Jing Fan | Environmental Science | Best Researcher Award

Assoc. Prof. Dr. Jing Fan l Environmental Science
| Best Researcher Award

Zhaotong University | China

Assoc. Prof. Dr. Jing Fan the research focuses on advancing understanding of geological and hydrological disaster mechanisms with particular emphasis on rock fracture behavior, structural evolution, and fluid migration in complex subsurface environments. Central themes include the analysis of structural plane connectivity in landslide-prone rock masses and the development of models to predict multi-factor disaster-pregnancy mechanisms in tectonically active regions such as the Jinsha River Basin. By integrating field investigations, laboratory experiments, and numerical simulations, the studies aim to reveal how geological structures influence water conduction, stability, and energy transfer within fractured rock systems. Recent work explores the coupling effects between mechanical stress, fluid flow, and seismic responses to improve risk assessment and early warning for geological disasters. A key contribution includes the development of a double-layered seismo-electric method for characterizing groundwater seepage fields in high-level waste disposal sites, offering a novel approach to detect and evaluate subsurface hydrogeological conditions. The research collectively contributes to disaster prevention, sustainable resource management, and environmental safety by providing quantitative frameworks and innovative methodologies to understand, model, and mitigate risks associated with complex geological processes.

Profile:Β  Orcid Β 

Featured Publications

Fan, J., Meiliya, Y., Wu, S., Du, G., & Chen, L. (2025, September). A double-layered seismo-electric method for characterizing groundwater seepage fields in high-level waste disposal. Water. Multidisciplinary Digital Publishing Institute. https://doi.org/10.3390/w17192848

Fan, J., Wang, R., & Hua, J. (2025, September 22). Ground sound recognition method for evolution of post-sliding fractures at the slope edge based on GIS and machine learning models. Proceedings of the 2025 Annual Conference of the Chinese Geographical Society.

Meiliya, Y., Fan, J., & Zhang, H. (2025, July 9). Legal regulation of algorithm discrimination and construction of digital fairness platform. Law.

Fan, J., Yusuupjiang, M., & Lv, X. (2025, June 14). Characteristics of permeable structure of Beishan granite and three-dimensional detection research by high-density electromagnetic method. Soil Science.

HongyanZhang | Remote Sensing | Best Researcher Award

HongyanZhang | Remote Sensing | Best Researcher Award

Dr.Hongyan Zhang , China University of Geosciences (Wuhan), China.

 🌍Dr.Hongyan Zhang, currently serving as the Dean of the School of Computer Science at China University of Geosciences (Wuhan), holds a Ph.D. in photogrammetry and remote sensing from Wuhan University. His academic journey began with a B.S. degree in geographic information systems, also from Wuhan University. Dr. Zhang spent over a decade as a researcher at the State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing at Wuhan University before assuming his current leadership role.

Publication Profile

Scopus

Publication Top Notes