Yu Cai

505 total citations
21 papers, 327 citations indexed

About

Yu Cai is a scholar working on Atmospheric Science, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, Yu Cai has authored 21 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atmospheric Science, 6 papers in Water Science and Technology and 6 papers in Global and Planetary Change. Recurrent topics in Yu Cai's work include Cryospheric studies and observations (14 papers), Climate change and permafrost (13 papers) and Arctic and Antarctic ice dynamics (11 papers). Yu Cai is often cited by papers focused on Cryospheric studies and observations (14 papers), Climate change and permafrost (13 papers) and Arctic and Antarctic ice dynamics (11 papers). Yu Cai collaborates with scholars based in China, Iran and United States. Yu Cai's co-authors include Chang‐Qing Ke, Zheng Duan, Xiaoyi Shen, Hoonyol Lee, Xingong Li, Guoqing Zhang, Yao Xiao, Claude Duguay, Vahid Nourani and Xiaobing Zhou and has published in prestigious journals such as The Science of The Total Environment, Geophysical Research Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Yu Cai

18 papers receiving 309 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yu Cai China	11	240	82	52	38	34	21	327
Jordan P. Beamer United States	9	180 0.8×	93 1.1×	75 1.4×	95 2.5×	27 0.8×	13	291
Xinggang Ma China	8	133 0.6×	120 1.5×	95 1.8×	28 0.7×	65 1.9×	21	302
Mallik Mahmud Canada	13	340 1.4×	71 0.9×	26 0.5×	37 1.0×	40 1.2×	25	455
Sean Helfrich United States	8	491 2.0×	208 2.5×	70 1.3×	38 1.0×	46 1.4×	26	541
V. A. Zemtsov Russia	8	171 0.7×	44 0.5×	34 0.7×	32 0.8×	11 0.3×	30	254
Daniel Bannister United Kingdom	9	255 1.1×	202 2.5×	43 0.8×	16 0.4×	18 0.5×	14	309
Tingfeng Dou China	12	307 1.3×	173 2.1×	23 0.4×	21 0.6×	10 0.3×	40	358
Kai Rasmus Finland	7	104 0.4×	38 0.5×	48 0.9×	129 3.4×	25 0.7×	22	238
Kehan Yang United States	9	160 0.7×	209 2.5×	160 3.1×	43 1.1×	74 2.2×	14	354
Trygve Aspelien Norway	5	202 0.8×	152 1.9×	13 0.3×	48 1.3×	38 1.1×	7	253

Countries citing papers authored by Yu Cai

Since Specialization

Citations

This map shows the geographic impact of Yu Cai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yu Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Cai more than expected).

Fields of papers citing papers by Yu Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu Cai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yu Cai. The network helps show where Yu Cai may publish in the future.

Co-authorship network of co-authors of Yu Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Cai. A scholar is included among the top collaborators of Yu Cai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu Cai. Yu Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ke, Chang‐Qing, Yu Cai, Yao Xiao, et al.. (2025). Abrupt decline and subsequent recovery of extreme precipitation associated with Atmospheric Rivers in the Southeastern Tibetan Plateau. Atmospheric Research. 329. 108461–108461.

He, Zhihao, et al.. (2025). Evaluation of SWOT’s performance for river water level retrieval in the Yangtze River Basin. International Journal of Remote Sensing. 46(12). 4736–4763.

Wang, Jingming, et al.. (2024). Spatiotemporal change of lake shrinkage and its response to the unprecedented heat waves in the middle and lower Yangtze River Basin. International Journal of Remote Sensing. 45(18). 6138–6156. 1 indexed citations

Ke, Chang‐Qing, et al.. (2024). Widespread Decline of the Warm Season Snow Depth Over Arctic Sea Ice Revealed by Satellite Passive Microwave Measurements. International Journal of Climatology. 45(2). 1 indexed citations

Ke, Chang‐Qing, et al.. (2024). Monitoring Multi-Temporal Changes of Lakes on the Tibetan Plateau Using Multi-Source Remote Sensing Data from 1992 to 2019: A Case Study of Lake Zhari Namco. Journal of Earth Science. 35(5). 1679–1691. 2 indexed citations

Ke, Chang‐Qing, et al.. (2024). The Varied Role of Atmospheric Rivers in Arctic Snow Depth Variations. Geophysical Research Letters. 51(14). 1 indexed citations

Ke, Chang‐Qing, et al.. (2023). GEDI: A New LiDAR Altimetry to Obtain the Water Levels of More Lakes on the Tibetan Plateau. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 4024–4038. 5 indexed citations

Xiao, Yao, et al.. (2023). Glacier Retreating Analysis on the Southeastern Tibetan Plateau via Multisource Remote Sensing Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 2035–2049. 11 indexed citations

Ke, Chang‐Qing, et al.. (2023). Measuring glacier changes in the Tianshan Mountains over the past 20 years using Google Earth Engine and machine learning. Journal of Geographical Sciences. 33(9). 1939–1964. 8 indexed citations

10.

Cai, Yu, Claude Duguay, & Chang‐Qing Ke. (2022). A 41-year (1979–2019) passive-microwave-derived lake ice phenology data record of the Northern Hemisphere. Earth system science data. 14(7). 3329–3347. 17 indexed citations

11.

Cai, Yu, et al.. (2022). Continuous Karakoram Glacier Anomaly and Its Response to Climate Change during 2000–2021. Remote Sensing. 14(24). 6281–6281. 14 indexed citations

12.

Xiao, Yao, et al.. (2022). Estimating glacier mass balance in High Mountain Asia based on Moderate Resolution Imaging Spectroradiometer retrieved surface albedo from 2000 to 2020. International Journal of Climatology. 42(16). 9931–9949. 10 indexed citations

13.

Cai, Yu, et al.. (2022). What caused the spatial heterogeneity of lake ice phenology changes on the Tibetan Plateau?. The Science of The Total Environment. 836. 155517–155517. 18 indexed citations

14.

Xiao, Yao, et al.. (2022). What drives the decrease of glacier surface albedo in High Mountain Asia in the past two decades?. The Science of The Total Environment. 863. 160945–160945. 21 indexed citations

15.

Cai, Yu, Chang‐Qing Ke, & Xiaoyi Shen. (2020). Variations in water level, area and volume of Hongze Lake, China from 2003 to 2018. Journal of Great Lakes Research. 46(6). 1511–1520. 19 indexed citations

16.

Cai, Yu, Chang‐Qing Ke, Xingong Li, et al.. (2019). Variations of Lake Ice Phenology on the Tibetan Plateau From 2001 to 2017 Based on MODIS Data. Journal of Geophysical Research Atmospheres. 124(2). 825–843. 94 indexed citations

17.

Cai, Yu, et al.. (2019). MODIS-observed variations of lake ice phenology in Xinjiang, China. Climatic Change. 158(3-4). 575–592. 13 indexed citations

18.

Ke, Chang‐Qing, et al.. (2019). Identification of Alpine Glaciers in the Central Himalayas Using Fully Polarimetric L-Band SAR Data. IEEE Transactions on Geoscience and Remote Sensing. 58(1). 691–703. 13 indexed citations

19.

Cai, Yu, et al.. (2017). Monitoring ice variations in Qinghai Lake from 1979 to 2016 using passive microwave remote sensing data. The Science of The Total Environment. 607-608. 120–131. 72 indexed citations

20.

Cai, Yu. (2013). Influence of typical weather conditions on the airborne particulate matters in urban forests in northern China. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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