90 citations as recorded by crossref.

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3. Landslide topology uncovers failure movements K. Bhuyan et al. 10.1038/s41467-024-46741-7
4. A Novel Ensemble Approach for Landslide Susceptibility Mapping (LSM) in Darjeeling and Kalimpong Districts, West Bengal, India J. Roy et al. 10.3390/rs11232866
5. Distinct Susceptibility Patterns of Active and Relict Landslides Reveal Distinct Triggers: A Case in Northwestern Turkey M. Loche et al. 10.3390/rs14061321
6. Material Activity in Debris Flow Watersheds Pre- and Post-Strong Earthquake: A Case Study from the Wenchuan Earthquake Epicenter Y. Yang et al. 10.3390/w16162284
7. Rapidly Evolving Controls of Landslides After a Strong Earthquake and Implications for Hazard Assessments X. Fan et al. 10.1029/2020GL090509
8. Assessment of Debris Flow Activity in Response to an Earthquake Using the Sediment Connectivity Index Y. Li et al. 10.3389/feart.2022.921706
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10. New Insight into Post-seismic Landslide Evolution Processes in the Tropics H. Tanyaş et al. 10.3389/feart.2021.700546
11. Post-Shock Gravitational Erosion and Sediment Yield: A Case Study of Landscape Transformation along the Wenchuan–Yingxiu Section of the Minjiang River, Sichuan, China Y. Han et al. 10.3390/rs15143506
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20. Enhancing post-seismic landslide susceptibility modeling in China through a time-variant approach: a spatio-temporal analysis X. Guo et al. 10.1080/17538947.2023.2265907
21. Generating multi-temporal landslide inventories through a general deep transfer learning strategy using HR EO data K. Bhuyan et al. 10.1038/s41598-022-27352-y
22. Risk Assessment of Single-Gully Debris Flow Based on Dynamic Changes in Provenance in the Wenchuan Earthquake Zone: A Case Study of the Qipan Gully N. Su et al. 10.3390/su151512098
23. Valuable Clues for DCNN-Based Landslide Detection from a Comparative Assessment in the Wenchuan Earthquake Area C. Li et al. 10.3390/s21155191
24. Comparative Evaluation of State-of-the-Art Semantic Segmentation Networks for Long-Term Landslide Map Production Z. Hu et al. 10.3390/s23229041
25. An improved index of mixing degree and its effect on the strength of binary geotechnical mixtures S. Liu et al. 10.1007/s10035-021-01168-5
26. Investigating landslide susceptibility procedures in Greece K. Kavoura & N. Sabatakakis 10.1007/s10346-019-01271-y
27. Topographical and geological variation of effective rainfall for debris-flow occurrence from a large-scale perspective S. Liu et al. 10.1016/j.geomorph.2020.107134
28. Big Disaster from Small Watershed: Insights into the Failure and Disaster-Causing Mechanism of a Debris Flow on 25 September 2021 in Tianquan, China R. Hou et al. 10.1007/s13753-024-00576-4
29. Relationship Between Dams, Knickpoints and the Longitudinal Profile of the Upper Indus River L. Zhou et al. 10.3389/feart.2021.660996
30. Characteristics of Debris Flow Activities at Different Scales after the Disturbance of Strong Earthquakes—A Case Study of the Wenchuan Earthquake-Affected Area Y. Yang et al. 10.3390/w15040698
31. 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
32. 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
33. Estimating weakening on hillslopes caused by strong earthquakes C. Xi et al. 10.1038/s43247-024-01256-3
34. 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
35. 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
36. 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
37. 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
38. 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
39. Ten years of landslide development after the Wenchuan earthquake: a case study from Miansi town, China N. Li et al. 10.1007/s11069-021-05157-y
40. Spatial and temporal evolution of co-seismic landslides after the 2005 Kashmir earthquake M. Shafique 10.1016/j.geomorph.2020.107228
41. Simple rules to minimise exposure to coseismic landslide hazard D. Milledge et al. 10.5194/nhess-19-837-2019
42. A review of recent earthquake-induced landslides on the Tibetan Plateau B. Zhao et al. 10.1016/j.earscirev.2023.104534
43. Discovering Vegetation Recovery and Landslide Activities in the Wenchuan Earthquake Area with Landsat Imagery C. Zhong et al. 10.3390/s21155243
44. Evaluating volume of coseismic landslide clusters by flow direction-based partitioning R. Fan et al. 10.1016/j.enggeo.2019.105238
45. 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
46. Net primary productivity changes associated with landslides induced by the 2008 Wenchuan Earthquake Y. Yang et al. 10.1002/ldr.4514
47. Frequent dry-wet cycles promote debris flow occurrence: Insights from 40 years of data in subtropical monsoon region of Sichuan, China J. Li et al. 10.1016/j.catena.2024.107888
48. Evaluating the post-earthquake landslides sediment supply capacity for debris flows W. Jin et al. 10.1016/j.catena.2022.106649
49. 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
50. Probabilistic identification of debris flow source areas in the Wenchuan earthquake-affected region of China based on Bayesian geomorphology X. Hu et al. 10.1007/s12665-024-11833-6
51. 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
52. A thermo-hydro-mechanical approach to soil slope stability under climate change G. Scaringi & M. Loche 10.1016/j.geomorph.2022.108108
53. Identifying the Characteristics and Implications of Post-Earthquake Debris Flow Events Based on Multi-Source Remote Sensing Images W. Jin et al. 10.3390/rs16173336
54. Coseismic Debris Remains in the Orogen Despite a Decade of Enhanced Landsliding L. Dai et al. 10.1029/2021GL095850
55. 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
56. Landslide susceptibility mapping using knowledge driven statistical models in Darjeeling District, West Bengal, India J. Roy & S. Saha 10.1186/s40677-019-0126-8
57. Ecosystem carbon stock loss after a mega earthquake J. Liu et al. 10.1016/j.catena.2022.106393
58. 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
59. Back calculation and hazard prediction of a debris flow in Wenchuan meizoseismal area, China B. Liu et al. 10.1007/s10064-021-02127-3
60. Estimating the debris-flow magnitude using landslide sediment connectivity, Qipan catchment, Wenchuan County, China X. Hu et al. 10.1016/j.catena.2022.106689
61. Quantifying the impact of earthquakes and geological factors on spatial heterogeneity of debris-flow prone areas: A case study in the Hengduan Mountains X. Hu et al. 10.1007/s11629-023-8320-2
62. The Fate of Sediment After a Large Earthquake O. Francis et al. 10.1029/2021JF006352
63. Landslide spatial prediction using cluster analysis Z. Zhao et al. 10.1016/j.gr.2024.02.006
64. 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
65. 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
66. 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
67. Analyzing Rainfall Threshold for Shallow Landslides Using Physically Based Modeling in Rasuwa District, Nepal B. Guo et al. 10.3390/w14244074
68. 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
69. 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
70. Generative deep learning for data generation in natural hazard analysis: motivations, advances, challenges, and opportunities Z. Ma et al. 10.1007/s10462-024-10764-9
71. Markov–Switching Spatio–Temporal Generalized Additive Model for Landslide Susceptibility A. Sridharan et al. 10.1016/j.envsoft.2023.105892
72. 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
73. Two multi-temporal datasets to track debris flow after the 2008 Wenchuan earthquake L. Wang et al. 10.1038/s41597-022-01658-y
74. Dependence of debris flow susceptibility maps on sampling strategy with data-driven grid-based model N. Jiang et al. 10.1016/j.ecolind.2024.112534
75. A hybrid machine-learning model to estimate potential debris-flow volumes J. Huang et al. 10.1016/j.geomorph.2020.107333
76. Debris-Flow Susceptibility Assessment in China: A Comparison between Traditional Statistical and Machine Learning Methods H. Huang et al. 10.3390/rs14184475
77. 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
78. Characteristics of the disastrous debris flow of Chediguan gully in Yinxing town, Sichuan Province, on August 20, 2019 N. Li et al. 10.1038/s41598-021-03125-x
79. 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
80. Channel Evolution Triggered by Large Flash Flood at an Earthquake-Affected Catchment W. Jin et al. 10.3390/rs14236060
81. 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
82. 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
83. Surface temperature controls the pattern of post-earthquake landslide activity M. Loche et al. 10.1038/s41598-022-04992-8
84. Identifying potential debris flow hazards after the 2022 Mw 6.8 Luding earthquake in southwestern China M. Chen et al. 10.1007/s10064-024-03749-z
85. Integrated risk assessment of landslide in karst terrains: Advancing landslides management in Beiliu City, China M. Chang et al. 10.1016/j.jag.2024.104046
86. A closer look at factors governing landslide recovery time in post-seismic periods H. Tanyaş et al. 10.1016/j.geomorph.2021.107912
87. 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
88. 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
89. Increase in landslide activity after a low-magnitude earthquake as inferred from DInSAR interferometry S. Martino et al. 10.1038/s41598-022-06508-w
90. 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