152 citations as recorded by crossref.

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6. Analysis of Ice Phenology of Middle and Large Lakes on the Tibetan Plateau L. Sun et al. https://doi.org/10.3390/s23031661
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8. Formation of snow cover trends in October over the Tibetan plateau during 1980–2019 Z. Chen et al. https://doi.org/10.1007/s00382-025-07677-w
9. Increasing Selin Co Lake Area in the Tibet Plateau with Its Moisture Cycle G. Wang et al. https://doi.org/10.3390/su17052024
10. Near-Global Atmospheric Responses to Observed Springtime Tibetan Plateau Snow Anomalies S. Liu et al. https://doi.org/10.1175/JCLI-D-19-0229.1
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13. Snow Water Equivalent Monitoring—A Review of Large-Scale Remote Sensing Applications S. Schilling et al. https://doi.org/10.3390/rs16061085
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20. Threshold-governed insulating and cooling effects of snow cover on alpine permafrost: evidence from the Qinghai–Tibet Plateau Y. Xiao et al. https://doi.org/10.1016/j.agrformet.2025.110802
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23. Reconstructing Long-Term 500-m Snow-Cover Frequency Over the Third Pole Using a Widening Threshold Constrained Dynamic Time Warping Fusion Approach Y. Li et al. https://doi.org/10.1109/TGRS.2026.3710466
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25. Estimation of seasonal precipitation memory curves for major rivers in the Tibetan Plateau based on GRACE satellites data H. Gu et al. https://doi.org/10.1016/j.ejrh.2024.101942
26. Impact of Climate Change on the Hydrological Regime of the Yarkant River Basin, China: An Assessment Using Three SSP Scenarios of CMIP6 GCMs Y. Xiang et al. https://doi.org/10.3390/rs14010115
27. Evaluation and blending of ATMS and AMSR2 snow water equivalent retrievals over the conterminous United States Y. Gan et al. https://doi.org/10.1016/j.rse.2020.112280
28. An Approach to Improve the Spatial Resolution and Accuracy of AMSR2 Passive Microwave Snow Depth Product Using Machine Learning in Northeast China Y. Wei et al. https://doi.org/10.3390/rs14061480
29. The diverse influence of topography on snow distribution across different time periods J. ZHU et al. https://doi.org/10.1016/j.accre.2026.06.035
30. Analysis of the spatiotemporal dynamics and driving factors of ecosystem quality in Inner Mongolia from 2005 to 2020 M. Li et al. https://doi.org/10.1016/j.eti.2024.103686
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32. Passive Microwave Remote Sensing of Snow Depth: Techniques, Challenges and Future Directions S. Tanniru & R. Ramsankaran https://doi.org/10.3390/rs15041052
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34. Evaluation of Historical Snow Cover over the Tibetan Plateau in CMIP6 F. Liu et al. https://doi.org/10.1007/s00376-024-4212-9
35. An Assessment and Error Analysis of MOD10A1 Snow Product Using Landsat and Ground Observations Over China During 2000–2016 C. Liu et al. https://doi.org/10.1109/JSTARS.2020.2983550
36. Satellite Microwave Radiometry for the Observation of Land Surfaces: A General Review C. Vittucci & M. Picchiani https://doi.org/10.3390/s26051638
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38. Uncertainty Characterization of Ground‐Based, Satellite, and Reanalysis Snow Depth Products Using Extended Triple Collocation D. Qiao et al. https://doi.org/10.1029/2021WR030895
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40. A Comprehensive Approach to Develop a Hydrological Model for the Simulation of All the Important Hydrological Components: The Case of the Three-River Headwater Region, China R. Mahmood & S. Jia https://doi.org/10.3390/w14182778
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43. Developing a composite daily snow cover extent record over the Tibetan Plateau from 1981 to 2016 using multisource data X. Chen et al. https://doi.org/10.1016/j.rse.2018.06.021
44. Topographical Impact on Snow Cover Distribution in the Trans-Himalayan Region of Ladakh, India S. Passang et al. https://doi.org/10.3390/geosciences12080311
45. The influence of Urmia Lake desiccation on an extreme snowfall event: A case study using the WRF-Lake model M. Rahimian et al. https://doi.org/10.1016/j.atmosres.2024.107327
46. A global drought dataset of standardized moisture anomaly index incorporating snow dynamics (SZIsnow) and its application in identifying large-scale drought events L. Tian et al. https://doi.org/10.5194/essd-14-2259-2022
47. Evaluation of CYGNSS Observations for Snow Properties, a Case Study in Tibetan Plateau, China W. Ma et al. https://doi.org/10.3390/rs14153772
48. MT-InSAR Unveils Dynamic Permafrost Disturbances in Hoh Xil (Kekexili) on the Tibetan Plateau Hinterland P. Lu et al. https://doi.org/10.1109/TGRS.2023.3253937
49. Microwave polarization characteristics of snow at 6.9 and 18.7 GHz: Estimating the water content of the snow layers C. Varotsos et al. https://doi.org/10.1016/j.jqsrt.2018.12.041
50. AMSR2 snow depth downscaling algorithm based on a multifactor approach over the Tibetan Plateau, China Y. Wang et al. https://doi.org/10.1016/j.rse.2019.111268
51. Snow Cover Response to Climatological Factors at the Beas River Basin of W. Himalayas from MODIS and ERA5 Datasets . Sunita et al. https://doi.org/10.3390/s23208387
52. Snow depth retrieval from microwave remote sensing by combining wavelet transform and machine learning models in Northern Xinjiang, China H. Hou et al. https://doi.org/10.1117/1.JRS.18.024517
53. Autumn snow expansion and spring divergence in Northeast China (2000–2020) Y. Xiao et al. https://doi.org/10.1016/j.accre.2025.11.004
54. Improved snow depth estimation on the Tibetan Plateau using AMSR2 and ensemble learning models Q. Gu et al. https://doi.org/10.1016/j.jag.2024.104102
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57. Snow depth and its variations over the Tibetan Plateau using CYGNSS data based on CatBoost machine learning H. Yu et al. https://doi.org/10.1016/j.asr.2026.07.016
58. Spatiotemporal Variability of Snow Parameters over Himalayan–Tibetan Region Utilizing ERA-5 Data D. Panicker et al. https://doi.org/10.1007/s12524-024-01830-4
59. Spatiotemporal Variation in Soil Wind Erosion in the Northern Slope of the Tianshan Mountains from 2000 to 2018 S. Wang & X. Xu https://doi.org/10.3390/land13101604
60. Full Title: Quantifying the ecological carrying capacity of alpine grasslands on the Qinghai-Tibet Plateau Y. Yang et al. https://doi.org/10.1016/j.ecolind.2022.108634
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62. Power Spectra’s Perspective on Meteorological Drivers of Snow Depth Multiscale Behavior over the Tibetan Plateau Y. Cao & L. Jiang https://doi.org/10.3390/land14040790
63. High-resolution snow water equivalent estimation derived from downscaled snow depth and non-constant snow density in Chinese Altai Mountains Z. Li et al. https://doi.org/10.1016/j.jhydrol.2025.133708
64. Spatiotemporal Changes in Snow Cover and Their Sustainability Implications in the Western Greater Khingan Mountains, Inner Mongolia Z. Zhang et al. https://doi.org/10.3390/su18105013
65. Ecosystem service evaluation and optimisation in the Shule River Basin, China D. Yue et al. https://doi.org/10.1016/j.catena.2022.106320
66. Sensitivity of soil freeze/thaw dynamics to environmental conditions at different spatial scales in the central Tibetan Plateau H. Jiang et al. https://doi.org/10.1016/j.scitotenv.2020.139261
67. Duration of the influence of snowmelt on land surface temperature and humidity after snowmelt on the Mongolian Plateau S. Zhen et al. https://doi.org/10.1016/j.scitotenv.2023.166433
68. Observational constraint on the future projection of temperature in winter over the Tibetan Plateau in CMIP6 models Y. Peng et al. https://doi.org/10.1088/1748-9326/ac541c
69. Improving snow simulation with more realistic vegetation parameters in a regional climate model in the Tianshan Mountains, Central Asia T. Yang et al. https://doi.org/10.1016/j.jhydrol.2020.125525
70. Improving Fractional Snow Cover Retrieval From Passive Microwave Data Using a Radiative Transfer Model and Machine Learning Method X. Xiao et al. https://doi.org/10.1109/TGRS.2021.3128524
71. Prevention capacity significantly reduced the livestock exposure to snow hazards across the Qinghai Plateau H. Ma et al. https://doi.org/10.1016/j.ijdrr.2024.104714
72. Snow cover detection in mid-latitude mountainous and polar regions using nighttime light data Y. Huang et al. https://doi.org/10.1016/j.rse.2021.112766
73. Study of the Relationship between High Mountain Asia Snow Cover and Drought and Flood in the Yangtze River Basin during 1980–2019 H. Zhou et al. https://doi.org/10.3390/rs14153588
74. Evaluation of snow depth and snow cover over the Tibetan Plateau in global reanalyses using in situ and satellite remote sensing observations Y. Orsolini et al. https://doi.org/10.5194/tc-13-2221-2019
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78. Investigating the ability of multiple reanalysis datasets to simulate snow depth variability over mainland China from 1981 to 2018 H. Zhang et al. https://doi.org/10.1175/JCLI-D-20-0804.1
79. Snow Depth Inversion Based on Simulated Pixel-Scale Ground Measurements Y. Ma et al. https://doi.org/10.1109/TGRS.2024.3401145
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117. Long-term trends and variability modes in extreme weather of New York City L. Belkhiri & N. Devineni https://doi.org/10.1016/j.uclim.2025.102647
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138. Attribution Analysis of Runoff in the Upper Reaches of Jinsha River, China L. Wang et al. https://doi.org/10.3390/w14172768
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