55 citations as recorded by crossref.

1. Satellite-based emergency mapping using optical imagery: experience and reflections from the 2015 Nepal earthquakes J. Williams et al. 10.5194/nhess-18-185-2018
2. Application of different earthquake-induced landslide hazard assessment models on the 2022 Ms 6.8 luding earthquake Y. Lu et al. 10.3389/feart.2024.1429421
3. A framework to integrate social media and authoritative data for disaster relief detection and distribution optimization T. Schempp et al. 10.1016/j.ijdrr.2019.101143
4. Near‐Real‐Time Modeling of Landslide Impacts to Inform Rapid Response: An Example from the 2016 Kaikōura, New Zealand, Earthquake T. Robinson et al. 10.1785/0120170234
5. Tree-ring correlations suggest links between moderate earthquakes and distant rockfalls in the Patagonian Cordillera M. Stoffel et al. 10.1038/s41598-019-48530-5
6. Two-phase strategy for rapid and unbiased assessment of earthquake-induced landslides S. Xiao et al. 10.1016/j.enggeo.2024.107562
7. COLAFOS: a hybrid machine learning model to forecast potential coseismic landslides severity A. Psathas et al. 10.1080/24751839.2022.2062918
8. Properties of fault zones and their influences on rainfall-induced landslides, examples from Alborz and Zagros ranges M. Ehteshami-Moinabadi 10.1007/s12665-022-10283-2
9. Preliminary documentation of coseismic ground failure triggered by the February 6, 2023 Türkiye earthquake sequence T. Görüm et al. 10.1016/j.enggeo.2023.107315
10. 基于知识图谱的滑坡易发性评价文献综述及研究进展 F. Guo et al. 10.3799/dqkx.2023.058
11. Risk assessment of engineering diseases of embankment–bridge transition section for railway in permafrost regions S. Zhang et al. 10.1002/ppp.2135
12. Temporal Variations in Landslide Distributions Following Extreme Events: Implications for Landslide Susceptibility Modeling J. Jones et al. 10.1029/2021JF006067
13. The world's second-largest, recorded landslide event: Lessons learnt from the landslides triggered during and after the 2018 Mw 7.5 Papua New Guinea earthquake H. Tanyaş et al. 10.1016/j.enggeo.2021.106504
14. Capturing the footprints of ground motion in the spatial distribution of rainfall-induced landslides H. Tanyaş et al. 10.1007/s10064-021-02238-x
15. Regional seismic landslide susceptibility assessment considering the rock mass strength heterogeneity S. Chen et al. 10.1080/19475705.2022.2152392
16. Evaluating underlying causative factors for earthquake-induced landslides and landslide susceptibility mapping in Upper Indrawati Watershed, Nepal P. Gautam et al. 10.1186/s40677-021-00200-3
17. Assessment of attenuation regressions for earthquake-triggered landslides in the Italian Apennines: insights from recent and historical events F. Livio & M. Ferrario 10.1007/s10346-020-01464-w
18. Comparison of Three Mixed-Effects Models for Mass Movement Susceptibility Mapping Based on Incomplete Inventory in China Y. He & Y. Zhang 10.3390/rs14236068
19. A hybrid model to overcome landslide inventory incompleteness issue for landslide susceptibility prediction J. Tan et al. 10.1080/10106049.2024.2322066
20. Nepalese landslide information system (NELIS): a conceptual framework for a web-based geographical information system for enhanced landslide risk management in Nepal S. Meena et al. 10.5194/nhess-21-301-2021
21. Lethality level analysis of secondary landslides based on field survey data: a case study of Luding earthquake L. Yao et al. 10.1007/s10346-023-02172-x
22. Dynamic Earthquake-Induced Landslide Susceptibility Assessment Model: Integrating Machine Learning and Remote Sensing Y. Yang et al. 10.3390/rs16214006
23. Examining the role of class imbalance handling strategies in predicting earthquake-induced landslide-prone regions Q. Pham et al. 10.1016/j.asoc.2023.110429
24. Spatial prediction strategy for landslides triggered by large earthquakes oriented to emergency response, mid-term resettlement and later reconstruction S. Ma et al. 10.1016/j.ijdrr.2019.101362
25. On the Importance of Train–Test Split Ratio of Datasets in Automatic Landslide Detection by Supervised Classification K. Pawluszek-Filipiak & A. Borkowski 10.3390/rs12183054
26. Changing significance of landslide Hazard and risk after the 2015 Mw 7.8 Gorkha, Nepal Earthquake N. Rosser et al. 10.1016/j.pdisas.2021.100159
27. The Use of Innovative Techniques for Management of High-Risk Coastal Areas, Mitigation of Earthquake-Triggered Landslide Risk and Responsible Coastal Development S. Mavroulis et al. 10.3390/app12042193
28. Characteristics of grain size distribution and the shear strength analysis of Chenjiaba long runout coseismic landslide E. Getahun et al. 10.1007/s11629-019-5535-3
29. A near-real-time model for estimating probability of road obstruction due to earthquake-triggered landslides B. Wilson et al. 10.1177/87552930211020022
30. From ground motion simulations to landslide occurrence prediction A. Dahal et al. 10.1016/j.geomorph.2023.108898
31. UAV-Derived Himalayan Topography: Hazard Assessments and Comparison with Global DEM Products C. Watson et al. 10.3390/drones3010018
32. Comparison of Earthquake-Triggered Landslide Inventories: A Case Study of the 2015 Gorkha Earthquake, Nepal S. Meena & S. Tavakkoli Piralilou 10.3390/geosciences9100437
33. Role of landslides on the volume balance of the Nepal 2015 earthquake sequence A. Valagussa et al. 10.1038/s41598-021-83037-y
34. Combining remote sensing techniques and field surveys for post-earthquake reconnaissance missions G. Giardina et al. 10.1007/s10518-023-01716-9
35. A systematic exploration of satellite radar coherence methods for rapid landslide detection K. Burrows et al. 10.5194/nhess-20-3197-2020
36. Seismic cycles, earthquakes, landslides and sediment fluxes: Linking tectonics to surface processes using a reduced-complexity model T. Croissant et al. 10.1016/j.geomorph.2019.04.017
37. A New Method for Large-Scale Landslide Classification from Satellite Radar K. Burrows et al. 10.3390/rs11030237
38. Modelling post‐earthquake cascading hazards: Changing patterns of landslide runout following the 2015 Gorkha earthquake, Nepal M. Kincey et al. 10.1002/esp.5501
39. Full seismic waveform analysis combined with transformer neural networks improves coseismic landslide prediction A. Dahal et al. 10.1038/s43247-024-01243-8
40. An Investigation of Landslide Susceptibility Using Logistic Regression and Statistical Index Methods in Dailekh District, Nepal D. Rai et al. 10.1007/s11769-022-1304-2
41. Calculation of precipitation and seismicity thresholds as triggers for mass movements in the region of Bucaramanga, Colombia J. Ortiz & A. Martínez-Graña 10.1016/j.ecolind.2023.110355
42. Seismically-induced landslide probabilistic hazard mapping of Aba Prefecture and Chengdu Plain region, Sichuan Province, China for future seismic scenarios X. Shao et al. 10.1186/s40562-023-00307-5
43. HyLands 1.0: a hybrid landscape evolution model to simulate the impact of landslides and landslide-derived sediment on landscape evolution B. Campforts et al. 10.5194/gmd-13-3863-2020
44. Estimating the Quality of the Most Popular Machine Learning Algorithms for Landslide Susceptibility Mapping in 2018 Mw 7.5 Palu Earthquake S. Ma et al. 10.3390/rs15194733
45. Review of landslide inventories for Nepal between 2010 and 2021 reveals data gaps in global landslide hotspot E. Harvey et al. 10.1007/s11069-024-07013-1
46. Geostatistical Modeling to Capture Seismic‐Shaking Patterns From Earthquake‐Induced Landslides L. Lombardo et al. 10.1029/2019JF005056
47. Rapid Mapping of Landslides Induced by Heavy Rainfall in the Emilia-Romagna (Italy) Region in May 2023 M. Ferrario & F. Livio 10.3390/rs16010122
48. Use of scenario ensembles for deriving seismic risk T. Robinson et al. 10.1073/pnas.1807433115
49. Integrating empirical models and satellite radar can improve landslide detection for emergency response K. Burrows et al. 10.5194/nhess-21-2993-2021
50. Hazard assessment modeling and software development of earthquake-triggered landslides in the Sichuan–Yunnan area, China X. Shao et al. 10.5194/gmd-16-5113-2023
51. Rapid prediction of the magnitude scale of landslide events triggered by an earthquake H. Tanyaş et al. 10.1007/s10346-019-01136-4
52. Presentation and Analysis of a Worldwide Database of Earthquake‐Induced Landslide Inventories H. Tanyaş et al. 10.1002/2017JF004236
53. Coseismic landslides triggered by the 8th August 2017 Ms 7.0 Jiuzhaigou earthquake (Sichuan, China): factors controlling their spatial distribution and implications for the seismogenic blind fault identification X. Fan et al. 10.1007/s10346-018-0960-x
54. Near-Real Prediction of Earthquake-Triggered Landslides on the Southeastern Margin of the Tibetan Plateau A. Zhang et al. 10.3390/rs16101683
55. Dynamic association of slope movements in the Uttarakhand Himalaya: a critical review on the landslide susceptibility assessment H. Khali et al. 10.1080/19475705.2023.2273214