54 citations as recorded by crossref.

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20. The influence of DEM spatial resolution on landslide susceptibility mapping in the Baxie River basin, NW China Z. Chen et al. https://doi.org/10.1007/s11069-020-03899-9
21. Sustainable GIS Based-ANN's Solution for Landfill Suitability Analysis S. Abujayyab et al. https://doi.org/10.4028/www.scientific.net/AMM.802.537
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23. Failure probability assessment of landslides triggered by earthquakes and rainfall: a case study in Yadong County, Tibet, China L. Chen et al. https://doi.org/10.1038/s41598-020-73727-4
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26. GIS-Based Integration of Subjective and Objective Weighting Methods for Regional Landslides Susceptibility Mapping S. Zhou et al. https://doi.org/10.3390/su8040334
27. Coupling logistic model tree and random subspace to predict the landslide susceptibility areas with considering the uncertainty of environmental features X. Luo et al. https://doi.org/10.1038/s41598-019-51941-z
28. Surrogate Model-Based Prediction of Settlement in Foundation Over Cavity for Reliability Analysis K. Shubham et al. https://doi.org/10.1007/s40515-023-00329-8
29. Mapping the susceptibility of rainfall and earthquake triggered landslides along China–Nepal highways K. Gnyawali et al. https://doi.org/10.1007/s10064-019-01583-2
30. Estimating landslide susceptibility areas considering the uncertainty inherent in modeling methods H. Kim et al. https://doi.org/10.1007/s00477-018-1609-y
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35. Landslide susceptibility zonation using analytical hierarchy process and GIS for the Bojnurd region, northeast of Iran M. Mansouri Daneshvar https://doi.org/10.1007/s10346-013-0458-5
36. The spatial prediction of landslide susceptibility applying artificial neural network and logistic regression models: A case study of Inje, Korea L. Saro et al. https://doi.org/10.1515/geo-2016-0010
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38. Forecasting and validation of landslide susceptibility using an integration of frequency ratio and neuro-fuzzy models: a case study of Seorak mountain area in Korea M. Lee et al. https://doi.org/10.1007/s12665-015-4048-9
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45. A meta model for time-variant reliability analysis of unsaturated slope under rainfall A. Abdullah et al. https://doi.org/10.1108/MLAG-01-2025-0003
46. Spatial Non-Stationarity-Based Landslide Susceptibility Assessment Using PCAMGWR Model Y. Li et al. https://doi.org/10.3390/w14060881
47. Research on landslide hazard assessment in data-deficient areas: a case study of Tumen City, China X. Li et al. https://doi.org/10.1007/s11600-023-01057-w
48. Application of Chebyshev theorem to data preparation in landslide susceptibility mapping studies: an example from Yenice (Karabük, Turkey) region M. Ercanoglu et al. https://doi.org/10.1007/s11629-016-3880-z
49. Artificial neural network for landslide vulnerability mapping in Leitimur Peninsula Ambon Island F. Puturuhu et al. https://doi.org/10.1088/1755-1315/989/1/012013
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54. Perspective on secondary disasters: a literature review for future research K. Sahın et al. https://doi.org/10.1007/s10668-024-05577-3