100 citations as recorded by crossref.

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25. The Impact of Bamboo on Rainfall-Triggered Landslide Distribution at the Regional Scale: A Case Study from SE China Z. Guo et al. 10.3390/f15122223
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27. Monitoring and Mapping Vegetation Cover Changes in Arid and Semi-Arid Areas Using Remote Sensing Technology: A Review R. Almalki et al. 10.3390/rs14205143
28. Landslide Susceptibility Mapping Based on Multitemporal Remote Sensing Image Change Detection and Multiexponential Band Math X. Yu et al. 10.3390/su15032226
29. Modeling Landslide Susceptibility in Forest-Covered Areas in Lin’an, China, Using Logistical Regression, a Decision Tree, and Random Forests C. Chen et al. 10.3390/rs15184378
30. Application of a land use change model to guide regional planning and development in the south basin of the Urmia Lake, Iran L. Mohammadzadeh et al. 10.1007/s12665-021-09837-7
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35. Reducing Local Correlations Among Causal Factor Classifications as a Strategy to Improve Landslide Susceptibility Mapping T. Xiao et al. 10.3389/feart.2021.781674
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39. The influence of land use and land cover change on landslide susceptibility in the Lower Mekong River Basin C. Dandridge et al. 10.1007/s11069-022-05604-4
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41. Assessment of land degradation susceptibility within the Shaqlawa subregion of Northern Iraq-Kurdistan Region via synergistic application of remotely acquired datasets and advanced predictive models B. Abdi et al. 10.1007/s10661-024-13284-9
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44. Perceived Human-Induced Causes of Landslide in Chattogram Metropolitan Area in Bangladesh Z. Ahmed et al. 10.1007/s41748-022-00304-2
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48. Influence of human activity on landslide susceptibility development in the Three Gorges area Y. Li et al. 10.1007/s11069-020-04264-6
49. Soil erosion sensitivity and prediction for hilly areas of Hubei Province, China, using combined RUSLE and LSTM models Y. Ping et al. 10.1007/s11368-023-03668-8
50. GIS-based comparative study of Bayes network, Hoeffding tree and logistic model tree for landslide susceptibility modeling W. Chen & S. Zhang 10.1016/j.catena.2021.105344
51. Hazard assessment for regional typhoon-triggered landslides by using physically-based model – a case study from southeastern China Z. Guo et al. 10.1080/17499518.2023.2188465
52. Land use and land cover changes without invalid transitions: A case study in a landslide-affected area R. Quevedo et al. 10.1016/j.rsase.2024.101314
53. Development of landslide susceptibility maps of Tripura, India using GIS and analytical hierarchy process (AHP) N. Nath et al. 10.1007/s11356-023-31486-5
54. GIS-based landslide susceptibility zonation (LSZ) mapping of Darjeeling Himalaya, India using weights of evidence (WoE) model B. Mandal et al. 10.1007/s12517-023-11523-w
55. Deformation Mechanism of Large‐Scale Ancient Reservoir Landslides Driven by the Monitoring Data and Numerical Simulation H. Deng et al. 10.1002/gj.5130
56. Impact of Land Use/Land Cover Change on Landslide Susceptibility in Rangamati Municipality of Rangamati District, Bangladesh Y. Rabby et al. 10.3390/ijgi11020089
57. Explainable AI Integrated Feature Selection for Landslide Susceptibility Mapping Using TreeSHAP M. Inan & I. Rahman 10.1007/s42979-023-01960-5
58. Soil erodibility mapping for soil susceptibility in the upstream of Kelara Subwatershed in Jeneponto Regency A. Ahmad et al. 10.1088/1755-1315/986/1/012031
59. Assessment of temporal probability for rainfall-induced landslides based on nonstationary extreme value analysis H. Kim et al. 10.1016/j.enggeo.2021.106372
60. Applicability Assessment of a Spatiotemporal Geostatistical Fusion Model for Disaster Monitoring: Two Cases of Flood and Wildfire Y. Kim 10.3390/rs14246204
61. Implications of future land-use/cover pattern change on landslide susceptibility at a national level: A scenario-based analysis in Romania M. Jurchescu et al. 10.1016/j.catena.2023.107330
62. 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
63. Refined Landslide Susceptibility Mapping Considering Land Use Changes and InSAR Deformation: A Case Study of Yulin City, Guangxi P. Li et al. 10.3390/rs16163016
64. Advanced Machine Learning Models for Landslide Susceptibility Mapping in South Sikkim Himalayas, India M. Nawazuzzoha et al. 10.1002/gj.5234
65. Analysis of Changes in Landslide Susceptibility according to Land Use over 38 Years in Lixian County, China J. Liu et al. 10.3390/su131910858
66. Deep learning to assess the effects of land use/land cover and climate change on landslide susceptibility in the Tra Khuc river basin of Vietnam Q. Viet Du et al. 10.1080/10106049.2023.2172218
67. A GIS-Based Approach for Shallow Landslides Risk Assessment in the Giampilieri and Briga Catchments Areas (Sicily, Italy) G. Vegliante et al. 10.3390/geohazards5010011
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69. Landslide susceptibility assessment in Addi Arkay, Ethiopia using GIS, remote sensing, and AHP L. Mengstie et al. 10.1016/j.qsa.2024.100217
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72. Hybrid ensemble machine learning approaches for landslide susceptibility mapping using different sampling ratios at East Sikkim Himalayan, India S. Saha et al. 10.1016/j.asr.2021.05.018
73. Landslide susceptibility evaluation and interpretability analysis of typical loess areas based on deep learning L. Chang et al. 10.1016/j.nhres.2023.02.005
74. PRISMA vs. Landsat 9 in lithological mapping − a K-fold Cross-Validation implementation with Random Forest A. Shebl et al. 10.1016/j.ejrs.2024.07.003
75. Analysis of soil permeability and C-Organic in landslide events in Tangka Sub-Watershed S. Umam et al. 10.1088/1755-1315/886/1/012101
76. Modelling landslides in the Lesser Himalaya region using geospatial and numerical simulation techniques M. Islam & S. Chattoraj 10.1007/s12517-023-11541-8
77. Impact study for landslide contributing factors using a multi-criterion approach for landslide susceptibility M. Lourembam Chanu & B. Oinam 10.1007/s12517-021-08264-z
78. Landscape Pattern Change and Ecological Effect in a Typical Mountain–Oasis–Desert Region in the Northwest Region of China H. Meng et al. 10.3390/ijerph20054211
79. Evaluating the influence of road construction on landslide susceptibility in Saudi Arabia’s mountainous terrain: a Bayesian-optimised deep learning approach with attention mechanism and sensitivity analysis S. Alqadhi et al. 10.1007/s11356-023-31352-4
80. A New Approach to Spatial Landslide Susceptibility Prediction in Karst Mining Areas Based on Explainable Artificial Intelligence H. Fang et al. 10.3390/su15043094
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84. An Improved Gray Neural Network Method to Optimize Spatial and Temporal Characteristics Analysis of Land-Use Change Y. Yang et al. 10.1155/2022/2699031
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89. Landslide susceptibility evaluation in the Chemoga watershed, upper Blue Nile, Ethiopia H. Desalegn et al. 10.1007/s11069-022-05338-3
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