Ningsheng Chen | Soil Science | Research Excellence Award

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Prof. Ningsheng Chen | Soil Science | Research Excellence Award

Yangtze University | China 

Ningsheng Chen is a second-level Professor and PhD supervisor recognized for his influential contributions to geological engineering, with a strong focus on debris flows, landslides, and mountain flood disasters. His research portfolio includes 210 publications, of which 151 are indexed documents supported by 2,098 citations from 1,739 citing records, reflecting an h-index of 24. He has authored five monographs and secured 25 patents and software copyrights, demonstrating a commitment to advancing both scientific understanding and practical innovation in hazard mitigation. His work has earned multiple national and provincial science and technology awards, and several of his research outputs have been acknowledged as major scientific advancements in ecological and environmental fields. As a Distinguished Talent of Changjiang University and a Kunlun Outstanding Talent, he has provided national-level expertise through 35 advisory reports and continues to lead significant scientific initiatives, including international cooperation programs and major natural disaster research projects. In addition to his research leadership, he contributes to academic governance as Chairman of the Mountain Branch of the Geographical Society of China and as a member of the National Standards Committee, reinforcing his role as a key figure in promoting scientific progress and disaster-risk reduction in mountainous regions.

Profiles : Scopus | Orcid 

Featured Publications

Wu, Z., Chen, N., Qing, L., Chen, X., Huang, N., & Zhang, Y. (2025). Typhoon–terrain synergy: A critical mechanism driving high-frequency flood disasters in the Beijing region. Water,

Wang, Z., Wen, T., Chen, N., & Tang, R. (2025). Assessment of landslide susceptibility based on the two-layer stacking model—A case study of Jiacha County, China. Remote Sensing,

Hou, R., Wu, M., Chen, N., Wu, K., Chen, X., She, D., Huang, N., & Xiao, M. (2025). Human settlements lie on paleolandslide deposits: Risk, evidence and formation of an ancient river-blocking landslide in the Jinsha River tributary, SE Tibetan Plateau. CATENA,

Peng, T., Chen, N., Hu, G., Tian, S., Ni, H., & Huang, L. (2025). New rulers for estimating the magnitude of catastrophic debris flows. Natural Hazards.

Han, Z., Xie, W., Zeng, C., Li, Y., Chen, G., Chen, N., Hu, G., & Wang, W. (2024). Modelling the temporal-varied nonlinear velocity profile of debris flow using a stratification aggregation algorithm in 3D-HBP-SPH framework. Journal of Mountain Science.

Zhong, Z., Chen, N., Hu, G., Han, Z., & Ni, H. (2024). High-tide hysteresis effect of low-frequency debris flow after earthquake: A case study of Xifan Gully. Bulletin of Engineering Geology and the Environment.

Yanling Li | Soil | Interdisciplinary Soil Research Award

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Dr. Yanling Li | Soil | Interdisciplinary Soil Research Award

Shandong Agricultural University | China 

Dr. Yanling Li is a distinguished scholar whose work integrates agricultural remote sensing, ecological monitoring, and soil–plant–atmosphere interactions to advance sustainable land management. Her research focuses on refining multi-source remote sensing techniques to monitor crop growth, evaluate vegetation dynamics, and assess soil nutrient patterns across diverse landscapes. She has contributed substantially to understanding how soil carbon–nitrogen cycling, land-use changes, and climatic variability influence agricultural productivity and ecological stability. Through innovative analytical frameworks, she has improved the accuracy of yield estimation models and enhanced methods for decoupling natural and human-driven ecological signals. Her work also includes designing practical remote sensing tools and developing teaching innovations that strengthen education in photogrammetry and digital mapping. Dr. Li’s research has supported decision-making in precision agriculture, soil health assessment, and climate-adaptive farming strategies. She collaborates widely across academic, governmental, and industry platforms to translate scientific insights into field-ready applications, ensuring her research benefits both environmental conservation and agricultural development. Her contributions continue to shape modern approaches to remote sensing–based ecological assessment, reflecting a commitment to advancing soil science, sustainable agriculture, and data-driven ecosystem management.

Profile : Orcid

Featured Publications

Wang, X., Li, Y., Fang, S., Dong, C., & Sun, L. (2025). Decoupling anthropogenic and climate impacts on vegetation dynamics in China’s Huaihe River Basin using geodetector. Scientific Reports.

Wang, X., Fang, S., Li, Y., Dong, C., & Sun, L. (2024). Spatiotemporal variability of vegetation NDVI in the Huaihe River Basin, China: Driving force analysis and ecological implications. Preprints.

Lu, Q. Y., Li, Y. L., Yang, Y. T., & Liu, F. J. (2023). Winter wheat identification and area extraction based on hyperspectral/multispectral image fusion. In Proceedings of the 2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics).

Sun, J., & Li, Y.-L. (2022). Remote sensing monitoring of afforestation and its interaction with climate in Saihanba Mechanical Forest Farm in recent 45 years. In Proceedings of the 6th International Conference on Computer Science and Application Engineering.