics (1998) – Universiti Putra Malaysia.
Thesis: Productivity and Performance of Malaysian Food Manufacturing Industry.
B.Sc. in Agricultural Economics (1992) – University of Al-Azhar, Cairo, Egypt.

Professional Experience 💼

Professor (2015–Present) – Multimedia University, Malaysia.
- Teaching Economics and Business courses (undergraduate and postgraduate).
- Supervising Ph.D., DBA, and MBA students.
Associate Professor (2010–2015) – Multimedia University, Malaysia.
Senior Lecturer (2008–2010) – Multimedia University, Malaysia.
Lecturer (2004–2008) – Multimedia University, Malaysia.
Research Assistant (1998) – Universiti Putra Malaysia.
Storekeeper (1985–1988) – Kenana Sugar Company, Sudan.

Research Interests 🔬

Development economics.
Productivity analysis (technological progress and technology transfer).
Digital and knowledge-based economy.
Green productivity and environmental economics.
Tourism and economic growth.
Microfinance and bioeconomy.

Awards and Honors🏆✨

Recognized as a leading researcher in the fields of digital inclusion and sustainable development, reflected in his editorial work on the book Developing Digital Inclusion Through Globalization and Digitalization (2024).
Reviewer and assessor for academic promotions and research grants under the Malaysian Ministry of Higher Education.
Senate member and ethics committee member at Multimedia University (2015–2021).

Conclusion🌟

Professor Elsadig Musa Ahmed Mohammed is a distinguished scholar and educator with a robust background in development economics and productivity analysis. His work integrates economics with technology, sustainability, and digitalization, showcasing his commitment to addressing global economic challenges. He continues to mentor future scholars and lead impactful research projects that shape the future of economic development.

Publications 📚

Palestinian small and medium enterprises digital technology adoption intention
- 📝 Mujahed, H.M.H., Ahmed, E.M., Samikon, S.A.
- 🗓️ Journal of Open Innovation: Technology, Market, and Complexity, 2024, 10(4), 100426
Enhancing environmental quality and economic growth through potential effects of energy efficiency and renewable energy in Asian economies
- 📝 Ahmed, E.M., Elfaki, K.E.
- 🗓️ Scientific Reports, 2024, 14(1), 22914
Testing technological Kuznets curve implications on achieving sustainable development goal 10 in seven Asian countries
- 📝 Elfaki, K.E., Ahmed, E.M.
- 🗓️ Technological Forecasting and Social Change, 2024, 209, 123785
Globalization and financial development contributions toward economic growth in Sudan
- 📝 Eltayeb Elfaki, K., Musa Ahmed, E.
- 🗓️ Research in Globalization, 2024, 9, 100246
Big Data Analytics Implications on Central Banking Green Technological Progress
- 📝 Ahmed, E.M.
- 🗓️ International Journal of Information Technology and Decision Making, 2024, 23(5), pp. 2065–2087
Green Technological Progress Implications on Long-Run Sustainable Economic Growth
- 📝 Ahmed, E.M., Elfaki, K.E.
- 🗓️ Journal of the Knowledge Economy, 2024, 15(2), pp. 6860–6877
Digital technology adoption and globalization innovation implications on Asian Pacific green sustainable economic growth
- 📝 Elfaki, K.E., Ahmed, E.M.
- 🗓️ Journal of Open Innovation: Technology, Market, and Complexity, 2024, 10(1), 100221
Factors determining employee engagement role in Malaysian private higher educational institutions
- 📝 Yusof, A., Ahmed, E.M., Said, A.-M.A.
- 🗓️ International Journal of Learning and Intellectual Capital, 2024, 21(3), pp. 253–274
Mediating effect of risk management practices in Iraqi private banks financial performance
- 📝 Mahmood, N.S., Ahmed, E.M.
- 🗓️ Journal of Financial Services Marketing, 2023, 28(2), pp. 358–377
A revision of the sustainable development goals in light of the digital revolution, innovation and climate change integration, global conflicts, pandemics and disasters
- 📝 Ahmed, E.M.
- 🗓️ World Sustainable Development Outlook, 2024, 22, pp. 17–41

Asif Jabbar | Management | Best Researcher Award

Posted on 18/01/202518/01/2025 by sciencefather

Mr. Asif Jabbar | Management | Best Researcher Award

PhD at Shenzhen University, Pakistan

Asif Jabbar is an accomplished professional with extensive experience in finance, taxation, academia, and research. With a strong academic foundation, including an M.Com from the University of Management and Technology, Lahore, he has demonstrated expertise in financial analysis, taxation strategies, and teaching finance-related courses. He has worked in various capacities, such as a Lecturer, Finance Executive, Taxation Officer, and Accountant Assistant, showcasing his versatility across academia and industry. Asif Jabbar is also a published researcher, contributing to journals such as the Journal of Contingencies and Crisis Management and the Open Journal of Business and Management. His publications reflect a keen interest in interdisciplinary topics, including consumer behavior, crisis management, and the not-for-profit sector. Furthermore, he has demonstrated linguistic skills with HSK Level-4 proficiency in Chinese, enhancing his global competencies.

Publication Profile

Scopus

Educational Background 🎓

M.Com (Master of Commerce): 2016-2018
School of Commerce and Accountancy, University of Management and Technology, Lahore.
B.Com (Bachelor of Commerce): 2013-2015
Department of Commerce, University of the Punjab, Lahore.
Intermediate in Science (F.Sc): 2008-2010
Government College, Okara.

Professional Experience 💼

Finance Executive
Pure Logics IT Company Pvt Ltd (2021-2022)
Responsibilities:

Created and implemented financial policies.
Planned budgets to enhance operational efficiency.
Monitored cash flow and financial reports.
Prepared balance sheets and resolved financial issues.
Supervised accounting teams and conducted financial analysis.

Lecturer
Global Institute University Lahore (2020-2021)
Responsibilities:

Prepared and delivered lectures on finance and accounts.
Developed course material and collaborated with academic peers.
Conducted research and participated in academic events.

Taxation Officer
USA Taxation Abode Pvt Ltd (2019-2020)
Responsibilities:

Prepared tax payments and reports.
Managed tax databases and identified tax-saving strategies.

Accountant Assistant
Global Institute University Lahore (2012-2013)
Responsibilities:

Handled invoice processing and credit control.
Maintained cash books and reconciled bank accounts.

Finance Assistant
Umang Development Foundation (2011-2012)
Responsibilities:

Updated financial spreadsheets and balance sheets.
Tracked accounts payable/receivable and supported payroll processes.

Research Interests 🔬

Accounting and Financial Analysis:
- Financial performance evaluation of industries and corporations.
- Ratio analysis and equity analysis.
- Corporate social responsibility and its impact on organizations.
Consumer Behavior and Market Dynamics:
- Behavioral aspects of saving and investment decisions.
- Adoption factors for renewable energy solutions (e.g., solar energy).
Interdisciplinary Applications in Finance:
- Application of service system frameworks to non-profit sectors.
- Role of financial policies in organizational efficiency and strategy.
Teaching and Leadership:
- Developing curricula and engaging teaching methods for finance and management sciences.
- Leadership and emotional intelligence in professional settings.

Awards & Scholarships🏆✨

CSC Chinese Government Scholarship for Language Course (HSK4).
UMT Scholarship during M.Com.
Army Fauji Foundation Scholarship throughout academic career.

Conclusion🌟

Asif Jabbar is a multifaceted individual who bridges the gap between academia and practical application in finance, accounting, and management. His work emphasizes problem-solving, strategic decision-making, and advancing financial literacy in diverse contexts. His published research and teaching experience underscore his ability to synthesize complex ideas into actionable insights. With interests that span academic rigor and industry relevance, Asif Jabbar is poised to contribute significantly to the fields of finance, consumer behavior, and management sciences.

Publications 📚

📡 Enhancing Radar Tracking Accuracy Using Combined Hilbert Transform and Proximal Gradient Methods
👨‍🔬 Authors: Jabbar, A., Jabbar, M.K., Jabbar, A., Mahmood, T., Rehman, A.
📜 Journal: Results in Engineering
📅 Year: 2024
📖 Volume: 24
🔢 Article Number: 103479
⭐ Citations: 0

🌍 The Holistic Repercussions of the Ongoing War and Refugee Crisis on the Polish Travel Agencies
👨‍🔬 Authors: Ahmad, Z., Mehmood, S., Khan, A.A., Khan, S., Jabbar, A.
📜 Journal: Journal of Contingencies and Crisis Management
📅 Year: 2024
📖 Volume: 32
📘 Issue: 1
🔢 Article Number: e12547
⭐ Citations: 0

Muhammad Kashif Jabbar | Artificial Intelligence | Best Researcher Award

Posted on 18/01/202518/01/2025 by sciencefather

Mr. Muhammad Kashif Jabbar | Artificial Intelligence | Best Researcher Award

Doctor Student at Shenzhen University, China

Muhammad Kashif Jabbar is a research-focused professional specializing in medical image processing. With a strong foundation in Electronics and Information Engineering, he has contributed significantly to research, particularly in developing transfer learning-based models for diabetic retinopathy diagnosis. Muhammad Kashif is multilingual, skilled in technical domains, and experienced in international collaborations.

Publication Profile

Scopus

Educational Background 🎓

Shenzhen University
- Degree: Ph.D. in Electronics and Information Engineering
- Specialization: Medical Image Processing
- Session: September 2018 – June 2022
Beijing University of Technology (BJUT)
- Degree: Master’s in Information and Communication Engineering
- Specialization: Medical Image Processing
- Session: September 2018 – June 2022
Superior University of Lahore
- Degree: Master’s in Information Technology (MIT)
- Session: 2014 – 2016

Professional Experience 💼

Worked extensively on developing advanced methodologies in medical image processing.
Conducted research focusing on diabetic retinopathy diagnosis, utilizing transfer learning techniques.
Developed applications in web development and database management.

Research Interests 🔬

Medical Image Processing
Transfer Learning for Disease Diagnosis
Data Security in Medical Imaging (Steganography and Cryptography)
Artificial Intelligence and Optimization Algorithms in Healthcare Applications

Awards and Honors🏆✨

Passed HSK4 Chinese Language Proficiency Exam (2018).
Performed at the 14th BJUT International Day opening ceremony.
Recognized for successful completion of the 2019 International Students Exploring Haidian program.

Certifications

HSK4 Chinese Language Certification – Beijing University of Technology
Graphic Design – ARENA Multimedia, Islamabad Campus (2015)

Conclusion🌟

Muhammad Kashif Jabbar is a highly skilled researcher with a passion for advancing medical technologies using artificial intelligence and image processing techniques. His education and expertise make him a valuable asset to organizations focused on cutting-edge medical research and innovation.

Publications 📚

📡 Radar and Engineering

Enhancing Radar Tracking Accuracy Using Combined Hilbert Transform and Proximal Gradient Methods
- Authors: Jabbar, A., Jabbar, M.K., Jabbar, A., Mahmood, T., Rehman, A.
- Journal: Results in Engineering, 2024, 24, 103479.
- 🌐 Type: Article (Open Access)
- 📊 Citations: 0

👁️ Ophthalmology and AI

A Retinal Detachment Based Strabismus Detection Through FEDCNN
- Authors: Jabbar, A., Jabbar, M.K., Mahmood, T., Nobanee, H., Rehman, A.
- Journal: Scientific Reports, 2024, 14(1), 23255.
- 🌐 Type: Article (Open Access)
- 📊 Citations: 0

🔄 Errata and Corrections

Correction to: Deep Transfer Learning-Based Automated Diabetic Retinopathy Detection Using Retinal Fundus Images in Remote Areas
- Authors: Jabbar, A., Naseem, S., Li, J., Rehman, A., Saba, T.
- Journal: International Journal of Computational Intelligence Systems, 2024, 17(1), 145.
- 🌐 Type: Erratum (Open Access)
- 📊 Citations: 1
Correction to: Transfer Learning-Based Model for Diabetic Retinopathy Diagnosis Using Retinal Images
- Authors: Jabbar, M.K., Yan, J., Xu, H., Ur Rehman, Z., Jabbar, A.
- Journal: Brain Sciences, 2024, 14(8), 777.
- 🌐 Type: Erratum (Open Access)
- 📊 Citations: 0

🧠 Diabetic Retinopathy and AI Models

Transfer Learning-Based Model for Diabetic Retinopathy Diagnosis Using Retinal Images
- Authors: Jabbar, M.K., Yan, J., Xu, H., Rehman, Z.U., Jabbar, A.
- Journal: Brain Sciences, 2022, 12(5), 535.
- 🌐 Type: Article (Open Access)
- 📊 Citations: 49

Umesh Kumar Lilhore | Deep Learning | Best Researcher Award

Posted on 08/01/202508/01/2025 by sciencefather

Dr. Umesh Kumar Lilhore | Deep Learning | Best Researcher Award

Professor at Galgotias University, India

Dr. Umesh Kumar Lilhore is a seasoned Professor and Researcher in Computer Science and Engineering (CSE) at Galgotias University, Greater Noida, India. With over 18 years of experience in academia and research, he has established himself as an expert in Artificial Intelligence (AI), Deep Learning, and Environmental Studies. Dr. Lilhore has earned a Ph.D. and M.Tech in CSE, complemented by a Postdoctoral fellowship from the USA. He has published over 100 research articles in indexed journals, with more than 3,800 citations and an h-index of 29+, showcasing his impactful contributions to the academic community.

Publication Profile

Scopus

Educational Background 🎓

Ph.D.: Computer Science and Engineering (Institution not specified)
M.Tech: Computer Science and Engineering (Institution not specified)
Postdoctoral Fellowship: USA (Institution not specified)

Professional Experience 💼

Designation: Professor, Computer Science and Engineering
Institution: Galgotias University, Greater Noida, India
Years of Experience: Over 18 years in teaching and research
Editorial Appointment: Editorial Board Member, Springer Journal: BMC Medical Informatics and Decision Making
Collaborations: National and international collaborations with institutions such as:
- National University of Science and Technology Politehnica Bucharest
- Pitesti University Center, Romania
- University of Louisiana, USA
- Arab Minch University

Research Interests 🔬

Artificial Intelligence (AI)
Deep Learning
Environmental Studies

Awards and Honors🏆✨

Patents:
- 35 Indian patents
- 2 UK design patents
Books Published: 10+ Scopus-indexed books
Projects: Completed AICTE-funded Air Quality Analysis project
Professional Memberships: IEEE, ACM

Contributions and Achievements

Published 51 SCI-indexed and 102 Scopus-indexed research papers.
Google Scholar citation index: 28+ with 3,800+ citations and an h-index of 29+.
Collaborated on research projects with prestigious international institutions.
Actively engaged in advancing AI and sustainability research.

Conclusion🌟

Dr. Umesh Kumar Lilhore exemplifies excellence in academia, research, and innovation. His prolific contributions to AI, Deep Learning, and Environmental Studies reflect his dedication to addressing critical global challenges. With a strong record of publications, patents, and collaborative projects, he has significantly advanced knowledge and applications in his field. Dr. Lilhore continues to inspire as a thought leader, mentor, and innovator in computer science and engineering.

Publications 📚

📄 Systematic Review on Cardiovascular Disease Detection and Classification
Authors: Pandey, V., Lilhore, U.K., Walia, R.
Journal: Biomedical Signal Processing and Control, 2025, 102, 107329.
📊 Citations: 0

📚 An Attention-Driven Hybrid Deep Neural Network for Enhanced Heart Disease Classification
Authors: Lilhore, U.K., Simaiya, S., Alhussein, M., Aurangzeb, K., Hussain, A.
Journal: Expert Systems, 2025, 42(2), e13791.
📊 Citations: 0

⚠️ Erratum: Hybrid CNN-LSTM Model with Efficient Hyperparameter Tuning for Prediction of Parkinson’s Disease
Authors: Lilhore, U.K., Dalal, S., Faujdar, N., Thangaraju, P., Velmurugan, H.
Journal: Scientific Reports, 2024, 14(1), 27077.
📊 Citations: 0

⚙️ Improving Efficiency and Sustainability via Supply Chain Optimization Through CNNs and BiLSTM
Authors: Dalal, S., Lilhore, U.K., Simaiya, S., Radulescu, M., Belascu, L.
Journal: Technological Forecasting and Social Change, 2024, 209, 123841.
📊 Citations: 0

❤️ Enhancing Heart Disease Classification with M2MASC and CNN-BiLSTM Integration for Improved Accuracy
Authors: Pandey, V., Lilhore, U.K., Walia, R., Baqasah, A.M., Algarni, S.
Journal: Scientific Reports, 2024, 14(1), 24221.
📊 Citations: 0

🧬 Intelligence Model on Sequence-Based Prediction of PPI Using AISSO Deep Concept with Hyperparameter Tuning Process
Authors: Thareja, P., Chhillar, R.S., Dalal, S., Baqasah, A.M., Algarni, S.
Journal: Scientific Reports, 2024, 14(1), 21797.
📊 Citations: 0

🔬 Optimizing Protein Sequence Classification: Integrating Deep Learning Models with Bayesian Optimization for Enhanced Biological Analysis
Authors: Lilhore, U.K., Simiaya, S., Alhussein, M., Dalal, S., Aurangzeb, K.
Journal: BMC Medical Informatics and Decision Making, 2024, 24(1), 236.
📊 Citations: 0

☁️ Optimizing Energy Efficiency in MEC Networks: A Deep Learning Approach with Cybertwin-Driven Resource Allocation
Authors: Lilhore, U.K., Simaiya, S., Dalal, S., Baqasah, A.M., Algarni, S.
Journal: Journal of Cloud Computing, 2024, 13(1), 126.
📊 Citations: 0

🌾 Maize Leaf Disease Recognition Using PRF-SVM Integration: A Breakthrough Technique
Authors: Bachhal, P., Kukreja, V., Ahuja, S., Alroobaea, R., Algarni, S.
Journal: Scientific Reports, 2024, 14(1), 10219.
📊 Citations: 1

✅ Correction: Hybrid CNN-LSTM Model with Efficient Hyperparameter Tuning for Prediction of Parkinson’s Disease
Authors: Lilhore, U.K., Dalal, S., Faujdar, N., Thangaraju, P., Velmurugan, H.
Journal: Scientific Reports, 2024, 14(1), 9335.
📊 Citations: 0