31 citations as recorded by crossref.

1. An updating of landslide susceptibility prediction from the perspective of space and time Z. Chang et al.
2. Quantitative risk assessment for rainfall-induced landslides of transmission line towers: the case of Chongqing national transmission protection regions B. Jin et al.
3. The use of machine learning techniques for a predictive model of debris flows triggered by short intense rainfall M. Ponziani et al.
4. Dynamic process, influence, and triggering mechanism of slope remodelling by landslide clusters in the South Jingyang Tableland, China S. Hu et al.
5. Automatic recognition of slide mass and inversion analysis of landslide based on discrete element method Y. Tang et al.
6. Development of a data-driven model for spatial and temporal shallow landslide probability of occurrence at catchment scale M. Bordoni et al.
7. Towards a holistic assessment of landslide susceptibility models: insights from the Central Eastern Alps M. Schlögl et al.
8. Rock slope landslide early-warning level assessment using normal distribution theory and path-dependent effect X. Xu et al.
9. Ensemble learning for landslide susceptibility mapping: a review of machine learning and hybrid approaches H. Jiang et al.
10. Multi-event assessment of typhoon-triggered landslide susceptibility in the Philippines J. Jones et al.
11. The future of landslides’ past—a framework for assessing consecutive landsliding systems A. Temme et al.
12. Spatio-temporal forecasting of landslide hazard in Chongqing National Transmission Protection Regions, China B. Jin et al.
13. Landslide size matters: A new data-driven, spatial prototype L. Lombardo et al.
14. Characteristics of landslide path dependency revealed through multiple resolution landslide inventories in the Nepal Himalaya S. Roberts et al.
15. Data-driven landslide forecasting: Methods, data completeness, and real-time warning T. Xiao & L. Zhang
16. Enhancing post-seismic landslide susceptibility modeling in China through a time-variant approach: a spatio-temporal analysis X. Guo et al.
17. Post-earthquake spatiotemporal evolution characteristics of typical landslide sources in the Jiuzhaigou meizoseismal area C. Huang et al.
18. Space-time variability modelling of landslide susceptibility for strategic infrastructure under changing climate scenarios: The case study of the mega clean energy transmission network (Yangtze River Basin, China) B. Jin et al.
19. Machine Learning-Based Evaluation of Susceptibility to Geological Hazards in the Hengduan Mountains Region, China J. Zhao et al.
20. The evaluation of landslide comprehensive susceptibility based on stacking ensemble learning fusion model and SBAS-InSAR: a case study in lexi highway C. Li et al.
21. Space–time landslide hazard modeling via Ensemble Neural Networks A. Dahal et al.
22. Landslide spatial prediction using cluster analysis Z. Zhao et al.
23. Variability of landslide susceptibility models under different ground motion scenarios in Rasuwa district, Nepal M. Thapa et al.
24. Spatiotemporal clustering for landslide hazard prediction revealed by the path-dependent perspective B. Jin et al.
25. Rock slope landslide prediction with an improved inverse velocity model using radar monitoring data X. Xu et al.
26. Can global rainfall estimates (satellite and reanalysis) aid landslide hindcasting? U. Ozturk et al.
27. Modelos de autorregresión espacial para la evaluación de la susceptibilidad por movimientos en masa E. Aristizábal
28. Geohazards explained 10 U. Ozturk
29. Workflow for Developing land Slide Hazard Maps for Shallow Colluvial Soils N. O’Leary et al.
30. Temporal Variations in Landslide Distributions Following Extreme Events: Implications for Landslide Susceptibility Modeling J. Jones et al.
31. Evaluating the Response of Hydrological Stress Indices Using the CHyM Model over a Wide Area in Central Italy A. Lombardi et al.