37 citations as recorded by crossref.

1. Investigating the Effects of Landslides Inventory Completeness on Susceptibility Mapping and Frequency-Area Distributions: Case of Taounate Province, Northern Morocco R. Sahrane et al. 10.2139/ssrn.4144329
2. Landslide susceptibility mapping using GIS Matrix Method and Frequency Ratio, application in the marly context of Moulay Yacoub Region, Morocco I. Obda et al. 10.1051/bsgf/2023016
3. The SWADE model for landslide dating in time series of optical satellite imagery S. Fu et al. 10.1007/s10346-022-02012-4
4. Landslide probability mapping by considering fuzzy numerical risk factor (FNRF) and landscape change for road corridor of Uttarakhand, India U. Sur et al. 10.1007/s10668-021-01226-1
5. Probabilistic analysis of landslide hazard: considering the dependence between hazard components Q. Liu et al. 10.1080/10106049.2022.2089241
6. Separating Landslide Source and Runout Signatures with Topographic Attributes and Data Mining to Increase the Quality of Landslide Inventory J. Lai 10.3390/app10196652
7. Inventory of landslide relics in Zhenxiong County based on human-machine interactive visual interpretation, Yunnan Province, China Z. Xue et al. 10.3389/feart.2024.1518377
8. Risk Assessment and Control for Geohazards at Multiple Scales: An Insight from the West Han River of Gansu Province in China Z. Ye et al. 10.3390/w16131764
9. The 21 July 2020 Shaziba landslide in China: Results from multi-source satellite remote sensing W. Wang et al. 10.1016/j.rse.2023.113669
10. Improving Spatial Agreement in Machine Learning-Based Landslide Susceptibility Mapping M. Adnan et al. 10.3390/rs12203347
11. Using the Implementation Centric Evolving Climate Change Adaptation Process to bridge the gap between policy and action C. Wells et al. 10.3389/fclim.2023.1197027
12. A Comparison of Alternative GIS Data Model Methods for Landslide Susceptibility Mapping with XGBoost and SHAP Ş. Bediroğlu 10.31466/kfbd.1446997
13. Post-failure analysis of landslide blocking river using the two-phase double-point material point method: a case of western Hubei, China W. Du et al. 10.1007/s10064-023-03122-6
14. Probabilistic Analysis of the Landslide Hazard in Cold Regions: Considering Multiple Triggering Factors and Their Interdependence Q. Liu et al. 10.1007/s00024-022-03152-3
15. Suggestion for a new deterministic model coupled with machine learning techniques for landslide susceptibility mapping D. Min & H. Yoon 10.1038/s41598-021-86137-x
16. Methods of stabilization of mountain slopes near highways against landslides B. Salimova et al. 10.1051/e3sconf/202452501004
17. Preface: Advances in extreme value analysis and application to natural hazards Y. Hamdi et al. 10.5194/nhess-21-1461-2021
18. Landslide Hazard Prediction Based on UAV Remote Sensing and Discrete Element Model Simulation—Case from the Zhuangguoyu Landslide in Northern China G. Li et al. 10.3390/rs16203887
19. Energy-Efficient Data Routing in Landslide-Prone Area Using Wireless Sensor Networks With Drone K. Karunanithy et al. 10.1109/JIOT.2023.3301955
20. Multi-Scale Engineering Geological Zonation for Linear Projects in Mountainous Regions: A Case Study of National Highway 318 Chengdu-Shigatse Section Y. Li et al. 10.3390/rs15184619
21. Quantitative risk assessment of road exposed to landslide: A novel framework combining numerical modeling and complex network theory S. Zhou et al. 10.1016/j.enggeo.2024.107794
22. Investigating the effects of landslides inventory completeness on susceptibility mapping and frequency-area distributions: Case of Taounate province, Northern Morocco R. Sahrane et al. 10.1016/j.catena.2022.106737
23. Unraveling the drivers of intensified landslide regimes in Western Ghats, India A. Yunus et al. 10.1016/j.scitotenv.2021.145357
24. Landslides in Tijuana, Mexico: hazard assessment in an urban neighborhood A. Oliva González et al. 10.14483/22487638.17882
25. Double-index rainfall warning and probabilistic physically based model for fast-moving landslide hazard analysis in subtropical-typhoon area T. Zeng et al. 10.1007/s10346-023-02187-4
26. Economic Risk Assessment of Future Debris Flows by Machine Learning Method C. Qiu et al. 10.1007/s13753-024-00545-x
27. Total probabilistic measure for the potential risk of regional roads exposed to landslides Q. Liu et al. 10.1016/j.ress.2022.108822
28. Landslide risk of regional roads: Consider the road mileage of expected losses Q. Liu et al. 10.1016/j.trd.2023.103771
29. Landslide hazard spatiotemporal prediction based on data-driven models: Estimating where, when and how large landslide may be Z. Fang et al. 10.1016/j.jag.2023.103631
30. Enhanced dynamic landslide hazard mapping using MT-InSAR method in the Three Gorges Reservoir Area C. Zhou et al. 10.1007/s10346-021-01796-1
31. Semi-quantitative landslide risk assessment of district Muzaffarabad, northwestern Himalayas, Pakistan M. Riaz et al. 10.1007/s00477-023-02462-9
32. Assessment of landslide susceptibility, exposure, vulnerability, and risk in shahpur valley, eastern hindu kush G. Rahman et al. 10.3389/feart.2022.953627
33. Framework for risk assessment of economic loss from structures damaged by rainfall-induced landslides using machine learning H. Ishibashi 10.1080/17499518.2023.2288606
34. Rapid assessment of abrupt urban mega-gully and landslide events with structure-from-motion photogrammetric techniques validates link to water resources infrastructure failures in an urban periphery N. Gudino-Elizondo et al. 10.5194/nhess-22-523-2022
35. Probabilistic landslide hazard and indicator-based risk assessment in a data-scarce Indian Himalayan terrain S. Das et al. 10.1007/s10064-024-03861-0
36. A review of landslide acceptable risk and tolerable risk K. Sim et al. 10.1186/s40677-022-00205-6
37. Latent landslide hazard recognition in Fang County using synthetic aperture radar interferometry and geological data S. Wang et al. 10.3389/feart.2025.1531615