9 citations as recorded by crossref.

1. Spatiotemporal characteristics of rainfall process in a small mountainous catchment J. Cheng et al. https://doi.org/10.1007/s11629-024-8902-7
2. A probabilistic modeling framework for data-driven forecasting of rainfall-induced debris flows S. Zhang et al. https://doi.org/10.1016/j.jhydrol.2026.135772
3. A sediment influx-outflux-accommodation composite index-based method for estimating sediment storage in debris flow channels X. Lei et al. https://doi.org/10.1007/s11629-024-9286-4
4. The nocturnal occurrence of debris flows: evidence from western China Q. Chen et al. https://doi.org/10.1038/s44304-025-00114-2
5. A Physics-Guided Deep Learning Method for Temporal InSAR Surface Deformation Monitoring and Prediction: A Case Study of Lishi District, Shanxi Province, China B. Zhang et al. https://doi.org/10.3390/rs18101553
6. Improving predictions of rainfall-triggered debris flows using area-based probability intensity curves R. Guthrie et al. https://doi.org/10.1007/s10346-026-02755-4
7. A long-term dataset of debris-flow and hydrometeorological observations from 1961 to 2024 in Jiangjia Ravine, China L. Wei et al. https://doi.org/10.5194/essd-17-7331-2025
8. Numerical Simulations of a Permeability Test on Non-Cohesive Soil Under an Increasing Water Level W. Zhang et al. https://doi.org/10.3390/w16202992
9. A field survey of water-sediment impacts on composite disaster of the “7·20” flash flood and debris flow in Hanyuan County, Southwest China Z. Xu & X. Wang https://doi.org/10.1007/s11629-024-9280-x