Sun Yubing | Computer Science and Artificial Intelligence | Best Researcher Award

Dr. Sun Yubing | Computer Science and Artificial Intelligence | Best Researcher Award

Wenzhou University | China

Dr. Yubing Sun earned his PhD from Zhejiang University and currently serves as a lecturer at Wenzhou University, where he leads research efforts on advanced gas-sensor technologies and their systems for agricultural applications. His research focuses on improving sensitivity, selectivity, stability and drift compensation of gas sensors, and deploying sensor systems for field-scale agricultural monitoring. While a formal h-index, total document count and citation count are not publicly verified, his publication record and successful leadership in multiple national and provincial projects underscore his growing research impact. He has secured competitive funding, participated in multidisciplinary teams, and supervised student-led work bridging sensor hardware and agricultural field deployment. His contributions have been recognized via institutional awards and research grants. Looking ahead, Dr. Sun aims to translate lab-scale gas-sensor innovations into robust agricultural-system platforms, contributing to precision agriculture and sustainable crop monitoring.

Profile : Orcid

Featured Publications

Sun, Y., Huang, J., & Zheng, Y. (2025, September 9). Study on the determination of pest attack time of tea plant by gas sensor. Annals of Applied Biology.

Sun, Y., & Zheng, Y. (2024, December 2). Application of MOS gas sensors for detecting mechanical damage of tea plants. Journal of Agricultural Engineering.

Sun, Y., & Zheng, Y. (2024, June). Prediction of tomato plants infected by fungal pathogens at different disease severities using E-nose and GC–MS. Journal of Plant Diseases and Protection.

Yu, W., & Sun, Y. (2024, March). A method for detecting gas applied in seed germination with varying concentration based on gas sensors. Measurement.

Sun, Y., & Zheng, Y. (2023, July 24). A method of gas sensor drift compensation based on intrinsic characteristics of response curve. Scientific Reports.

lifei wei | Sustainable Development | Best Researcher Award

Prof. lifei wei | Sustainable Development | Best Researcher Award

Hubei University | China

Professor Lifei Wei, a distinguished scholar at Hubei University, serves as Professor and Doctoral Supervisor with expertise in intelligent remote sensing image processing, agricultural remote sensing, ecological monitoring, and GIS big data analytics. He earned his advanced degrees in engineering and has established himself as a leading academic voice in the field of ecological remote sensing. With over 20 completed and ongoing research projects, his scientific output includes numerous high-impact journal publications indexed in SCI and Scopus. His research profile highlights an h-index of 22, more than 1,604 citations, and several influential works widely recognized in the international community. In addition to academic achievements, Prof. Wei is the Deputy Director of a Hubei Key Laboratory and holds the title of EU Senior Engineer, contributing significantly to interdisciplinary collaborations and consultancy projects in remote sensing applications. He has served as a reviewer for over 20 prestigious journals, including IEEE GRSL, ISPRS, and Remote Sensing, reflecting his standing in the scientific community. His contributions have been acknowledged through multiple awards, grants, and leadership positions. Dedicated to advancing ecological sustainability through technological innovations, Prof. Wei’s impactful career continues to shape remote sensing research and inspire future scholars globally.

Profile : Scopus

Featured Publications

Tang, J., Zhang, F., Chan, N. W., Li, Z., Ma, X., Wei, L., … & Tan, M. L. (2025). Water color remote sensing models: Inversion mechanisms, optimization, and challenges. Journal of Sea Research, 102622.

Feng, Z., Zhang, F., Cai, X., Liu, C., Wu, D., Zhu, Z., … Wei, L. (2025). Quantitative inversion of suspended particulate matter in Ebinur Lake, an arid region: Evidence based on radiative transfer mechanism model. Journal of Hydrology: Regional Studies, 61, 102714.

Zhou, J., Xu, H., Jim, C. Y., … Wei, L. (2025). Spatiotemporal dynamics of land use and landscape in coastal Zhejiang using multiple methods. iScience.

Regional variations in lake areas in China due to human and natural environmental factors since 1990. Ecological Indicators(2025).

Sentinel-2 and UAV Hyperspectral Image Data Fusion Used in Natural Disasters Cause Soil Pollution of the Distribution Map. Land Degradation & Development(2025).