Author

Jibiao Hu

Institution: China University of Mining and Technology - Beijing

Observed institutions: Henan Polytechnic University, China University of Mining and Technology - Beijing

OpenAlex ID: A5113051908

Prediction Method for Dynamic Subsidence Basin in Mining Area Based on SBAS-InSAR and Time Function

2024 · Jibiao Hu, Yueguan Yan, et al. · Remote Sensing · 19

Temporal and Spatial Variations in the Normalized Difference Vegetation Index in Shanxi Section of the Yellow River Basin and Coal Mines and Their Response to Climatic Factors

2023 · Huabin Chai, Pengju Guan, et al. · Applied Sciences · 11

Application of a Variable Weight Time Function Combined Model in Surface Subsidence Prediction in Goaf Area: A Case Study in China

2024 · Huabin Chai, Hui Xu, et al. · Applied Sciences · 6

Monitoring Analysis of Urban Subsidence in Northern Henan Province Based on TS-InSAR Technology

2024 · Huabin Chai, Yahui Ding, et al. · Journal of Sensors · 4

A novel fine-scale identification method for coal mining subsidence basin based on TS-InSAR and subsidence curve characteristics

2026 · Shubo Huang, Yifan Zhang, et al. · Scientific Reports · 1

A UAV–TLS Point-Cloud Fusion Framework for Three-Dimensional Characterization of Mining-Induced Surface Cracks

2026 · Weiwei Zhou, Youfeng Zou, et al. · Remote Sensing

Spatiotemporal prediction of mining-induced surface subsidence using integrated D-InSAR and boltzmann time function models

2026 · Weiwei Zhou, Youfeng Zou, et al. · PLoS ONE

A novel single-LOS TS-InSAR framework for large-gradient mining subsidence monitoring

2026 · Jibiao Hu, Yueguan Yan, et al. · Advances in Space Research

Works count: 8

Citation count: 41

H-index: 4

I10-index: 2