60 citations as recorded by crossref.

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9. Assessment of Landslide Susceptibility Combining Deep Learning with Semi-Supervised Learning in Jiaohe County, Jilin Province, China J. Yao et al. 10.3390/app10165640
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21. Alluvial fan shifts and stream captures driven by extensional tectonics in central Italy F. Mirabella et al. 10.1144/jgs2017-138
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25. Modelling landslides in the Lesser Himalaya region using geospatial and numerical simulation techniques M. Islam & S. Chattoraj 10.1007/s12517-023-11541-8
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27. Literature review and bibliometric analysis on data-driven assessment of landslide susceptibility P. Lima et al. 10.1007/s11629-021-7254-9
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29. The Use of High-Resolution Remote Sensing Data in Preparation of Input Data for Large-Scale Landslide Hazard Assessments M. Sinčić et al. 10.3390/land11081360
30. Landslide susceptibility assessment based on an incomplete landslide inventory in the Jilong Valley, Tibet, Chinese Himalayas J. Du et al. 10.1016/j.enggeo.2020.105572
31. Visual interpretation of stereoscopic NDVI satellite images to map rainfall-induced landslides F. Fiorucci et al. 10.1007/s10346-018-1069-y
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33. Two multi-temporal datasets that track the enhanced landsliding after the 2008 Wenchuan earthquake X. Fan et al. 10.5194/essd-11-35-2019
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36. Spatial and temporal patterns and the socioeconomic impacts of landslides in the tropical and mountainous Colombian Andes E. Aristizábal & O. Sánchez 10.1111/disa.12391
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38. Criteria for the optimal selection of remote sensing optical images to map event landslides F. Fiorucci et al. 10.5194/nhess-18-405-2018
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41. Inventory of landslides triggered by an extreme rainfall event in Marche-Umbria, Italy, on 15 September 2022 M. Santangelo et al. 10.1038/s41597-023-02336-3
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44. Landslide distribution and size in response to Quaternary fault activity: the Peloritani Range, NE Sicily, Italy F. Bucci et al. 10.1002/esp.3898
45. Distribution of landslides caused by heavy rainfall events and an earthquake in northern Aso Volcano, Japan from 1955 to 2016 A. Yano et al. 10.1016/j.geomorph.2018.11.024
46. The influence of forest cover on landslide occurrence explored with spatio-temporal information E. Schmaltz et al. 10.1016/j.geomorph.2017.04.024
47. Creation of a Landslide Inventory for the 2018 Storm Event of Kodagu in the Western Ghats for Landslide Susceptibility Mapping Using Machine Learning G. Arpitha et al. 10.1007/s12524-024-01953-8
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50. Geomorphologic landslide inventory by air photo interpretation of the High Agri Valley (Southern Italy) F. Bucci et al. 10.1080/17445647.2021.1943552
51. Landslide Awareness System (LAwS) to Increase the Resilience and Safety of Transport Infrastructure: The Case Study of Pan-American Highway (Cuenca–Ecuador) P. Miele et al. 10.3390/rs13081564
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53. Estimates of three-dimensional rupture surface geometry of deep-seated landslides using landslide inventories and high-resolution topographic data M. Bunn et al. 10.1016/j.geomorph.2020.107332
54. Landslide susceptibility assessment using different rainfall event-based landslide inventories: advantages and limitations S. Oliveira et al. 10.1007/s11069-024-06691-1
55. Mapping landslide susceptibility using data-driven methods J. Zêzere et al. 10.1016/j.scitotenv.2017.02.188
56. The use of landslide hazard maps to determine mitigation priorities in a dam reservoir and its protection area H. Nefeslioglu & T. Gorum 10.1016/j.landusepol.2019.104363
57. Effective surveyed area and its role in statistical landslide susceptibility assessments T. Bornaetxea et al. 10.5194/nhess-18-2455-2018
58. Satellite-based landslide distribution mapping with the adoption of deep learning approach in the Kuantan River Basin, Pahang N. Yusri et al. 10.1088/1755-1315/1296/1/012014
59. A hybrid model to overcome landslide inventory incompleteness issue for landslide susceptibility prediction J. Tan et al. 10.1080/10106049.2024.2322066
60. Evaluation of landslide susceptibility models: A comparative study on the part of Western Ghat Region, India S. Bera et al. 10.1016/j.rsase.2018.10.010