51 citations as recorded by crossref.

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2. A Hybrid Model Consisting of Supervised and Unsupervised Learning for Landslide Susceptibility Mapping Z. Liang et al. 10.3390/rs13081464
3. Detection and characterization of slow-moving landslides in the 2017 Jiuzhaigou earthquake area by combining satellite SAR observations and airborne Lidar DSM J. Cai et al. 10.1016/j.enggeo.2022.106730
4. Introducing a geospatial database and GIS techniques as a decision-making tool for multicriteria decision analysis methods in landslides susceptibility assessment C. Nefros & C. Loupasakis 10.12681/bgsg.29038
5. Landslide Susceptibility Prediction: Improving the Quality of Landslide Samples by Isolation Forests Q. Zhang et al. 10.3390/su142416692
6. Implications of the loess record for Holocene climate and human settlement in Heye Catchment, Jiuzhaigou, eastern Tibetan Plateau, Sichuan, China A. Schmidt et al. 10.1017/qua.2022.44
7. The suitability of different vegetation indices to analyses area with landslide propensity using Sentinel -2 Image L. Giordano et al. 10.1590/s1982-21702023000300008
8. Development of black ice prediction model using GIS-based multi-sensor model validation S. Hong et al. 10.5194/nhess-22-3435-2022
9. An improved buffer-controlled sampling strategy for landslide susceptibility assessment considering the spatial heterogeneity of conditioning factors L. Liu et al. 10.1007/s10064-024-04008-x
10. Rainfall Induced Landslide Susceptibility Mapping Based on Bayesian Optimized Random Forest and Gradient Boosting Decision Tree Models—A Case Study of Shuicheng County, China G. Rong et al. 10.3390/w12113066
11. A review of recent earthquake-induced landslides on the Tibetan Plateau B. Zhao et al. 10.1016/j.earscirev.2023.104534
12. Comparison of multiple conventional and unconventional machine learning models for landslide susceptibility mapping of Northern part of Pakistan B. Aslam et al. 10.1007/s10668-022-02314-6
13. Modeling landslide susceptibility based on convolutional neural network coupling with metaheuristic optimization algorithms Z. Chen & D. Song 10.1080/17538947.2023.2249863
14. Hazard Mapping of the Rainfall–Landslides Disaster Chain Based on GeoDetector and Bayesian Network Models in Shuicheng County, China G. Rong et al. 10.3390/w12092572
15. Landslide susceptibility mapping based on CNN-3D algorithm with attention module embedded Z. Yang et al. 10.1007/s10064-022-02889-4
16. Risk Factor Detection and Landslide Susceptibility Mapping Using Geo-Detector and Random Forest Models: The 2018 Hokkaido Eastern Iburi Earthquake Y. Liu et al. 10.3390/rs13061157
17. Multi-Temporal Landslide Inventory-Based Statistical Susceptibility Modeling Associated With the 2017 Mw 6.5 Jiuzhaigou Earthquake, Sichuan, China L. Luo et al. 10.3389/fenvs.2022.858635
18. An essential update on the inventory of landslides triggered by the Jiuzhaigou Mw6.5 earthquake in China on 8 August 2017, with their spatial distribution analyses J. Sun et al. 10.1016/j.heliyon.2024.e24787
19. A New Deep-Learning-Based Approach for Earthquake-Triggered Landslide Detection From Single-Temporal RapidEye Satellite Imagery Y. Yi & W. Zhang 10.1109/JSTARS.2020.3028855
20. Analysis of landslide susceptibility prediction accuracy with an event-based inventory: The 6 February 2023 Turkiye earthquakes G. Karakas et al. 10.1016/j.soildyn.2024.108491
21. Rapidly assessing earthquake-induced landslide susceptibility on a global scale using random forest Q. He et al. 10.1016/j.geomorph.2021.107889
22. Catchment-scale impacts of shallow landslides on stream water chemistry N. Yoshihara et al. 10.1016/j.scitotenv.2022.153970
23. Landslide Susceptibility Mapping Using Ant Colony Optimization Strategy and Deep Belief Network in Jiuzhaigou Region Y. Xiong et al. 10.1109/JSTARS.2021.3122825
24. An innovative method for landslide susceptibility mapping supported by fractal theory, GeoDetector, and random forest: a case study in Sichuan Province, SW China Z. Chen et al. 10.1007/s11069-023-06104-9
25. Landslide hazard zonation and evaluation around Debre Markos town, NW Ethiopia—a GIS-based bivariate statistical approach D. Asmare 10.1016/j.sciaf.2022.e01129
26. A Hybrid Multi-Hazard Susceptibility Assessment Model for a Basin in Elazig Province, Türkiye G. Karakas et al. 10.1007/s13753-023-00477-y
27. An information quantity and machine learning integrated model for landslide susceptibility mapping in Jiuzhaigou, China Y. Yang et al. 10.1007/s11069-024-06602-4
28. Application of a GIS-Based Slope Unit Method for Landslide Susceptibility Mapping in Helong City: Comparative Assessment of ICM, AHP, and RF Model C. Yu & J. Chen 10.3390/sym12111848
29. A bibliometric and content analysis of research trends on GIS-based landslide susceptibility from 2001 to 2020 J. Huang et al. 10.1007/s11356-022-23732-z
30. Co-seismic landslide susceptibility mapping for the Luding earthquake area based on heterogeneous ensemble machine learning models R. Zhang et al. 10.1080/17538947.2024.2409337
31. Landslide susceptibility mapping using multiscale sampling strategy and convolutional neural network: A case study in Jiuzhaigou region Y. Yi et al. 10.1016/j.catena.2020.104851
32. From scenario-based seismic hazard to scenario-based landslide hazard: rewinding to the past via statistical simulations L. Luo et al. 10.1007/s00477-020-01959-x
33. Climate Change Induced Landslide Susceptibility Assessment - for Aiding Climate Resilient Planning for Road Infrastructure: A Case Study in Rangamati District, Chittagong Hill Tracts, Bangladesh I. Wijaya et al. 10.1088/1755-1315/1091/1/012010
34. Population amount risk assessment of extreme precipitation-induced landslides based on integrated machine learning model and scenario simulation G. Rong et al. 10.1016/j.gsf.2023.101541
35. Landslide susceptibility mapping and risk assessment using total estimated susceptibility values along NH44 in Jammu and Kashmir, Western Himalaya R. Mir et al. 10.1007/s11069-023-06363-6
36. Landslide Susceptibility Mapping Based on Ensemble Learning in the Jiuzhaigou Region, Sichuan, China B. An et al. 10.3390/rs16224218
37. Evaluation of neural network models for landslide susceptibility assessment Y. Yi et al. 10.1080/17538947.2022.2062467
38. Spatio-temporal evolution of post-seismic landslides and debris flows: 2017 Ms 7.0 Jiuzhaigou earthquake X. Wang & H. Mao 10.1007/s11356-021-16789-9
39. Post-earthquake spatiotemporal evolution characteristics of typical landslide sources in the Jiuzhaigou meizoseismal area C. Huang et al. 10.1007/s10064-024-03724-8
40. An artificial intelligence based framework to analyze the landside risk of a mountainous highway A. Sharma et al. 10.1080/10106049.2023.2186494
41. Accurate Prediction of Earthquake-Induced Landslides Based on Deep Learning Considering Landslide Source Area Y. Li et al. 10.3390/rs13173436
42. Spatial distribution characteristics of climate-induced landslides in the Eastern Himalayas D. Uwizeyimana et al. 10.1007/s11629-024-8869-4
43. Landslide Susceptibility Mapping along the Anninghe Fault Zone in China using SVM and ACO-PSO-SVM Models Z. Chen et al. 10.2113/2022/5216125
44. GIS-based seismic vulnerability mapping: a comparison of artificial neural networks hybrid models P. Yariyan et al. 10.1080/10106049.2021.1892208
45. Global Dynamic Rainfall-Induced Landslide Susceptibility Mapping Using Machine Learning B. Li et al. 10.3390/rs14225795
46. Application of an Incomplete Landslide Inventory and One Class Classifier to Earthquake-Induced Landslide Susceptibility Mapping S. Chen et al. 10.1109/JSTARS.2020.2985088
47. Comparison of Tree-Structured Parzen Estimator Optimization in Three Typical Neural Network Models for Landslide Susceptibility Assessment G. Rong et al. 10.3390/rs13224694
48. A Novel Intelligent Method Based on the Gaussian Heatmap Sampling Technique and Convolutional Neural Network for Landslide Susceptibility Mapping Y. Xiong et al. 10.3390/rs14122866
49. Establishing a GIS-based evaluation method considering spatial heterogeneity for debris flow susceptibility mapping at the regional scale S. Qin et al. 10.1007/s11069-022-05487-5
50. Frekans oranı yöntemiyle coğrafi bilgi sistemi ortamında heyelan duyarlılık haritasının üretilmesi: Manisa, Demirci, Tekeler Köyü örneği O. YILMAZ 10.29128/geomatik.1108735
51. Earthquake‐Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts X. Fan et al. 10.1029/2018RG000626