Best Researcher Award
Yan Liu
North Minzu University, China
Yan Liu is a researcher affiliated with North Minzu University, China, whose documented scholarly profile includes contributions to mathematics and control-related research. The available bibliometric information records 12 documents, 94 citations and an h-index of 7. These indicators provide a quantitative overview of publication activity and citation visibility, while the researcher’s reported 2025 publication on iterative learning control offers a specific example of work connecting algebraic methods with discrete-time system analysis. [1]
Abstract
This article presents a research-profile overview of Yan Liu in the context of the Best Researcher Award associated with the Global Innovation Technologist Awards. The supplied record identifies a mathematics research profile and bibliometric indicators comprising 12 documents, 94 citations and an h-index of 7. A highlighted publication, “An Algebraic Approach to Robust Iterative Learning Control for Linear Discrete-Time Singular System With Initial State Shifting,” appeared in 2025 in IEEE Transactions on Systems, Man, and Cybernetics: Systems. The article summarizes its stated research focus and outlines considerations relevant to scholarly recognition without treating publication metrics alone as proof of research quality. [1]
Keywords
Yan Liu; mathematics; iterative learning control; discrete-time systems; singular systems; robust control; algebraic methods; bibliometrics; research impact; Best Researcher Award.
Introduction
Research recognition commonly considers the relevance, originality, rigor and influence of scholarly work. In mathematics and control systems, research may address theoretical methods as well as the analysis of systems with practical engineering implications. Liu’s reported publication on robust iterative learning control situates the research profile within this interdisciplinary area. The award context provides an opportunity to present the available academic record while distinguishing verified bibliographic information from broader assessments requiring independent review. [1]
Research Profile
The supplied profile associates Yan Liu with North Minzu University in China and identifies mathematics as the subject area. The listed Scopus author identifier is 57206823708. The profile reports 12 documents and 94 citations, with an h-index of 7. These values should be interpreted in relation to database coverage, publication dates, authorship attribution and the citation practices of the relevant discipline. [2]
Research Contributions
The highlighted study addresses robust iterative learning control for linear discrete-time singular systems under initial-state shifting. Its title indicates an algebraic approach to a control problem involving repeated system operation and changes in initial conditions. Iterative learning control generally uses information from previous executions to improve performance in subsequent executions. Singular systems, meanwhile, require methods that account for their particular mathematical structure. The paper’s specific theoretical results and experimental validation should be assessed from the published article itself. [1]
Publications
The supplied bibliographic record identifies the following publication as a relevant example of Liu’s research activity:
- An Algebraic Approach to Robust Iterative Learning Control for Linear Discrete-Time Singular System With Initial State Shifting. Authors listed in the supplied record include Ruan Xiao’e, Hussain Ijaz, Liu Chen, Liu Yan and Li Bingqiang. Published in IEEE Transactions on Systems, Man, and Cybernetics: Systems in 2025. The record reports five citations for this publication. [1]
Full-text access and DOI details were not included in the supplied bibliographic information. The journal record should therefore be consulted to verify the complete author metadata and persistent publication identifier.
Research Impact
The reported 94 citations indicate that the indexed documents have received scholarly references, while the h-index of 7 summarizes a combination of publication productivity and citation influence. Neither measure independently establishes methodological quality, originality or broader societal impact. A balanced evaluation would examine the contribution of individual papers, citation context, collaboration patterns and the significance of results within mathematics and control engineering. [2]
Award Suitability
The Best Researcher Award profile highlights a documented publication record, measurable citation activity and research relevant to mathematical and control-system methods. A fair assessment by the Global Innovation Technologist Awards would also consider originality, contribution to the field, publication quality, research integrity and independent expert evaluation. The available information supports a structured profile, but does not establish an award decision or independently verify eligibility.
Conclusion
Yan Liu’s supplied academic profile records research activity in mathematics and a 2025 publication addressing robust iterative learning control in linear discrete-time singular systems. The available bibliometric figures offer a concise view of scholarly visibility. Further assessment of the researcher’s overall contribution requires examination of the complete publication record and independent evaluation of the work’s originality, rigor and influence.
External Links
References
- Ruan, X. E., Hussain, I., Liu, C., Liu, Y., & Li, B. (2025). An Algebraic Approach to Robust Iterative Learning Control for Linear Discrete-Time Singular System With Initial State Shifting.
https://www.scopus.com/authid/detail.uri?authorId=57206823708
- Elsevier. (n.d.). Scopus author details: Yan Liu, Author ID 57206823708. Scopus. Bibliometric figures in this article reflect the supplied profile data and may change as the database is updated.
https://www.scopus.com/authid/detail.uri?authorId=57206823708
- Global Innovation Technologist Awards. (n.d.). Official website. Information about the awards and their program should be verified through the official website.
innovationtechnologist.com