Kun Yang

31.4k total citations · 11 hit papers
494 papers, 21.7k citations indexed

About

Kun Yang is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Kun Yang has authored 494 papers receiving a total of 21.7k indexed citations (citations by other indexed papers that have themselves been cited), including 298 papers in Atmospheric Science, 248 papers in Global and Planetary Change and 124 papers in Environmental Engineering. Recurrent topics in Kun Yang's work include Cryospheric studies and observations (166 papers), Climate variability and models (133 papers) and Meteorological Phenomena and Simulations (103 papers). Kun Yang is often cited by papers focused on Cryospheric studies and observations (166 papers), Climate variability and models (133 papers) and Meteorological Phenomena and Simulations (103 papers). Kun Yang collaborates with scholars based in China, United States and Japan. Kun Yang's co-authors include Jun Qin, Wenjun Tang, Yingying Chen, Toshio Koike, Hui Lü, Xin Li, Changgui Lin, Jie He, Lei Wang and Deliang Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Kun Yang

461 papers receiving 21.2k citations

Hit Papers

The first high-resolution met... 2009 2026 2014 2020 2020 2013 2009 2015 2011 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The first high-resolution meteorological forcing dataset for land process studies over China
    2020 1.0k citations Jie He, Kun Yang et al. Scientific Data profile →
  2. Recent climate changes over the Tibetan Plateau and their impacts on energy and water cycle: A review
    2013 938 citations Kun Yang, Jun Qin et al. profile →
  3. On downward shortwave and longwave radiations over high altitude regions: Observation and modeling in the Tibetan Plateau
    2009 553 citations Kun Yang, Jie He et al. profile →
  4. Evaporative cooling over the Tibetan Plateau induced by vegetation growth
    2015 473 citations Kun Yang et al. profile →
  5. Improving land surface temperature modeling for dry land of China
    2011 442 citations Yingying Chen, Kun Yang et al. profile →
  6. Response of Tibetan Plateau lakes to climate change: Trends, patterns, and mechanisms
    2020 407 citations Kun Yang et al. profile →
  7. Lake volume and groundwater storage variations in Tibetan Plateau's endorheic basin
    2017 371 citations Kun Yang et al. profile →
  8. Regional differences of lake evolution across China during 1960s–2015 and its natural and anthropogenic causes
    2018 339 citations Kun Yang et al. Remote Sensing of Environment profile →
  9. Climate change, vegetation history, and landscape responses on the Tibetan Plateau during the Holocene: A comprehensive review
    2020 255 citations Fahu Chen, Lingxin Huang et al. profile →
  10. TPHiPr: a long-term (1979–2020) high-accuracy precipitation dataset (1∕30°, daily) for the Third Pole region based on high-resolution atmospheric modeling and dense observations
    2023 126 citations Kun Yang, Xu Zhou et al. profile →
  11. Widespread societal and ecological impacts from projected Tibetan Plateau lake expansion
    2024 59 citations Kun Yang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Yang China 79 13.8k 12.4k 4.7k 4.4k 1.8k 494 21.7k
Marc F. P. Bierkens Netherlands 73 8.3k 0.6× 9.8k 0.8× 6.1k 1.3× 12.2k 2.8× 2.1k 1.2× 296 25.8k
Zhongbo Su Netherlands 60 5.6k 0.4× 8.1k 0.7× 5.9k 1.2× 3.1k 0.7× 2.5k 1.4× 428 13.7k
Justin Sheffield United States 77 8.5k 0.6× 20.0k 1.6× 4.3k 0.9× 9.6k 2.2× 2.3k 1.3× 225 27.4k
Pierre Gentine United States 62 5.9k 0.4× 11.7k 0.9× 3.2k 0.7× 2.7k 0.6× 2.4k 1.3× 270 15.2k
Diego G. Miralles Belgium 63 7.8k 0.6× 14.7k 1.2× 4.3k 0.9× 6.3k 1.4× 2.1k 1.2× 165 19.5k
L. Ruby Leung United States 89 19.9k 1.4× 23.4k 1.9× 3.0k 0.6× 5.7k 1.3× 1.1k 0.6× 636 29.4k
Shunlin Liang United States 88 10.9k 0.8× 18.2k 1.5× 10.5k 2.2× 2.7k 0.6× 11.3k 6.4× 548 29.0k
Amir AghaKouchak United States 83 9.0k 0.7× 18.1k 1.5× 2.9k 0.6× 6.1k 1.4× 1.4k 0.8× 295 24.6k
Yang Hong United States 79 18.0k 1.3× 18.2k 1.5× 5.5k 1.2× 6.8k 1.5× 1.5k 0.8× 481 28.6k
Martha C. Anderson United States 79 5.3k 0.4× 15.9k 1.3× 8.5k 1.8× 4.2k 1.0× 6.0k 3.4× 344 22.8k

Countries citing papers authored by Kun Yang

Since Specialization
Citations

This map shows the geographic impact of Kun Yang'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 Kun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Yang more than expected).

Fields of papers citing papers by Kun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun Yang. 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 Kun Yang. The network helps show where Kun Yang may publish in the future.

Co-authorship network of co-authors of Kun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Yang. A scholar is included among the top collaborators of Kun Yang 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 Kun Yang. Kun Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Xing, Zanpin, Lin Zhao, Gabriëlle De Lannoy, et al.. (2024). Retrieval of 1 km surface soil moisture from Sentinel-1 over bare soil and grassland on the Qinghai-Tibetan Plateau. Remote Sensing of Environment. 318. 114563–114563. 4 indexed citations
4.
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Wang, Guangyu, et al.. (2024). County land use carbon emission and scenario prediction in Mianyang Science and Technology City New District, Sichuan Province, China. Scientific Reports. 14(1). 9310–9310. 4 indexed citations
6.
Wu, Tong, et al.. (2024). Chemical ethics practices in HEBUST of China. Chemistry Teacher International. 6(4). 431–443.
7.
Dong, Chen, Kun Yang, & Chun Guo. (2024). The Relationship between Built Environment Characteristics and Metro Stations Pedestrian Catchment Areas. Journal of Advanced Transportation. 2024(1). 1 indexed citations
8.
Shi, Lingfei, Xianhu Wei, Kun Yang, & Chen Gong. (2024). A few-shot oil spill segmentation network guided by multi-scale feature similarity modeling. Frontiers in Marine Science. 11. 2 indexed citations
9.
Peng, Zhiqing, Tianjie Zhao, Jiancheng Shi, et al.. (2023). First mapping of polarization-dependent vegetation optical depth and soil moisture from SMAP L-band radiometry. Remote Sensing of Environment. 302. 113970–113970. 12 indexed citations
10.
Zhao, Long, Kun Yang, Lisheng Song, et al.. (2023). Uncertainty Quantification of Satellite Soil Moisture Retrieved Precipitation in the Central Tibetan Plateau. Remote Sensing. 15(10). 2600–2600. 3 indexed citations
11.
Lü, Hui, et al.. (2023). Projection of China’s future runoff based on the CMIP6 mid-high warming scenarios. Science China Earth Sciences. 66(3). 528–546. 39 indexed citations
12.
Huang, Lingxin, Jie Chen, Kun Yang, et al.. (2023). The northern boundary of the Asian summer monsoon and division of westerlies and monsoon regimes over the Tibetan Plateau in present-day. Science China Earth Sciences. 66(4). 882–893. 43 indexed citations
13.
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He, Qing, Hui Lü, Kun Yang, Long Zhao, & Mijun Zou. (2023). Benefit of incorporating GLASS remote sensing vegetation products in improving Noah-MP land surface temperature simulations on the Tibetan Plateau. SHILAP Revista de lepidopterología. 9. 100115–100115. 2 indexed citations
15.
Lü, Hui, et al.. (2023). Assessment of SMAP and AMSR2 freeze/thaw products over Russia using in situ measurements. Remote Sensing Letters. 14(2). 176–185. 1 indexed citations
16.
Li, Yan, Ru Xu, Kun Yang, et al.. (2022). Contribution of Tibetan Plateau ecosystems to local and remote precipitation through moisture recycling. Global Change Biology. 29(3). 702–718. 30 indexed citations
17.
He, Jie, Kun Yang, Wenjun Tang, et al.. (2020). The first high-resolution meteorological forcing dataset for land process studies over China. Scientific Data. 7(1). 25–25. 1018 indexed citations breakdown →
18.
Lü, Hui, Donghai Zheng, Kun Yang, & Fan Yang. (2020). Last-decade progress in understanding and modeling the land surface processes on the Tibetan Plateau. Hydrology and earth system sciences. 24(12). 5745–5758. 35 indexed citations
19.
Li, Jinping, et al.. (2018). Time-Series Analysis of Land Subsidence in Kunming. 295–298. 2 indexed citations
20.
Lü, Hui, et al.. (2018). Assessment of Runoff Components Simulated by GLDAS against UNH–GRDC Dataset at Global and Hemispheric Scales. Water. 10(8). 969–969. 15 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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