116 citations as recorded by crossref.

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20. A Comparative Assessment of Geostatistical, Machine Learning, and Hybrid Approaches for Mapping Topsoil Organic Carbon Content L. Chen et al. https://doi.org/10.3390/ijgi8040174
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23. GIS-based bivariate statistical modelling for earthquake-triggered landslides susceptibility mapping related to the 2008 Wenchuan earthquake, China C. Xu et al. https://doi.org/10.1144/qjegh2012-006
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33. Slope unit-based distribution analysis of landslides triggered by the April 20, 2013, Ms 7.0 Lushan earthquake S. Zhou et al. https://doi.org/10.1007/s12517-015-1835-2
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41. Landslide susceptibility assessment at Wadi Jawrah Basin, Jizan region, Saudi Arabia using two bivariate models in GIS A. Youssef et al. https://doi.org/10.1007/s12303-014-0065-z
42. Landslide detection and susceptibility mapping using LiDAR and an artificial neural network approach: a case study in the Cuyahoga Valley National Park, Ohio P. Gorsevski et al. https://doi.org/10.1007/s10346-015-0587-0
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45. Soft computing in assessment of earthquake-triggered landslide susceptibility C. Xu et al. https://doi.org/10.1007/s12665-016-5576-7
46. Investigation of Possible Landslide Precursor Activity in a Small-Scale Laboratory Experiment S. Krokidis et al. https://doi.org/10.4018/IJAGR.2018100105
47. Back analysis of landslide susceptibility zonation mapping for the 2005 Kashmir earthquake: an assessment of the reliability of susceptibility zoning maps U. Kamp et al. https://doi.org/10.1007/s11069-009-9451-7
48. Identification of concrete aggregates using K-means clustering and level set method L. Chen et al. https://doi.org/10.1016/j.istruc.2021.08.048
49. Impact of DEM-derived factors and analytical hierarchy process on landslide susceptibility mapping in the region of Rożnów Lake, Poland K. Pawluszek & A. Borkowski https://doi.org/10.1007/s11069-016-2725-y
50. Statistical landslide susceptibility assessment in a dynamic environment: A case study for Lanzhou City, Gansu Province, NW China J. Torizin et al. https://doi.org/10.1007/s11629-017-4717-0
51. GIS based landslide susceptibility mapping of Tevankarai Ar sub-watershed, Kodaikkanal, India using binary logistic regression analysis S. Ramani et al. https://doi.org/10.1007/s11629-011-2157-9
52. Rainfall-based criteria for assessing slump rate of mountainous highway slopes: A case study of slopes along Highway 18 in Alishan, Taiwan S. Chang et al. https://doi.org/10.1016/j.enggeo.2011.01.001
53. Regional Rainfall-Induced Landslide Risk Assessment Using Susceptibility Mapping and Unexpected High-Intensity Rainfall M. Anees et al. https://doi.org/10.1051/bioconf/202413104020
54. Evaluation of prediction capability, robustness, and sensitivity in non-linear landslide susceptibility models, Guantánamo, Cuba C. Melchiorre et al. https://doi.org/10.1016/j.cageo.2010.10.004
55. Use of GIS-based fuzzy logic relations and its cross application to produce landslide susceptibility maps in three test areas in Malaysia B. Pradhan https://doi.org/10.1007/s12665-010-0705-1
56. Assessing spatial distribution of Coffea arabica L. in Ethiopia's highlands using species distribution models and geospatial analysis methods B. Hailu et al. https://doi.org/10.1016/j.ecoinf.2017.10.001
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62. Random Cross-Validation Produces Biased Assessment of Machine Learning Performance in Regional Landslide Susceptibility Prediction C. Kumar et al. https://doi.org/10.3390/rs17020213
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67. Earthquake-induced landslides susceptibility assessment: A review of the state-of-the-art X. Shao & C. Xu https://doi.org/10.1016/j.nhres.2022.03.002
68. Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency ratio, logistic regression, and artificial neural network models V. Nourani et al. https://doi.org/10.1007/s11069-013-0932-3
69. A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape K. Were et al. https://doi.org/10.1016/j.ecolind.2014.12.028
70. Landslide susceptibility mapping using analytic hierarchy process and information value methods along a highway road section in Constantine, Algeria Y. Achour et al. https://doi.org/10.1007/s12517-017-2980-6
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73. Coseismic Stability Assessment of a Damaged Underground Ammunition Storage Chamber Through Ambient Vibration Recordings and Numerical Modelling F. Glueer et al. https://doi.org/10.3389/feart.2021.773155
74. Landslide susceptibility maps using different probabilistic and bivariate statistical models and comparison of their performance at Wadi Itwad Basin, Asir Region, Saudi Arabia A. Youssef et al. https://doi.org/10.1007/s10064-015-0734-9
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77. Cyclic Behaviour of Uniform Sand in Drained and Undrained Conditions at Low Confining Stress in Small-Scale Landslide Model V. Jagodnik & Ž. Arbanas https://doi.org/10.3390/su141912797
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