Junwei Song

786 citations
32 papers · 489 · h-index 12

Impact in

Papers in

Junwei Song

25 papers receiving 485 citations

Peers

Junwei Song
Comparison fields: 5 of 54
  • Health, Toxicology and Mutagenesis 286
  • Atmospheric Science 343
  • Automotive Engineering 87
  • Environmental Engineering 100
  • Environmental Chemistry 46
Replace Zechen Yu with:
Zechen Yu United States
Eric D. Stevenson United States
Lambert A. Doezema United States
Lijie Li United States
Qingcheng Xu China
C. R. Lonsdale United States
Elizabeth C. Ellis United States
Mika Vestenius Finland
James M. Brady United States
Yuhao Mao China
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Citations per year

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-authors

The 25 scholars most cited alongside Junwei Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junwei Song Line = papers co-authored together Junwei Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201778
2 201857
3 201849
4 201645
5 201845
6 201941
7 202134
8 201719
9 202217
10 202216
11 201714
12 202113
13 202211
14 20239
15 20237
16 20197
17 20225
18 20185
19 20244
20 20243

About Junwei Song

Junwei Song is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis, Global and Planetary Change, Environmental Engineering and Civil and Structural Engineering, having authored 32 papers that have together received 489 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (23 papers), Atmospheric Ozone and Climate (16 papers), Air Quality and Health Impacts (13 papers), Atmospheric aerosols and clouds (6 papers), Air Quality Monitoring and Forecasting (4 papers), Concrete and Cement Materials Research (3 papers), Innovative concrete reinforcement materials (2 papers) and Indoor Air Quality and Microbial Exposure (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (286 citations), Atmospheric Science (343 citations), Automotive Engineering (87 citations), Environmental Engineering (100 citations) and Environmental Chemistry (46 citations). Junwei Song has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Senchao Lai, Yingyi Zhang, Yan Zhao, Shan Wang, Pingqing Fu, Tianli Song, Junyu Zheng, Dingli Yue, Liuju Zhong and Manabu Shiraiwa. Their work appears in journals such as Atmospheric chemistry and physics, Environmental Science & Technology, Environmental Pollution, Buildings and The Science of The Total Environment.

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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