Aijun Shi
Impact in
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- Air Quality and Health Impacts
- Atmospheric Science top 5%
- Atmospheric chemistry and aerosols
- Atmospheric Ozone and Climate
Papers in ⓘ
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- Air Quality and Health Impacts 17
- Indoor Air Quality and Microbial Exposure 3
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- Atmospheric chemistry and aerosols 14
- Co-authors
- Xiao Yan (5 shared papers)Teng Nie (2 shared papers)Rui Zhang (2 shared papers)Jing Yan (2 shared papers)Lei Nie (7 shared papers)Bin Dai (1 shared paper)Na Zhou (1 shared paper)Hongwei Chen (1 shared paper)
- Journals
- Atmosphere (2 papers)Environmental Science and Pollution Research (2 papers)Atmospheric Environment (2 papers)Analytical Methods (1 paper)Journal of Industrial and Engineering Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Aijun Shi
25 papers receiving 516 citations
Peers
Comparison fields: 5 of 69
- Health, Toxicology and Mutagenesis 314
- Atmospheric Science 291
- Environmental Engineering 168
- Automotive Engineering 68
- Process Chemistry and Technology 14
Countries citing papers authored by Aijun Shi
This map shows the geographic impact of Aijun Shi'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 Aijun Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aijun Shi more than expected).
Fields of papers citing papers by Aijun Shi
This network shows the impact of papers produced by Aijun Shi. 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 Aijun Shi. The network helps show where Aijun Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Aijun Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 145 | |
| 2 | 2013 | 75 | |
| 3 | 2021 | 49 | |
| 4 | 2019 | 43 | |
| 5 | 2021 | 39 | |
| 6 | 2020 | 30 | |
| 7 | 2020 | 23 | |
| 8 | 2022 | 20 | |
| 9 | 2022 | 15 | |
| 10 | 2020 | 14 | |
| 11 | 2019 | 12 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2018 | 8 | |
| 15 | 2017 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2017 | 5 | |
| 18 | 2016 | 5 | |
| 19 | 2013 | 4 | |
| 20 | 2020 | 3 |
About Aijun Shi
Aijun Shi is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Environmental Engineering, Automotive Engineering and Process Chemistry and Technology, having authored 27 papers that have together received 532 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (17 papers), Atmospheric chemistry and aerosols (14 papers), Air Quality Monitoring and Forecasting (9 papers), Vehicle emissions and performance (6 papers), Indoor Air Quality and Microbial Exposure (3 papers), Catalytic Processes in Materials Science (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Atmospheric aerosols and clouds (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (314 citations), Atmospheric Science (291 citations), Environmental Engineering (168 citations), Automotive Engineering (68 citations) and Process Chemistry and Technology (14 citations). Aijun Shi has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Xiao Yan, Teng Nie, Rui Zhang, Jing Yan, Lei Nie, Bin Dai, Na Zhou, Hongwei Chen, Ping Liu and Cunhua Ma. Their work appears in journals such as Atmosphere, Environmental Science and Pollution Research, Atmospheric Environment, Analytical Methods and Journal of Industrial and Engineering Chemistry.
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.