59 citations as recorded by crossref.

1. Machine learning-based predictions of current and future susceptibility to retrogressive thaw slumps across the Northern Hemisphere J. Luo et al.
2. Integrating time-series analysis and deep learning methods to reconstruct the long-term retrogressive thaw slumps dynamics in the Qinghai-Tibet Plateau J. MA et al.
3. AI for geosafety: motivations, advances, challenges, and opportunities M. Zhou et al.
4. Formation mechanism of climate warming-induced landslides in permafrost along the Qinghai-Tibet Engineering corridor T. Wei et al.
5. Permafrost Mass Wasting in Ice‐Rich Landscapes: Recent Advances (2013 to 2024) on Mechanisms, Dynamics and Impacts J. Young et al.
6. Thaw Slump Susceptibility Mapping Based on Sample Optimization and Ensemble Learning Techniques in Qinghai-Tibet Railway Corridor Y. He et al.
7. Identification and distribution characteristics of potential freezethaw-induced landslides using remote sensing and deep learning: Insights from Qinghai-Tibet Engineering Corridor W. Li et al.
8. Automatic mapping and pattern analysis of retrogressive thaw slumps on the central Tibetan Plateau using deep learning Y. Yuan et al.
9. Allometric scaling of retrogressive thaw slumps J. van der Sluijs et al.
10. Prominent creep characteristics of thermokarst landslides on central Tibetan Plateau under climate warming conditions Y. Liu et al.
11. Numerical analysis of the impacts of rainfall on permafrost-related slope stability on the Qinghai–Tibet Plateau J. Hao et al.
12. Classification of cryogenic-landslide landforms for mapping and prediction M. Leibman et al.
13. MT-InSAR Unveils Dynamic Permafrost Disturbances in Hoh Xil (Kekexili) on the Tibetan Plateau Hinterland P. Lu et al.
14. Enhanced Detection of Permafrost Deformation with Machine Learning and Interferometric SAR Along the Qinghai–Tibet Engineering Corridor P. Fan et al.
15. Recognition of thaw slumps based on machine learning and UAVs: A case study in the Qilian Mountains, northeastern Qinghai-Tibet Plateau P. Lou et al.
16. Susceptibility Mapping of Thaw Slumps Based on Neural Network Methods along the Qinghai–Tibet Engineering Corridor P. Li et al.
17. Near Pan-Svalbard permafrost cryospheric hazards inventory (SvalCryo) I. Nicu et al.
18. Quantifying the water contributions and carbon consequences of permafrost degradation on the Tibetan Plateau T. Lan et al.
19. Distribution and Recurrence of Warming‐Induced Retrogressive Thaw Slumps on the Central Qinghai‐Tibet Plateau D. Yang et al.
20. Retrogressive thaw slumps recognition and occurrence analysis using deep learning with satellite remote sensing in the central Qinghai-Tibet Plateau F. Wu et al.
21. Mechanical properties and enhanced soil shear strength of herbaceous plant roots in the alpine meadow layer of the permafrost region on the Qinghai–Xizang Plateau, China D. He et al.
22. Spatial Zoning Characteristics of Thaw Settlement in Separated Subgrades in Permafrost Regions of the Qinghai–Tibet Engineering Corridor J. Chen et al.
23. Spatiotemporal dynamics of retrogressive thaw slumps on the Qinghai-Tibet Plateau: integrating UAV-LiDAR and GPR F. Yu et al.
24. Formation and evolution of thermokarst landslides in the Qinghai-Tibet Plateau, China T. Wei et al.
25. High-resolution inventory and classification of retrogressive thaw slumps in West Siberia N. Nesterova et al.
26. Permafrost thaw and thermokarst in the source region of the Yangtze river in the central Tibetan plateau revealed by radar and optical remote sensing L. Wang et al.
27. Deformation and Volumetric Change in a Typical Retrogressive Thaw Slump in Permafrost Regions of the Central Tibetan Plateau, China C. Jiao et al.
28. Landslides along the Engineering Corridors in the Northeastern Margin of the Qinghai-Tibet Plateau of China: Comprehensive Inventory and Mechanism Analysis J. Zhang et al.
29. Tracking 35-year dynamics of retrogressive thaw slumps across permafrost regions of the Tibetan Plateau G. Yang et al.
30. Improved ISBAS for early identifying Qinghai-Tibet Plateau potential thermokarst landslides regions F. Wang et al.
31. Detecting mass wasting of Retrogressive Thaw Slumps in spaceborne elevation models using deep learning K. Maier et al.
32. Thermokarst hazard dataset for Qilian mountains permafrost regions in China Y. Zhang et al.
33. Potential vegetation greenness changes in the permafrost areas over the Tibetan Plateau under future climate warming R. Chen et al.
34. Numerical simulation for vibration-induced settlement and permanent deformation accumulation in permafrost subgrades of the Qinghai-Tibet Railway C. Tang et al.
35. Distribution and Morphometry of Thermocirques in the North of West Siberia, Russia M. Leibman et al.
36. Multi-hazard susceptibility mapping of cryospheric hazards in a high-Arctic environment: Svalbard Archipelago I. Nicu et al.
37. Abrupt thaw and its effects on permafrost carbon emissions in the Tibetan Plateau: A remote sensing and modeling perspective Y. Yi et al.
38. Identifying active retrogressive thaw slumps from ArcticDEM L. Huang et al.
39. Retrogressive thaw slump susceptibility in the northern hemisphere permafrost region E. Makopoulou et al.
40. Recent rapid initiation and growth of retrogressive thaw slumps in the Hoh Xil region of the Qinghai-Tibetan Plateau J. Luo et al.
41. Permafrost Degradation Threatening the Qinghai–Xizang Railway Q. Wu et al.
42. The first hillslope thermokarst inventory for the permafrost region of the Qilian Mountains X. Peng et al.
43. Enhanced detection of freeze‒thaw induced landslides in Zhidoi county (Tibetan Plateau, China) with Google Earth Engine and image fusion J. Yang et al.
44. Quantifying retrogressive thaw slump mass wasting and carbon mobilisation on the Qinghai-Tibet Plateau using multi-modal remote sensing K. Maier et al.
45. Assessing the impact of retrogressive thaw slump on soil structure by analyzing the multifractal characteristics of soil particle size distribution on the Qinghai–Tibet Plateau Z. Sun et al.
46. Centimeter-resolution 4D dynamics of retrogressive thaw slumps from repeat UAV photogrammetry on the Tibetan Plateau S. Gao et al.
47. Future and present susceptibility to thermokarst hazards in the Northern Hemisphere using an interpretable CNN method Y. Yang et al.
48. Impact of freeze-thaw on landslide activity under diverse topographies using geospatial data mining: Insights from Qilian Permafrost Region, Tibetan Plateau Y. Yang et al.
49. Quantifying the effect of a retrogressive thaw slump on soil freeze–thaw erosion in permafrost regions on the Qinghai–Tibet Plateau, China C. Jiao et al.
50. Multi-Source Remote Sensing Data-Driven Susceptibility Mapping of Retrogressive Thaw Slumps in the Yangtze River Source Region Y. Tian et al.
51. Detecting large-scale landslides in high-altitude permafrost region along the Qinghai-Tibet engineering corridor using InSAR and slope unit-based clustering J. Li et al.
52. High-resolution assessment of retrogressive thaw slump susceptibility in the Qinghai-Tibet Engineering Corridor G. Yin et al.
53. Quantifying freeze-thaw erosion dynamics in retrogressive thaw slumps: integrating geophysical and experimental approaches C. Jiao et al.
54. Potential of Multi-temporal InSAR for Detecting Retrogressive Thaw Slumps: A Case of the Beiluhe Region of the Tibetan Plateau Z. Jiao et al.
55. Assessment of freeze-thaw erosion by retrogressive thaw slump on the Qinghai-Tibet Plateau combined with geophysical methods C. Jiao et al.
56. Collapse–subsidence retrogressive thaw slumps in degrading permafrost: multi-source insights from the Northeastern Qinghai–Tibet Plateau S. Qi et al.
57. Establishing a robust area-to-volume scaling for Qinghai-Tibetan Plateau Retrogressive Thaw Slumps: A key tool for quantifying mass wasting and carbon release induced by permafrost degradation J. Ma et al.
58. Retrievals and simulations of terrestrial water storage changes and runoff over the Tibetan Plateau: Challenges and opportunities X. Li et al.
59. InSAR Deformation Analysis and Response Mechanism of Retrogressive Thaw Slumps in Permafrost Region of the Qinghai–Tibet Engineering Corridor Y. Chi et al.