Yan Yin

8.5k total citations · 1 hit paper
263 papers, 6.1k citations indexed

About

Yan Yin is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Yan Yin has authored 263 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 194 papers in Atmospheric Science, 168 papers in Global and Planetary Change and 66 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Yan Yin's work include Atmospheric chemistry and aerosols (159 papers), Atmospheric aerosols and clouds (152 papers) and Air Quality and Health Impacts (64 papers). Yan Yin is often cited by papers focused on Atmospheric chemistry and aerosols (159 papers), Atmospheric aerosols and clouds (152 papers) and Air Quality and Health Impacts (64 papers). Yan Yin collaborates with scholars based in China, United States and United Kingdom. Yan Yin's co-authors include Zev Levin, Chao Liu, Yele Sun, Qi Jiang, Tamir G. Reisin, Kui Chen, Kanike Raghavendra Kumar, Zifa Wang, Jie Li and Pingqing Fu and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Geophysical Research Atmospheres and Environmental Science & Technology.

In The Last Decade

Yan Yin

255 papers receiving 6.0k citations

Hit Papers

Investigation of the sources and evolution processes of s... 2014 2026 2018 2022 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Yin China 39 4.9k 3.8k 2.5k 771 403 263 6.1k
Daizhou Zhang China 42 4.2k 0.9× 2.8k 0.7× 2.7k 1.1× 745 1.0× 499 1.2× 226 6.5k
Hong Wang China 37 2.8k 0.6× 2.3k 0.6× 1.3k 0.5× 748 1.0× 160 0.4× 223 4.5k
U.C. Dumka India 38 3.6k 0.7× 2.9k 0.8× 2.0k 0.8× 697 0.9× 206 0.5× 104 4.7k
Don Collins United States 41 6.0k 1.2× 3.5k 0.9× 3.6k 1.5× 734 1.0× 131 0.3× 123 6.9k
Yaqiang Wang China 45 5.4k 1.1× 4.2k 1.1× 3.0k 1.2× 1.6k 2.1× 290 0.7× 194 6.7k
Neng‐Huei Lin Taiwan 38 3.1k 0.6× 2.4k 0.6× 2.2k 0.9× 618 0.8× 120 0.3× 180 4.4k
Zhengqiang Li China 40 4.5k 0.9× 4.3k 1.1× 1.8k 0.7× 1.4k 1.8× 73 0.2× 360 6.4k
Tianliang Zhao China 36 3.6k 0.7× 2.9k 0.8× 1.9k 0.8× 827 1.1× 352 0.9× 185 4.5k

Countries citing papers authored by Yan Yin

Since Specialization
Citations

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

Fields of papers citing papers by Yan Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Yin. A scholar is included among the top collaborators of Yan Yin 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 Yin. Yan Yin 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
2.
Wang, Shiyuan, Jiaoyue Wang, Fengming Xi, et al.. (2025). Variations in wetland soil labile organic carbon fractions and microbial characteristics along urban–rural gradients in Shenyang city. Scientific Reports. 15(1). 26243–26243.
3.
Lin, Shan, et al.. (2025). Plastomes of Seven Coelogyne s.l. (Arethuseae, Orchidaceae) Species: Comparative Analysis and Phylogenetic Relationships. Horticulturae. 11(2). 144–144. 2 indexed citations
4.
Liu, Liping, Jian Guo, Yu Jia, et al.. (2025). Oxidation behavior of SiC in dissociated oxygen environments. Acta Materialia. 286. 120745–120745. 7 indexed citations
5.
Ma, Dalai, et al.. (2025). How does carbon emission efficiency vary in Chinese cities?- taking 108 cities along the Yangtze river economic belt as an example. Renewable Energy. 256. 124208–124208. 1 indexed citations
6.
Yin, Yan. (2024). Construction and Analysis of Disease Networks Based on Multi-omics Data. 4(6). 395–399. 1 indexed citations
7.
Yang, Jing, Yan Yin, Chunsong Lu, et al.. (2024). On the Relationship Between Condensed Water Content and Liquid‐Ice Mixing Homogeneity in Mixed‐Phase Stratiform Clouds. Geophysical Research Letters. 51(16). 1 indexed citations
8.
Zhang, Lei, Xin Jin, Yan Yin, et al.. (2024). Study of boundary layer parameterization simulation uncertainties of sand-dust storm windfield using high-resolution three-dimensional Doppler wind lidar data. Atmospheric Research. 306. 107456–107456. 2 indexed citations
9.
Chen, Jinghua, Xiaoqing Wu, Yan Yin, et al.. (2024). Effects of the Indian summer monsoon on the cloud characteristics over the Eastern Tibetan Plateau: a simulation study. Climate Dynamics. 1 indexed citations
10.
Liu, Ankang, Honglei Wang, Yan Yin, et al.. (2023). Observations of atmospheric new particle formation impacts on cloud condensation nuclei in summer at Mt.Tian. Atmospheric Environment. 311. 120002–120002. 1 indexed citations
11.
Yang, Jing, Tianqi Yang, Xiaoqin Jing, et al.. (2023). Vertical transport of water in isolated convective clouds in the interior western United States as observed using airborne in-situ measurements. Atmospheric Research. 285. 106629–106629. 5 indexed citations
12.
Yang, Jing, Yan Yin, Bo Zhang, et al.. (2023). Quantifying the spatial inhomogeneity of ice concentration in mixed-phase stratiform cloud using airborne observation. Atmospheric Research. 298. 107153–107153. 5 indexed citations
13.
Wang, Honglei, et al.. (2023). Quantifying the pollution characteristics of chemical components in PM2.5 in the North China Plain, China: Spatiotemporal variation and health risk. Atmospheric Environment. 307. 119860–119860. 15 indexed citations
14.
Xu, Xiaomei, Lei Liu, Zhenxing Li, et al.. (2022). Characterization of odor-contributing volatile in Capsicum chinense ‘JT-1’fruits during development and transcriptome analysis of key fruit-aroma formation periods. Scientia Horticulturae. 309. 111691–111691. 18 indexed citations
15.
16.
Jia, Hailing, Xiaoyan Ma, Fangqun Yu, Yangang Liu, & Yan Yin. (2019). Distinct Impacts of Increased Aerosols on Cloud Droplet Number Concentration of Stratus/Stratocumulus and Cumulus. Geophysical Research Letters. 46(22). 13517–13525. 23 indexed citations
17.
Jia, Hailing, et al.. (2019). Is positive correlation between cloud droplet effective radius and aerosol optical depth over land due to retrieval artifacts or real physical processes?. Atmospheric chemistry and physics. 19(13). 8879–8896. 35 indexed citations
18.
Liu, Chao, et al.. (2018). Numerical simulation of raindrop scattering for C-band dual-polarization Doppler weather radar parameters. Journal of Quantitative Spectroscopy and Radiative Transfer. 213. 133–142. 5 indexed citations
19.
Yin, Yan, et al.. (2015). Numerical study of natural sea salt aerosol and its radiative effects on climate and sea surface temperature over East Asia. Atmospheric Environment. 106. 110–119. 9 indexed citations
20.
Chen, Kui, Yan Yin, Shaofei Kong, et al.. (2014). Size-resolved chemical composition of atmospheric particles during a straw burning period at Mt. Huang (the Yellow Mountain) of China. Atmospheric Environment. 84. 380–389. 29 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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