Innovative Research Award

Jieying He
Chinese Academy of Sciences, China

Jieying He
Affiliation	Chinese Academy of Sciences
Country	China
Scopus ID	36655633900
Documents	133
Citations	474
h-index	12
Subject Area	Environmental Science
Event	Global Innovation Technologist Awards
ORCID	0000-0002-6163-4010

Jieying He is a researcher affiliated with the Chinese Academy of Sciences whose indexed publication record includes work relevant to atmospheric observation, satellite-based remote sensing, precipitation estimation, and environmental data analysis. The reported bibliometric indicators comprise 133 documents, 474 citations, and an h-index of 12. These figures provide quantitative context for evaluating research activity and scholarly visibility; they should be interpreted alongside publication quality, individual contributions, and the significance of the research findings. [1]

Abstract

This academic recognition profile summarizes the available bibliometric indicators and selected recent publications associated with Jieying He. The listed studies address atmospheric humidity retrieval, quantitative precipitation estimation, and wet tropospheric correction using satellite and ground-based observations. These topics support environmental monitoring and the development of improved atmospheric measurement methods. Publication details and identifiers are provided for independent verification. [2]

Keywords

Environmental Science; remote sensing; satellite meteorology; atmospheric humidity; precipitation estimation; microwave radiometry; tropospheric correction; research impact; scientific innovation.

Introduction

Satellite observations and atmospheric sensing technologies provide important information for weather analysis, hydrological applications, and environmental assessment. Improving retrieval accuracy requires effective use of complementary instruments, atmospheric guidance, and computational methods. Research in these areas can contribute to more reliable environmental datasets and better characterization of atmospheric processes. [3]

Research Profile

The supplied profile records 133 documents, 474 citations, and an h-index of 12. Together, these indicators describe publication volume, citation activity, and a measure of sustained scholarly influence. They do not independently establish methodological quality or the practical significance of each contribution. Institutional affiliation and researcher identifiers offer additional points of reference for checking publication attribution. [1]

Research Contributions

The supplied publication records indicate work involving satellite-based atmospheric observations and quantitative measurement techniques. The themes include humidity profiling under cloudy conditions, precipitation estimation through deep learning, and correction of atmospheric effects in microwave measurements. These research directions address technical challenges in extracting useful environmental information from remote-sensing instruments. Specific author contributions and individual study outcomes require examination of the full articles. [4]

Publications

Three supplied publications in Remote Sensing illustrate relevant research themes. Their titles, dates, and DOI identifiers are listed below.

1. “Enhancing FY-3E/VASS Humidity Profiles During a Cloudy Atmospheric River Event Using Clear-Sky FY-4B/GIIRS Guidance.” Published 9 October 2026.
2. “Deep Learning-Based Quantitative Precipitation Estimation Using Ground-Based Microwave Radiometer and Micro-Rain Radar Observations.” Published 1 September 2026.
3. “An Adaptive Wet Tropospheric Correction Method Using a Spaceborne Microwave Radiometer.” Published 7 July 2026.

The DOI links provide persistent identifiers for locating the respective publication records. Author-level attribution should be checked against the publisher’s metadata before drawing conclusions about specific contributions. [5]

Research Impact

The reported citation count and h-index suggest an established indexed research record. The subject matter of the supplied publications has potential relevance to atmospheric monitoring and remote-sensing applications. However, citation indicators vary by discipline, publication age, and database coverage. A comprehensive impact assessment should also consider reproducibility, methodological advances, collaboration, and demonstrated use of research outputs. [1]

Award Suitability

The Innovative Research Award associated with the Global Innovation Technologist Awards provides a context for recognizing research activity and innovation. The supplied metrics and publication topics may inform an evaluation of scholarly output and subject relevance. A final award decision should rely on documented eligibility criteria, verified authorship, originality, research quality, and evidence of contribution rather than bibliometric indicators alone.

Conclusion

Jieying He’s supplied research profile presents measurable scholarly activity and publication themes related to remote sensing and atmospheric observation. The listed records offer starting points for assessing research relevance and potential environmental applications. Independent verification of researcher attribution, publication details, and award criteria remains essential to a balanced academic recognition assessment.

External Links

• ORCID Profile
• Scopus Author Profile
• Global Innovation Technologist Awards

References

1. Elsevier. (n.d.). Scopus author details: Jieying He, Author ID 36655633900. Scopus.
   https://www.scopus.com/authid/detail.uri?authorId=36655633900
2. He, J. (researcher attribution to be verified). (2026). Enhancing FY-3E/VASS Humidity Profiles During a Cloudy Atmospheric River Event Using Clear-Sky FY-4B/GIIRS Guidance. Remote Sensing.
   DOI: 10.3390/rs18203447.
3. He, J. (researcher attribution to be verified). (2026). Deep Learning-Based Quantitative Precipitation Estimation Using Ground-Based Microwave Radiometer and Micro-Rain Radar Observations. Remote Sensing.
   DOI: 10.3390/rs18172941.
4. He, J. (researcher attribution to be verified). (2026). An Adaptive Wet Tropospheric Correction Method Using a Spaceborne Microwave Radiometer. Remote Sensing.
   DOI: 10.3390/rs18132250.
5. Multidisciplinary Digital Publishing Institute (MDPI). (2026). Remote Sensing: Journal and article records. Publisher website. Individual publication metadata should be consulted to verify complete author lists and bibliographic details.
6. ORCID. (n.d.). Jieying He researcher identifier record. ORCID.
   https://orcid.org/0000-0002-6163-4010