22 citations as recorded by crossref.

1. Combining data-driven models to assess susceptibility of shallow slides failure and run-out R. Melo et al. 10.1007/s10346-019-01235-2
2. Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan J. Dou et al. 10.1007/s10346-019-01286-5
3. Debris flow run-out simulation and analysis using a dynamic model R. Melo et al. 10.5194/nhess-18-555-2018
4. An integral assessment of landslide dams generated by the occurrence of rainfall-induced landslide and debris flow hazard chain L. Ortiz-Giraldo et al. 10.3389/feart.2023.1157881
5. GIS-based prediction method of shallow landslides induced by heavy rainfall in large mountainous areas X. Luo et al. 10.1007/s11629-023-8535-2
6. Shallow landslides predisposing and triggering factors in developing a regional early warning system D. Tiranti et al. 10.1007/s10346-018-1096-8
7. Applying a Series and Parallel Model and a Bayesian Networks Model to Produce Disaster Chain Susceptibility Maps in the Changbai Mountain area, China L. Han et al. 10.3390/w11102144
8. Hybrid method for rainfall-induced regional landslide susceptibility mapping S. Wu et al. 10.1007/s00477-024-02753-9
9. Comparative study on landslide susceptibility assessment of different models: a case study of alpine mountainous region in Xinjiang J. Zhang et al. 10.1007/s10064-025-04105-5
10. Understanding Constraints and Triggering Factors of Landslides: Regional and Local Perspectives on a Drainage Basin C. Jesus et al. 10.3390/geosciences8010002
11. Modelling landslide hazards under global changes: the case of a Pyrenean valley S. Bernardie et al. 10.5194/nhess-21-147-2021
12. Nationwide Susceptibility Mapping of Landslides in Kenya Using the Fuzzy Analytic Hierarchy Process Model S. Zhou et al. 10.3390/land9120535
13. Physically-based modelling of shallow slides susceptibility at the basin scale using proxy soil thickness and geotechnical data R. Melo et al. 10.1016/j.catena.2025.108788
14. GIS-Based Random Forest Weight for Rainfall-Induced Landslide Susceptibility Assessment at a Humid Region in Southern China P. Wang et al. 10.3390/w10081019
15. Comparison of hybrid data-driven and physical models for landslide susceptibility mapping at regional scales X. Wei et al. 10.1007/s11440-023-01841-4
16. Landslide susceptibility assessment in the rocky coast subsystem of Essaouira, Morocco A. Khouz et al. 10.5194/nhess-22-3793-2022
17. An artificial intelligence-based approach to predicting seismic hillslope stability under extreme rainfall events in the vicinity of Wolsong nuclear power plant, South Korea A. Pradhan & Y. Kim 10.1007/s10064-021-02138-0
18. Application of hybrid machine learning model for flood hazard zoning assessments J. Wang et al. 10.1007/s00477-022-02301-3
19. Improving pixel-based regional landslide susceptibility mapping X. Wei et al. 10.1016/j.gsf.2024.101782
20. Landslide susceptibility assessment using different rainfall event-based landslide inventories: advantages and limitations S. Oliveira et al. 10.1007/s11069-024-06691-1
21. State-of-the-art: parametrization of hydrological and mechanical reinforcement effects of vegetation in slope stability models for shallow landslides A. DiBiagio et al. 10.1007/s10346-024-02300-1
22. Probabilistic Cascade Modeling for Enhanced Flood and Landslide Hazard Assessment: Integrating Multi-Model Approaches in the La Liboriana River Basin J. Vega et al. 10.3390/w16172404