18 citations as recorded by crossref.

1. Assessing the informativeness of a coupled surface–subsurface watershed model for understanding debris flow: a hydrological perspective H. Wang et al. https://doi.org/10.1080/02626667.2024.2362303
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3. Acid rain: an unsuspected factor predisposing Panzhihua airport landslide, China K. Li et al. https://doi.org/10.1007/s11356-021-13308-8
4. Statistical Analysis of the Potential of Landslides Induced by Combination between Rainfall and Earthquakes C. Tseng et al. https://doi.org/10.3390/w14223691
5. Application of fuzzy recognition method in mineral resources allocation C. Li https://doi.org/10.1016/j.suscom.2021.100509
6. Assessment of Rainfall-Induced Landslide Distribution Based on Land Disturbance in Southern Taiwan C. Tseng et al. https://doi.org/10.3390/ijgi10040209
7. Seismic and geologic controls on spatial clustering of landslides in three large earthquakes C. Rault et al. https://doi.org/10.5194/esurf-7-829-2019
8. An integrative approach of the physical-based stability index mapping with the maximum entropy stochastic model for risk analysis of mass movements H. Memarian et al. https://doi.org/10.1007/s10668-022-02165-1
9. Application of analytic hierarchy process in landslide susceptibility mapping at regional scale in GIS environment S. Panchal & A. Shrivastava https://doi.org/10.1080/09720510.2020.1724620
10. Preface: Landslide–transport network interactions F. Taylor et al. https://doi.org/10.5194/nhess-20-2585-2020
11. An Integration of Logistic Regression and Geographic Information System for Development of a Landslide Hazard Index to Land Use: A Case Study in Pingtung County in Southern Taiwan C. Tseng et al. https://doi.org/10.3390/w16071038
12. Rainfall-Induced Landslide Susceptibility Using a Rainfall–Runoff Model and Logistic Regression H. Chan et al. https://doi.org/10.3390/w10101354
13. New model of hazard potential index based on slope land disturbance and regional carrying capacity: a case study of Namaxia District in Kaohsiung City, Taiwan Y. Chen et al. https://doi.org/10.1007/s12665-021-09736-x
14. Topographic Control on Ground Motions and Landslides From the 2015 Gorkha Earthquake A. Dunham et al. https://doi.org/10.1029/2022GL098582
15. From clustered landslides to road network disruption: evidence from Typhoon Wipha (2025) in Ningde, Fujian, China T. Ren et al. https://doi.org/10.1007/s10346-026-02761-6
16. Directional effects of typhoons on landslide susceptibility: an ensemble machine learning approach K. Nguyen et al. https://doi.org/10.1186/s40562-026-00481-2
17. Spatiotemporal Landslide Susceptibility Mapping Incorporating the Effects of Heavy Rainfall: A Case Study of the Heavy Rainfall in August 2021 in Kitakyushu, Fukuoka, Japan J. Li et al. https://doi.org/10.3390/w13223312
18. Quantitative Risk Assessment of Road Networks Subject to Natural Hazards: A State-of-the-Art Review A. Roy et al. https://doi.org/10.1061/JSDCCC.SCENG-1812