113 citations as recorded by crossref.

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31. Comparison and evaluation of landslide susceptibility maps obtained from weight of evidence, logistic regression, and artificial neural network models C. Polykretis & C. Chalkias 10.1007/s11069-018-3299-7
32. Slope unit-based distribution analysis of landslides triggered by the April 20, 2013, Ms 7.0 Lushan earthquake S. Zhou et al. 10.1007/s12517-015-1835-2
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37. Manifestation of an advanced fuzzy logic model coupled with Geo-information techniques to landslide susceptibility mapping and their comparison with logistic regression modelling B. Pradhan 10.1007/s10651-010-0147-7
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40. Landslide susceptibility assessment at Wadi Jawrah Basin, Jizan region, Saudi Arabia using two bivariate models in GIS A. Youssef et al. 10.1007/s12303-014-0065-z
41. 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. 10.1007/s10346-015-0587-0
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45. Investigation of Possible Landslide Precursor Activity in a Small-Scale Laboratory Experiment S. Krokidis et al. 10.4018/IJAGR.2018100105
46. 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. 10.1007/s11069-009-9451-7
47. Identification of concrete aggregates using K-means clustering and level set method L. Chen et al. 10.1016/j.istruc.2021.08.048
48. Impact of DEM-derived factors and analytical hierarchy process on landslide susceptibility mapping in the region of Rożnów Lake, Poland K. Pawluszek & A. Borkowski 10.1007/s11069-016-2725-y
49. Statistical landslide susceptibility assessment in a dynamic environment: A case study for Lanzhou City, Gansu Province, NW China J. Torizin et al. 10.1007/s11629-017-4717-0
50. GIS based landslide susceptibility mapping of Tevankarai Ar sub-watershed, Kodaikkanal, India using binary logistic regression analysis S. Ramani et al. 10.1007/s11629-011-2157-9
51. 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. 10.1016/j.enggeo.2011.01.001
52. Regional Rainfall-Induced Landslide Risk Assessment Using Susceptibility Mapping and Unexpected High-Intensity Rainfall M. Anees et al. 10.1051/bioconf/202413104020
53. Evaluation of prediction capability, robustness, and sensitivity in non-linear landslide susceptibility models, Guantánamo, Cuba C. Melchiorre et al. 10.1016/j.cageo.2010.10.004
54. Use of GIS-based fuzzy logic relations and its cross application to produce landslide susceptibility maps in three test areas in Malaysia B. Pradhan 10.1007/s12665-010-0705-1
55. Assessing spatial distribution of Coffea arabica L. in Ethiopia's highlands using species distribution models and geospatial analysis methods B. Hailu et al. 10.1016/j.ecoinf.2017.10.001
56. Medium-scale hazard mapping for shallow landslide initiation: the Buyukkoy catchment area (Cayeli, Rize, Turkey) H. Nefeslioglu et al. 10.1007/s10346-011-0267-7
57. OR models with stochastic components in disaster operations management: A literature survey M. Hoyos et al. 10.1016/j.cie.2014.11.025
58. Landslide susceptibility analysis and its verification using likelihood ratio, logistic regression, and artificial neural network models: case study of Youngin, Korea S. Lee et al. 10.1007/s10346-007-0088-x
59. Review of study on post-earthquake stability of soil slopes J. Chen et al. 10.1088/1755-1315/304/4/042007
60. Mechanism of Root Reinforcement Involved in Rainfall-Induced Shallow Landslide Mitigation: A Review D. Mahima et al. 10.1007/s40098-023-00836-y
61. Random Cross-Validation Produces Biased Assessment of Machine Learning Performance in Regional Landslide Susceptibility Prediction C. Kumar et al. 10.3390/rs17020213
62. Development of a statistics-based nowcasting model for earthquake-triggered landslides in Taiwan R. Chuang et al. 10.1016/j.enggeo.2021.106177
63. Selection of optimal pixel resolution for landslide susceptibility analysis within the Bukit Antarabangsa, Kuala Lumpur, by using image processing and multivariate statistical tools I. Quraishi et al. 10.1186/s13640-017-0169-2
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67. 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. 10.1007/s11069-013-0932-3
68. 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. 10.1016/j.ecolind.2014.12.028
69. Landslide susceptibility mapping using analytic hierarchy process and information value methods along a highway road section in Constantine, Algeria Y. Achour et al. 10.1007/s12517-017-2980-6
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71. Settlements and slides: a large landslide case study from the Central Cordillera of the Philippines G. Hearn & J. Roy Hart 10.1144/qjegh2019-050
72. Coseismic Stability Assessment of a Damaged Underground Ammunition Storage Chamber Through Ambient Vibration Recordings and Numerical Modelling F. Glueer et al. 10.3389/feart.2021.773155
73. 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. 10.1007/s10064-015-0734-9
74. Landslide susceptibility mapping of Tevankarai Ar sub-watershed, Kodaikkanal taluk, India, using weighted similar choice fuzzy model E. Sujatha & V. Rajamanickam 10.1007/s11069-011-9763-2
75. GIS-based landslide susceptibility mapping with logistic regression, analytical hierarchy process, and combined fuzzy and support vector machine methods: a case study from Wolong Giant Panda Natural Reserve, China Q. Meng et al. 10.1007/s10064-015-0786-x
76. Cyclic Behaviour of Uniform Sand in Drained and Undrained Conditions at Low Confining Stress in Small-Scale Landslide Model V. Jagodnik & Ž. Arbanas 10.3390/su141912797
77. Downscaling Satellite Precipitation Estimates With Multiple Linear Regression, Artificial Neural Networks, and Spline Interpolation Techniques E. Sharifi et al. 10.1029/2018JD028795
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81. An integrative approach for regional landslide susceptibility assessment using weight of evidence method: a case study of Yom River Basin, Phrae Province, Northern Thailand S. Teerarungsigul et al. 10.1007/s10346-015-0659-1
82. Landslide susceptibility mapping along PLUS expressways in Malaysia using probabilistic based model in GIS N. Yusof & B. Pradhan 10.1088/1755-1315/20/1/012031
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