Yan Yu

2.9k total citations
66 papers, 2.0k citations indexed

About

Yan Yu is a scholar working on Global and Planetary Change, Atmospheric Science and Earth-Surface Processes. According to data from OpenAlex, Yan Yu has authored 66 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Global and Planetary Change, 28 papers in Atmospheric Science and 11 papers in Earth-Surface Processes. Recurrent topics in Yan Yu's work include Atmospheric aerosols and clouds (20 papers), Climate variability and models (19 papers) and Atmospheric chemistry and aerosols (15 papers). Yan Yu is often cited by papers focused on Atmospheric aerosols and clouds (20 papers), Climate variability and models (19 papers) and Atmospheric chemistry and aerosols (15 papers). Yan Yu collaborates with scholars based in China, United States and Saudi Arabia. Yan Yu's co-authors include Michael Notaro, О. В. Калашникова, M. J. Garay, Xi Xiao, Jiaping Wu, Susana Agustı́, Carlos M. Duarte, Ke Li, Fuyao Wang and Paul Ginoux 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

Yan Yu

62 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Yu China 23 1.3k 973 392 340 263 66 2.0k
Martinho Marta‐Almeida Portugal 24 716 0.5× 456 0.5× 760 1.9× 123 0.4× 286 1.1× 55 1.7k
Xiankun Yang China 22 795 0.6× 392 0.4× 419 1.1× 109 0.3× 456 1.7× 74 1.8k
Qianguo Xing China 23 465 0.4× 305 0.3× 1.4k 3.6× 72 0.2× 577 2.2× 97 2.2k
José A. Juanes Spain 29 668 0.5× 126 0.1× 1.1k 2.9× 170 0.5× 919 3.5× 122 2.4k
Keith Weston United Kingdom 29 723 0.5× 896 0.9× 791 2.0× 45 0.1× 466 1.8× 71 2.1k
Joxe Mikel Garmendia Spain 22 739 0.6× 239 0.2× 764 1.9× 41 0.1× 754 2.9× 58 1.8k
Bingjun Liu China 26 1.1k 0.8× 516 0.5× 172 0.4× 97 0.3× 186 0.7× 102 1.6k
Bijeesh Kozhikkodan Veettil Vietnam 19 349 0.3× 447 0.5× 142 0.4× 94 0.3× 517 2.0× 85 1.2k
Raymond D. Ward Estonia 25 464 0.3× 142 0.1× 310 0.8× 259 0.8× 1.2k 4.5× 61 1.9k

Countries citing papers authored by Yan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Yu. A scholar is included among the top collaborators of Yan Yu 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 Yan Yu. Yan Yu 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
1.
Sun, Jing, Kun Yang, Xiaogang He, et al.. (2025). Causal pathways underlying global soil moisture–precipitation coupling. Nature Communications. 16(1). 8935–8935.
2.
Pouyaei, Arman, Paul Ginoux, D. S. Ward, Yan Yu, & Larry W. Horowitz. (2025). Implementation of Dynamic Fire Injection Height in GFDL's Atmospheric Model (AM4.0): Impacts on Aerosol Profiles and Radiation. Journal of Advances in Modeling Earth Systems. 17(4).
3.
Yu, Yan, et al.. (2025). Convective potential and fuel availability complement near-surface weather in regulating global wildfire activity. Science Advances. 11(8). eadp7765–eadp7765. 2 indexed citations
4.
Yu, Yan, et al.. (2025). Rise in dust emissions from burned landscapes primarily driven by small fires. Nature Geoscience. 18(7). 586–592. 1 indexed citations
5.
Shevliakova, Elena, Sergey Malyshev, Isabel Martínez, et al.. (2024). The Land Component LM4.1 of the GFDL Earth System Model ESM4.1: Model Description and Characteristics of Land Surface Climate and Carbon Cycling in the Historical Simulation. Journal of Advances in Modeling Earth Systems. 16(5). 13 indexed citations
6.
Yu, Yan, Jiafu Mao, Stan D. Wullschleger, et al.. (2022). Machine learning–based observation-constrained projections reveal elevated global socioeconomic risks from wildfire. Nature Communications. 13(1). 1250–1250. 53 indexed citations
7.
Yu, Yan & Paul Ginoux. (2022). Enhanced dust emission following large wildfires due to vegetation disturbance. Nature Geoscience. 15(11). 878–884. 51 indexed citations
8.
Martínez, Isabel, Elena Shevliakova, Sergey Malyshev, et al.. (2022). Abrupt loss and uncertain recovery from fires of Amazon forests under low climate mitigation scenarios. Proceedings of the National Academy of Sciences. 119(52). e2203200119–e2203200119. 16 indexed citations
9.
Li, Ming, et al.. (2021). Virtual Water Trade in the Yellow River Economic Belt: A Multi-Regional Input-Output Model. Water. 13(6). 748–748. 17 indexed citations
10.
Yu, Yan, О. В. Калашникова, M. J. Garay, et al.. (2021). A global analysis of diurnal variability in dust and dust mixture using CATS observations. Atmospheric chemistry and physics. 21(3). 1427–1447. 19 indexed citations
11.
Yu, Yan, О. В. Калашникова, M. J. Garay, et al.. (2020). Disproving the Bodélé Depression as the Primary Source of Dust Fertilizing the Amazon Rainforest. Geophysical Research Letters. 47(13). 22 indexed citations
12.
Garay, M. J., Marcin Witek, Ralph A. Kahn, et al.. (2020). Introducing the 4.4 km spatial resolution Multi-Angle Imaging SpectroRadiometer (MISR) aerosol product. Atmospheric measurement techniques. 13(2). 593–628. 100 indexed citations
13.
Yu, Yan & Michael Notaro. (2020). Observed land surface feedbacks on the Australian monsoon system. Climate Dynamics. 54(5-6). 3021–3040. 17 indexed citations
14.
Yu, Yan, Jiafu Mao, Peter Thornton, et al.. (2020). Quantifying the drivers and predictability of seasonal changes in African fire. Nature Communications. 11(1). 2893–2893. 25 indexed citations
15.
Yu, Yan, О. В. Калашникова, M. J. Garay, & Michael Notaro. (2019). Climatology of Asian dust activation and transport potential based on MISR satellite observations and trajectory analysis. Atmospheric chemistry and physics. 19(1). 363–378. 48 indexed citations
16.
Yu, Yan, О. В. Калашникова, M. J. Garay, et al.. (2019). A Global Analysis of Dust Diurnal Variability Using CATS Observations. 2 indexed citations
17.
Lee, Huikyo, M. J. Garay, О. В. Калашникова, Yan Yu, & Peter B. Gibson. (2018). How Long should the MISR Record Be when Evaluating Aerosol Optical Depth Climatology in Climate Models?. Remote Sensing. 10(9). 1326–1326. 12 indexed citations
18.
Yu, Yan, О. В. Калашникова, M. J. Garay, Huikyo Lee, & Michael Notaro. (2018). Identification and Characterization of Dust Source Regions Across North Africa and the Middle East Using MISR Satellite Observations. Geophysical Research Letters. 45(13). 6690–6701. 70 indexed citations
19.
Yu, Yan, Defu Liu, Zhengjian Yang, et al.. (2017). [Vertical Stratification Characteristics of Dissolved Oxygen and Phytoplankton in Thousand-Island Lake and Their Influencing Factors].. PubMed. 38(4). 1393–1402. 9 indexed citations
20.
Yu, Yan, Michael Notaro, Fuyao Wang, et al.. (2017). Observed positive vegetation-rainfall feedbacks in the Sahel dominated by a moisture recycling mechanism. Nature Communications. 8(1). 1873–1873. 61 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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