102 citations as recorded by crossref.

1. Landslide Susceptibility Assessment of Heraklion Prefecture in Crete, Greece S. Adam et al.
2. An assessment of multivariate and bivariate approaches in landslide susceptibility mapping: a case study of Duzkoy district T. Kavzoglu et al.
3. Optimizing landslide susceptibility zonation: Effects of DEM spatial resolution and slope unit delineation on logistic regression models R. Schlögel et al.
4. Riverside Landslide Susceptibility Overview: Leveraging Artificial Neural Networks and Machine Learning in Accordance with the United Nations (UN) Sustainable Development Goals Y. Nanehkaran et al.
5. A new approach to use AHP in landslide susceptibility mapping: a case study at Yenice (Karabuk, NW Turkey) G. Hasekioğulları & M. Ercanoglu
6. A comparison of landslide susceptibility mapping of the eastern part of the North Anatolian Fault Zone (Turkey) by likelihood-frequency ratio and analytic hierarchy process methods G. Demir et al.
7. Development of a Coupled Spatiotemporal Algal Bloom Model for Coastal Areas: A Remote Sensing and Data Mining-Based Approach R. Elkadiri et al.
8. Assessment of landslide-triggering factors and occurrence using morphometric parameters in Geyraz Basin, Tokat, Northern Turkey T. Bayer Altın & E. Gökkaya
9. Landslide susceptibility analysis for the Kerch Peninsula using weights of evidence approach and GIS D. Krivoguz & L. Bespalova
10. Assessing the predictive capability of ensemble tree methods for landslide susceptibility mapping using XGBoost, gradient boosting machine, and random forest E. Sahin
11. Assessment of shallow landslide susceptibility using an artificial neural network B. Zeng & X. Chen
12. Landslide susceptibility analysis using Probabilistic Certainty Factor Approach: A case study on Tevankarai stream watershed, India E. Sujatha et al.
13. Cave entrance location model using binary logistic regression: the case study of south Gombong karst region, Indonesia R. Putra et al.
14. Lineament mapping and its application in landslide hazard assessment: a review M. Ramli et al.
15. Spatial analysis of salinity distribution patterns in upper layers of the Black Sea D. Krivoguz et al.
16. Study on Dynamic Stability Prediction Model of Slope in Eastern Tibet Section of Sichuan-Tibet Highway T. Ye et al.
17. Land deformation monitoring using optical remote sensing and PS-InSAR technique nearby Gangotri glacier in higher Himalayas H. Singh & A. Pandey
18. An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm A. Akgun et al.
19. Integrated approach for determining spatio-temporal variations in the hydrodynamic factors as a contributing parameter in landslide susceptibility assessments M. Canoglu et al.
20. Analysis and evaluation of landslide susceptibility: a review on articles published during 2005–2016 (periods of 2005–2012 and 2013–2016) H. Pourghasemi et al.
21. Assembly area risk assessment methodology for post-flood evacuation by integrated neutrosophic AHP-CODAS I. Sahmutoglu et al.
22. Evaluation of prediction capability of the artificial neural networks for mapping landslide susceptibility in the Turbolo River catchment (northern Calabria, Italy) M. Conforti et al.
23. Representative Elementary Volume Estimation and Neural Network-Based Prediction of Change Rates of Dense Non-Aqueous Phase Liquid Saturation and Dense Non-Aqueous Phase Liquid–Water Interfacial Area in Porous Media Z. Cheng et al.
24. A Novel Relevance Vector Machine Classifier with Cuckoo Search Optimization for Spatial Prediction of Landslides N. Hoang & D. Tien Bui
25. Comparative Assessment of Three Nonlinear Approaches for Landslide Susceptibility Mapping in a Coal Mine Area Q. Su et al.
26. Landslide Susceptibility Mapping Using Weighted-Overlay Approach in Rangamati, Bangladesh M. Khatun et al.
27. Landslide Hazard and Risk Mapping Using the Weighted Linear Combination Model Applied to the Tevankarai Stream Watershed, Kodaikkanal, India E. Sujatha & G. Rajamanickam
28. Linear Parameters Causing Landslides: A Case Study of Distance to the Road, Fault, Drainage S. ÇELLEK
29. A Meta-Learning Approach of Optimisation for Spatial Prediction of Landslides B. Pradhan et al.
30. Landslide susceptibility mapping using Genetic Algorithm for the Rule Set Production (GARP) model F. Adineh et al.
31. Quaternary Rock Uplift Rates and Their Implications for the Western Flank of the North Anatolian Fault Restraining Bend; Inferences From Fluvial Terrace Ages K. McClain et al.
32. GIS based landslide susceptibility mapping of Tevankarai Ar sub-watershed, Kodaikkanal, India using binary logistic regression analysis S. Ramani et al.
33. Application of machine learning algorithms in landslide susceptibility mapping, Kali Valley, Kumaun Himalaya, India A. Solanki et al.
34. Shallow Landslide Susceptibility Models Based on Artificial Neural Networks Considering the Factor Selection Method and Various Non-Linear Activation Functions D. Lee et al.
35. Landslide susceptibility mapping at Ovacık-Karabük (Turkey) using different artificial neural network models: comparison of training algorithms A. Can et al.
36. Utilization of Open Source Spatial Data for Landslide Susceptibility Mapping at Chittagong District of Bangladesh—An Appraisal for Disaster Risk Reduction and Mitigation Approach M. Islam et al.
37. Landslide hazard assessment: recent trends and techniques S. Pardeshi et al.
38. Optimizing slope unit-based landslide susceptibility mapping using the priority-flood flow direction algorithm G. Yan et al.
39. Evaluation of the landslide susceptibility and its spatial difference in the whole Qinghai-Tibetan Plateau region by five learning algorithms P. Sajadi et al.
40. An integrated approach of hybrid ensemble machine learning-based efficient seismic slope fragility assessment and GIS mapping R. Mostafizur et al.
41. Evaluation and comparison of landslide susceptibility mapping methods: a case study for the Ulus district, Bartın, northern Turkey A. Eker et al.
42. Survey of spatial and temporal landslide prediction methods and techniques
43. Landslide susceptibility analysis of Karakoram highway using analytical hierarchy process and scoops 3D B. Rashid et al.
44. Comparison of slope stabilization methods by three-dimensional finite element analysis O. Usluogullari et al.
45. Application of Chebyshev theorem to data preparation in landslide susceptibility mapping studies: an example from Yenice (Karabük, Turkey) region M. Ercanoglu et al.
46. A comparison of GIS-based landslide susceptibility assessment of the Satuk village (Yenice, NW Turkey) by frequency ratio and multi-criteria decision methods D. Arca et al.
47. GIS-based multicriteria evaluation with multiscale analysis to characterize urban landslide susceptibility in data-scarce environments S. Dragićević et al.
48. Investigation of slope movements and landslide susceptibility analysis of Karabük-Yenice area in NW of Turkey A. Yiğittepe et al.
49. A Novel Classifier Based on Composite Hyper-cubes on Iterated Random Projections for Assessment of Landslide Susceptibility B. Pham
50. GIS-based landslide susceptibility mapping using bivariate statistical analysis in Devrek (Zonguldak-Turkey) C. Yilmaz et al.
51. A geotechnical approach to compare different slope stabilization techniques for failed slope in the Darjeeling hills, India A. Chawla et al.
52. Landslide susceptibility mapping through continuous fuzzification and geometric average multi-criteria decision-making approaches V. Ghiasi et al.
53. Application of frequency ratio (FR) model in spatial prediction of landslides in the Balason river basin, Darjeeling Himalaya S. Mondal & S. Mandal
54. Evaluation of prediction capability, robustness, and sensitivity in non-linear landslide susceptibility models, Guantánamo, Cuba C. Melchiorre et al.
55. Statistical Analysis of the Potential of Landslides Induced by Combination between Rainfall and Earthquakes C. Tseng et al.
56. Is there a consistency in basin morphometry and hydrodynamic modelling results in terms of the flood generation potential of basins? A case study from the Ulus River Basin (Türkiye) H. Ozdemir & A. Akbas
57. Comparing data-driven landslide susceptibility models based on participatory landslide inventory mapping in Purwosari area, Yogyakarta, Java G. Samodra et al.
58. Landslide susceptibility modeling based on remote sensing data and data mining techniques X. Wang et al.
59. Mapping landslide susceptibility in the Debretabor-Alember road sector, Northwestern Ethiopia through geospatial tools and statistical approaches B. Tesfaye et al.
60. GIS-based landslide susceptibility assessment: a case study in Kelemen Valley (Yenice—Karabuk, NW Turkey) I. Tasoglu et al.
61. Comparison of Random Forest Model and Frequency Ratio Model for Landslide Susceptibility Mapping (LSM) in Yunyang County (Chongqing, China) Y. Wang et al.
62. Landslide identification using machine learning techniques: Review, motivation, and future prospects S. S. et al.
63. Comparative analysis of gradient boosting algorithms for landslide susceptibility mapping E. Sahin
64. Landslide susceptibility analysis using probabilistic likelihood ratio model—a geospatial-based study E. Sujatha et al.
65. GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks D. Tien Bui et al.
66. Optimal landslide susceptibility zonation based on multiple forecasts M. Rossi et al.
67. Landslide susceptibility mapping of Tevankarai Ar sub-watershed, Kodaikkanal taluk, India, using weighted similar choice fuzzy model E. Sujatha & V. Rajamanickam
68. A review on spatial, temporal and magnitude prediction of landslide hazard A. Tyagi et al.
69. Landslide susceptibility zonation mapping using GIS-based frequency ratio model with multi-class spatial data-sets in the Adwa-Adigrat mountain chains, northern Ethiopia G. Berhane et al.
70. Frequency ratio and machine learning-based classification of landslide susceptibility in the west of Mersin province, Türkiye: An integrated approach using SMOTE Ç. Çağan et al.
71. Landslide susceptibility assessment: what are the effects of mapping unit and mapping method? A. Erener & H. Düzgün
72. Application of convolutional neural networks featuring Bayesian optimization for landslide susceptibility assessment M. Sameen et al.
73. Landslide susceptibility analysis for the Kerch Peninsula using weights of evidence approach and GIS D. Krivoguz & L. Bespalova
74. Landslide susceptibility mapping using integrated approach of multi-criteria and geospatial techniques at Nilgiris district of India B. Biswas et al.
75. Methods of Evaluation for Region’s Landslide Susceptibility. Short Overview Д. Кривогуз & D. Krivoguz
76. Adaptation and comparison of expert opinion to analytical hierarchy process for landslide susceptibility mapping M. Ercanoglu et al.
77. A regional scale quantitative risk assessment for landslides: case of Kumluca watershed in Bartin, Turkey A. Erener & H. Düzgün
78. Utilization of streamflow rates for determination of precipitation thresholds for landslides in a data-scarce region (Eastern Bartın, NW Türkiye) P. Avcı & M. Ercanoglu
79. Application of logistic regression and fuzzy operators to landslide susceptibility assessment in Azdavay (Kastamonu, Turkey) M. Ercanoglu & F. Temiz
80. Landslide susceptibility and risk: a micro level study from the Balason River basin in Darjeeling Himalaya S. Mondal & S. Mandal
81. Landslide recognition and mapping in a mixed forest environment from airborne LiDAR data T. Görüm
82. Landslide susceptibility map of Bogor Area using analytical hierarchy process Y. Wicaksono et al.
83. Evaluating the capability of UAV-Derived DEMs for flood hazard analysis H. Ozdemir & A. Akbas
84. A comparative study of landslide susceptibility mapping using landslide susceptibility index and artificial neural networks in the Krios River and Krathis River catchments (northern Peloponnesus, Greece) C. Polykretis et al.
85. Landslide Susceptibility Mapping Using Remotely Sensed Data through Conditional Probability Analysis Using Seed Cell and Point Sampling Techniques E. Ramani Sujatha et al.
86. Landslide susceptibility assessment by using a neuro-fuzzy model: a case study in the Rupestrian heritage rich area of Matera F. Sdao et al.
87. Integrating multicriteria decision-making analysis for a GIS-based settlement area in the district of Atakum, Samsun, Turkey C. Kilicoglu et al.
88. Susceptibility mapping of landslides in Beichuan County using cluster and MLC methods M. Ding & K. Hu
89. Capability assessment of machine learning classifiers for spatial landslide susceptibility mapping in Malappuram district, Kerala, India S. Giri et al.
90. Susceptibility Assessment of Shallow Landslides in Hulu Kelang Area, Kuala Lumpur, Malaysia Using Analytical Hierarchy Process and Frequency Ratio N. Saadatkhah et al.
91. Evaluation of landslide susceptibility based on SMOTE-Tomek sampling and machine learning algorithm M. Lv et al.
92. Landslide susceptibility mapping for a part of tectonic Kelkit Valley (Eastern Black Sea region of Turkey) H. Nefeslioglu et al.
93. Spatial prediction of rainfall-induced shallow landslides using gene expression programming integrated with GIS: a case study in Vietnam N. Hoang & D. Tien Bui
94. A novel ensemble classifier of rotation forest and Naïve Bayer for landslide susceptibility assessment at the Luc Yen district, Yen Bai Province (Viet Nam) using GIS B. Pham et al.
95. Landslide susceptibility evaluation and hazard zonation techniques – a review L. Shano et al.
96. Landslide-Triggering Factors in Korucak Subbasin, North Anatolian, Turkey T. Altın & E. Gökkaya
97. Geotechnical Investigations and Geological Engineering Approaches in Landsliding on Pipelines M. Canoğlu
98. Landslide hazard mapping using GIS and weight of evidence model in Qingshui River watershed of 2008 Wenchuan earthquake struck region C. Xu et al.
99. RS & GIS-based landslide susceptibility mapping of the Balason River basin, Darjeeling Himalaya, using logistic regression (LR) model S. Mondal & S. Mandal
100. The application of GIS-based bivariate statistical methods for landslide hazards assessment in the upper Tons river valley, Western Himalaya, India R. Raman & M. Punia
101. Neural networks and landslide susceptibility: a case study of the urban area of Potenza D. Caniani et al.
102. Data-driven evidential belief function (EBF) model in exploring landslide susceptibility zones for the Darjeeling Himalaya, India S. Mondal & S. Mandal