26 citations as recorded by crossref.

1. Urban extreme rainfall events: categorical skill of WRF model simulations for localized and non‐localized events G. Mohapatra et al. https://doi.org/10.1002/qj.3087
2. A case study of shallow landslides triggered by rainfall in Sanming, Fujian Province, China B. Yu et al. https://doi.org/10.1007/s12665-023-11118-4
3. Variability in the characteristics of extreme rainfall events triggering debris flows: a case study in the Chenyulan watershed, Taiwan J. Chen et al. https://doi.org/10.1007/s11069-020-03938-5
4. Catastrophic debris flows on July 10th 2013 along the Min River in areas seriously-hit by the Wenchuan earthquake Y. Ge et al. https://doi.org/10.1007/s11629-014-3100-7
5. Understanding and Predicting the November 24, 2022, Record‐Breaking Jeddah Extreme Rainfall Event H. Dasari et al. https://doi.org/10.1002/met.70100
6. Extreme-rainfall Data as a Basis for Landslide Warnings: a Case Study of a Road in Central Taiwan J. Lin et al. https://doi.org/10.1088/1755-1315/798/1/012018
7. Data Mining and Statistical Approaches in Debris-Flow Susceptibility Modelling Using Airborne LiDAR Data U. Lay et al. https://doi.org/10.3390/s19163451
8. Large-scale flash flood warning in China using deep learning G. Zhao et al. https://doi.org/10.1016/j.jhydrol.2021.127222
9. Comparing characteristics of rainfall- and earthquake-triggered landslides in the Upper Minjiang catchment, China S. Bai et al. https://doi.org/10.1016/j.enggeo.2020.105518
10. Risk Governance and the Prevention of Sediment Disasters After the 2024 Mw 7.3 Hualien Earthquake in Eastern Taiwan —A Transdisciplinary Approach Case Study T. Tsao et al. https://doi.org/10.20965/jdr.2026.p0443
11. Extracting more features from rainfall data to analyze the conditions triggering debris flows Y. Zhao et al. https://doi.org/10.1007/s10346-022-01893-9
12. Event-based rainfall warning regression model for landslide and debris flow issuing C. Chen https://doi.org/10.1007/s12665-020-8877-9
13. Atmospheric circulation patterns, cloud-to-ground lightning, and locally intense convective rainfall associated with debris flow initiation in the Dolomite Alps of northeastern Italy S. Underwood et al. https://doi.org/10.5194/nhess-16-509-2016
14. Estimating the daily rainfall thresholds of regional debris flows in the Bailong River Basin, China Y. Zhao et al. https://doi.org/10.1007/s10064-023-03068-9
15. AI-based rainfall prediction model for debris flows Y. Zhao et al. https://doi.org/10.1016/j.enggeo.2021.106456
16. Evaluation of Rainfall-Triggered Debris Flows under the Impact of Extreme Events: A Chenyulan Watershed Case Study, Taiwan J. Chen & W. Huang https://doi.org/10.3390/w13162201
17. The modified theoretical model for debris flows predication with multiple rainfall characteristic parameters S. Cai et al. https://doi.org/10.1038/s41598-024-84199-1
18. Topographical and rainfall factors determining the formation of gully-type debris flows caused by shallow landslides in the Dayi area, Guizhou Province, China B. Yu et al. https://doi.org/10.1007/s12665-016-5243-z
19. Study on Debris Flow Characteristics and Probability After Extreme Rainfall: Case Study on Chenyulan Watershed, Taiwan, China S. LUO et al. https://doi.org/10.3724/j.gyjzG22120217
20. Rainfall and runoff time-series trend analysis using LSTM recurrent neural network and wavelet neural network with satellite-based meteorological data: case study of Nzoia hydrologic basin Y. Ouma et al. https://doi.org/10.1007/s40747-021-00365-2
21. An analysis of meteorological services under extreme weather conditions based on a Bayesian decision-support model: a case study of the thunderstorms in Beijing on July 21, 2012 H. Hu et al. https://doi.org/10.1007/s11069-015-1766-y
22. Grain-Size Analysis of Debris Flow Alluvial Fans in Panxi Area along Jinsha River, China W. Zhang et al. https://doi.org/10.3390/su71115219
23. A new rainfall Intensity−Duration threshold curve for debris flows using comprehensive rainfall intensity Y. Zhao et al. https://doi.org/10.1016/j.enggeo.2025.107949
24. Investigation of the 2019 Wenchuan County debris flow disaster suggests nonuniform spatial and temporal post-seismic debris flow evolution patterns X. Zhang et al. https://doi.org/10.1007/s10346-022-01896-6
25. Characterisation of transport resilience and measures to enhance resilience in the recovery after the 2016 Kaikōura earthquake D. Mason & P. Brabhaharan https://doi.org/10.5459/bnzsee.54.2.69-81
26. Design and performance of a novel multi-function debris flow mitigation system in Wenjia Gully, Sichuan F. Liu et al. https://doi.org/10.1007/s10346-017-0849-0