Junwei Song

79 total papers · 764 total citations
31 papers, 475 citations indexed

About

Junwei Song is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Global and Planetary Change. According to data from OpenAlex, Junwei Song has authored 31 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Atmospheric Science, 15 papers in Health, Toxicology and Mutagenesis and 7 papers in Global and Planetary Change. Recurrent topics in Junwei Song's work include Atmospheric chemistry and aerosols (23 papers), Atmospheric Ozone and Climate (16 papers) and Air Quality and Health Impacts (13 papers). Junwei Song is often cited by papers focused on Atmospheric chemistry and aerosols (23 papers), Atmospheric Ozone and Climate (16 papers) and Air Quality and Health Impacts (13 papers). Junwei Song collaborates with scholars based in Germany, China and France. Junwei Song's co-authors include Senchao Lai, Yingyi Zhang, Yan Zhao, Shan Wang, Tianli Song, Junyu Zheng, Pingqing Fu, Dingli Yue, Liuju Zhong and Zhiyong Xie and has published in prestigious journals such as Journal of the American Chemical Society, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Junwei Song

25 papers receiving 471 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Junwei Song 335 282 100 84 69 31 475
Ji‐Hyung Hong 291 0.9× 278 1.0× 101 1.0× 130 1.5× 142 2.1× 45 492
Lambert A. Doezema 301 0.9× 175 0.6× 83 0.8× 53 0.6× 209 3.0× 12 530
Liya Guo 200 0.6× 145 0.5× 67 0.7× 15 0.2× 107 1.6× 19 409
Ling Mu 204 0.6× 358 1.3× 61 0.6× 90 1.1× 35 0.5× 37 488
Xue Li 218 0.7× 136 0.5× 67 0.7× 18 0.2× 127 1.8× 30 427
Eui-Chan Jeon 236 0.7× 190 0.7× 122 1.2× 50 0.6× 83 1.2× 26 455
Haixu Zhang 207 0.6× 182 0.6× 67 0.7× 47 0.6× 31 0.4× 28 526
Noémi Utry 288 0.9× 221 0.8× 46 0.5× 73 0.9× 152 2.2× 20 404
Mita Das 259 0.8× 167 0.6× 84 0.8× 31 0.4× 150 2.2× 23 540
Shuyan Liu 323 1.0× 114 0.4× 134 1.3× 16 0.2× 242 3.5× 21 474

Countries citing papers authored by Junwei Song

Since Specialization
Citations

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

Fields of papers citing papers by Junwei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junwei Song

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

All Works

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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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