78 citations as recorded by crossref.

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22. Investigating landslide susceptibility procedures in Greece K. Kavoura & N. Sabatakakis 10.1007/s10346-019-01271-y
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26. Numerical simulation on post-earthquake debris flows: A case study of the Chutou gully in Wenchuan, China B. Liu et al. 10.1088/1755-1315/570/2/022044
27. Variation of debris flow/flood formation conditions at the watershed scale in the Wenchuan Earthquake area X. Guo et al. 10.1007/s10346-021-01644-2
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29. Site scale landslide deformation and strain analysis using MT-InSAR and GNSS approach – A case study V. Kumar Maurya et al. 10.1016/j.asr.2022.05.028
30. The monitoring of a large ancient landslide in Sichuan Province, China, using interferometric synthetic aperture radar technology and sensitivity analysis in potential landslide mass modeling S. Ma & C. Xu 10.1088/1755-1315/861/5/052009
31. Probabilistic rainfall thresholds for debris flows occurred after the Wenchuan earthquake using a Bayesian technique Z. Jiang et al. 10.1016/j.enggeo.2020.105965
32. Revisiting strength concepts and correlations with soil index properties: insights from the Dobkovičky landslide in Czech Republic J. Roháč et al. 10.1007/s10346-019-01306-4
33. Activity characteristics and enlightenment of the debris flow triggered by the rainstorm on 20 August 2019 in Wenchuan County, China J. Xiong et al. 10.1007/s10064-020-01981-x
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35. Spatial and temporal evolution of co-seismic landslides after the 2005 Kashmir earthquake M. Shafique 10.1016/j.geomorph.2020.107228
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37. A review of recent earthquake-induced landslides on the Tibetan Plateau B. Zhao et al. 10.1016/j.earscirev.2023.104534
38. Discovering Vegetation Recovery and Landslide Activities in the Wenchuan Earthquake Area with Landsat Imagery C. Zhong et al. 10.3390/s21155243
39. Evaluating volume of coseismic landslide clusters by flow direction-based partitioning R. Fan et al. 10.1016/j.enggeo.2019.105238
40. Geomorphic effect of debris-flow sediments on the Min River, Wenchuan Earthquake region, western China X. Hu et al. 10.1007/s11629-021-6816-1
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43. Evaluating the post-earthquake landslides sediment supply capacity for debris flows W. Jin et al. 10.1016/j.catena.2022.106649
44. Landslides and fluvial response to landsliding induced by the 1933 Diexi earthquake, Minjiang River, eastern Tibetan Plateau L. Dai et al. 10.1007/s10346-021-01717-2
45. Investigation of the 2019 Wenchuan County debris flow disaster suggests nonuniform spatial and temporal post-seismic debris flow evolution patterns X. Zhang et al. 10.1007/s10346-022-01896-6
46. A thermo-hydro-mechanical approach to soil slope stability under climate change G. Scaringi & M. Loche 10.1016/j.geomorph.2022.108108
47. Coseismic Debris Remains in the Orogen Despite a Decade of Enhanced Landsliding L. Dai et al. 10.1029/2021GL095850
48. Analysing post-earthquake landslide susceptibility using multi-temporal landslide inventories — a case study in Miansi Town of China N. Li et al. 10.1007/s11629-019-5681-7
49. Landslide susceptibility mapping using knowledge driven statistical models in Darjeeling District, West Bengal, India J. Roy & S. Saha 10.1186/s40677-019-0126-8
50. Ecosystem carbon stock loss after a mega earthquake J. Liu et al. 10.1016/j.catena.2022.106393
51. 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
52. Back calculation and hazard prediction of a debris flow in Wenchuan meizoseismal area, China B. Liu et al. 10.1007/s10064-021-02127-3
53. Estimating the debris-flow magnitude using landslide sediment connectivity, Qipan catchment, Wenchuan County, China X. Hu et al. 10.1016/j.catena.2022.106689
54. The Fate of Sediment After a Large Earthquake O. Francis et al. 10.1029/2021JF006352
55. Landslide spatial prediction using cluster analysis Z. Zhao et al. 10.1016/j.gr.2024.02.006
56. Spatial and temporal evolution of long-term debris flow activity and the dynamic influence of condition factors in the Wenchuan earthquake-affected area, Sichuan, China Y. Yang et al. 10.1016/j.geomorph.2023.108755
57. An integrated approach to develop a slope susceptibility map based on a GIS-based approach, soft computing technique and finite element formulation of the bound theorems F. Sengani et al. 10.1016/j.trgeo.2022.100818
58. Catastrophic debris flows triggered by the 20 August 2019 rainfall, a decade since the Wenchuan earthquake, China F. Yang et al. 10.1007/s10346-021-01713-6
59. Analyzing Rainfall Threshold for Shallow Landslides Using Physically Based Modeling in Rasuwa District, Nepal B. Guo et al. 10.3390/w14244074
60. Automated determination of landslide locations after large trigger events: advantages and disadvantages compared to manual mapping D. Milledge et al. 10.5194/nhess-22-481-2022
61. Mapping pre and post earthquake land cover change in Melangkap, Kota Belud Sabah using multi-temporal satellite Landsat 8/OLI and Sentinel 2 Imagery U. Kamlun et al. 10.1088/1755-1315/1053/1/012024
62. Markov–Switching Spatio–Temporal Generalized Additive Model for Landslide Susceptibility A. Sridharan et al. 10.1016/j.envsoft.2023.105892
63. Post-seismic monitoring of cliff mass wasting using an unmanned aerial vehicle and field data at Egremni, Lefkada Island, Greece I. Koukouvelas et al. 10.1016/j.geomorph.2020.107306
64. Two multi-temporal datasets to track debris flow after the 2008 Wenchuan earthquake L. Wang et al. 10.1038/s41597-022-01658-y
65. A hybrid machine-learning model to estimate potential debris-flow volumes J. Huang et al. 10.1016/j.geomorph.2020.107333
66. Debris-Flow Susceptibility Assessment in China: A Comparison between Traditional Statistical and Machine Learning Methods H. Huang et al. 10.3390/rs14184475
67. Remote sensing and optimized neural networks for landslide risk assessment: Paving the way for mitigating Afghanistan landslide damage M. Chang et al. 10.1016/j.ecolind.2023.111179
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69. Decadal vegetation succession from MODIS reveals the spatio-temporal evolution of post-seismic landsliding after the 2008 Wenchuan earthquake A. Yunus et al. 10.1016/j.rse.2019.111476
70. Channel Evolution Triggered by Large Flash Flood at an Earthquake-Affected Catchment W. Jin et al. 10.3390/rs14236060
71. Mapping landslides through a temporal lens: an insight toward multi-temporal landslide mapping using the u-net deep learning model K. Bhuyan et al. 10.1080/15481603.2023.2182057
72. Landslide susceptibility modeling in a complex mountainous region of Sikkim Himalaya using new hybrid data mining approach A. Islam et al. 10.1080/10106049.2021.2009920
73. Surface temperature controls the pattern of post-earthquake landslide activity M. Loche et al. 10.1038/s41598-022-04992-8
74. A closer look at factors governing landslide recovery time in post-seismic periods H. Tanyaş et al. 10.1016/j.geomorph.2021.107912
75. River flooding in a changing climate: rainfall-discharge trends, controlling factors, and susceptibility mapping for the Mahi catchment, Western India S. Das & G. Scaringi 10.1007/s11069-021-04927-y
76. Monitoring of the reconstruction process in a high mountainous area affected by a major earthquake and subsequent hazards C. Tang et al. 10.5194/nhess-20-1163-2020
77. Increase in landslide activity after a low-magnitude earthquake as inferred from DInSAR interferometry S. Martino et al. 10.1038/s41598-022-06508-w
78. Changes in debris-flow susceptibility after the Wenchuan earthquake revealed by meteorological and hydro-meteorological thresholds P. Marino et al. 10.1016/j.catena.2021.105929