12 citations as recorded by crossref.

1. The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection From Multisource Satellite Imagery O. Ghorbanzadeh et al. 10.1109/JSTARS.2022.3220845
2. Enhancing landslide susceptibility mapping incorporating landslide typology via stacking ensemble machine learning in Three Gorges Reservoir, China L. Yu et al. 10.1016/j.gsf.2024.101802
3. An integrated hydrodynamic model for runoff-generated debris flows with novel formulation of bed erosion and deposition X. Xia et al. 10.1016/j.enggeo.2023.107310
4. Traditional and modified Newmark displacement methods after the 2022 Ms 6.8 Luding earthquake (Eastern Tibetan Plateau) D. Djukem et al. 10.1007/s10346-023-02194-5
5. LandslideNet: A landslide semantic segmentation network based on single-temporal optical remote sensing images X. Zhu et al. 10.1016/j.asr.2024.07.038
6. Numerical simulation of rainfall-induced debris flow in the Hongchun gully based on the coupling of the LHT model and the Pudasaini model H. Yin et al. 10.1007/s11069-023-05956-5
7. Combination of statistical and conceptual approaches for debris-flow susceptibility modelling at a regional scale, British Columbia, Canada T. Bornaetxea et al. 10.1016/j.catena.2025.109044
8. A numerical model for cascading glacier mass flow analysis (GMFA): Erosion-deposition dynamics, phase changes, and multi-hazard chain transformations R. Jiang et al. 10.1016/j.jrmge.2025.02.010
9. National-scale assessment of railways exposure to rapid flow-like landslides I. Marchesini et al. 10.1016/j.enggeo.2024.107474
10. Perspective on secondary disasters: a literature review for future research K. Sahın et al. 10.1007/s10668-024-05577-3
11. Multiscale Feature Modeling and Interpretability Analysis of the SHAP Method for Predicting the Lifespan of Landslide Dams Z. Huang et al. 10.3390/app15052305
12. Non-Monotonic Relationships between Return Periods of Precipitation Surface Hazard Intensity B. van den Bout et al. 10.3390/w14091348