11 citations as recorded by crossref.

1. Evaluating flood potential in the Mahanadi River Basin, India, using Gravity Recovery and Climate Experiment (GRACE) data and topographic flood susceptibility index under non-stationary framework S. Bhere & M. Reddy 10.1007/s11356-024-32105-7
2. Assessing and attributing flood potential in Brazil using GPS 3D deformation X. Yang et al. 10.1016/j.rse.2024.114535
3. The Flow of the Yangtze River Inverted From a Continuous Global Navigation Satellite System Station R. Zou et al. 10.1029/2023GL104481
4. Spatiotemporal Variability of Current and Future Sub‐Daily Rainfall in Japan Using State‐Of‐The‐Art High‐Quality Data Sets W. Zhao et al. 10.1029/2022WR034305
5. High-resolution groundwater storage anomalies in the Middle and Lower Yangtze River Basin of China using machine learning fusion of in-situ wells, satellite gravity and hydrological model L. Hu et al. 10.1016/j.jenvman.2025.124322
6. Seasonal catchment memory of high mountain rivers in the Tibetan Plateau H. Gu et al. 10.1038/s41467-023-38966-9
7. Deep learning-aided temporal downscaling of GRACE-derived terrestrial water storage anomalies across the Contiguous United States M. Uz et al. 10.1016/j.jhydrol.2024.132194
8. Applying Reconstructed Daily Water Storage and Modified Wetness Index to Flood Monitoring: A Case Study in the Yangtze River Basin C. Xiao et al. 10.3390/rs15123192
9. Exploring potential drivers of terrestrial water storage anomaly trends in the Yangtze River Basin (2002–2019) J. Wang et al. 10.1016/j.ejrh.2025.102264
10. Multi-reservoirs joint flood control scheduling using a two-layer hedging robust optimization method under uncertain inflows X. Yu et al. 10.1016/j.ejrh.2025.102244
11. Exploring the utility of GRACE measurements for characterizing karst systems at a continental scale C. Orazulike et al. 10.1016/j.jhydrol.2024.132578