Kan Yi
Impact in
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- Air Quality and Health Impacts
- Climate Change and Health Impacts
- Environmental Engineering top 5%
- Air Quality Monitoring and Forecasting
- Environmental Impact and Sustainability
Papers in
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- Atmospheric chemistry and aerosols 17
- Atmospheric Ozone and Climate 5
-
- Air Quality and Health Impacts 14
- Climate Change and Health Impacts 3
- Co-authors
- Shu Tao (20 shared papers)Junfeng Liu (17 shared papers)Haozhe Yang (11 shared papers)Wenxin Liu (1 shared paper)ShuangYu Yu (1 shared paper)Weijian Liu (1 shared paper)Ming Zhou (1 shared paper)Xuejun Wang (8 shared papers)
- Journals
- Environmental Pollution (4 papers)Atmospheric Environment (3 papers)Atmospheric chemistry and physics (3 papers)Environment International (2 papers)One Earth (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kan Yi
24 papers receiving 888 citations
Peers
Comparison fields: 5 of 83
- Health, Toxicology and Mutagenesis 564
- Environmental Engineering 368
- Atmospheric Science 378
- Automotive Engineering 128
- Economics and Econometrics 210
Countries citing papers authored by Kan Yi
This map shows the geographic impact of Kan Yi'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 Kan Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kan Yi more than expected).
Fields of papers citing papers by Kan Yi
This network shows the impact of papers produced by Kan Yi. 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 Kan Yi. The network helps show where Kan Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Kan Yi, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 171 | |
| 2 | 2018 | 106 | |
| 3 | 2019 | 97 | |
| 4 | 2020 | 86 | |
| 5 | 2018 | 61 | |
| 6 | 2019 | 58 | |
| 7 | 2020 | 52 | |
| 8 | 2018 | 37 | |
| 9 | 2019 | 31 | |
| 10 | 2016 | 31 | |
| 11 | 2019 | 23 | |
| 12 | 2019 | 19 | |
| 13 | 2021 | 19 | |
| 14 | 2018 | 18 | |
| 15 | 2021 | 16 | |
| 16 | 2021 | 15 | |
| 17 | 2020 | 14 | |
| 18 | 2017 | 13 | |
| 19 | 2017 | 12 | |
| 20 | 2020 | 9 |
About Kan Yi
Kan Yi is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis, Global and Planetary Change, Environmental Engineering and Automotive Engineering, having authored 26 papers that have together received 903 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (17 papers), Air Quality and Health Impacts (14 papers), Atmospheric Ozone and Climate (5 papers), Vehicle emissions and performance (4 papers), Climate variability and models (4 papers), Air Quality Monitoring and Forecasting (4 papers), Atmospheric and Environmental Gas Dynamics (4 papers) and Climate Change and Health Impacts (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (564 citations), Environmental Engineering (368 citations), Atmospheric Science (378 citations), Automotive Engineering (128 citations) and Economics and Econometrics (210 citations). Kan Yi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shu Tao, Junfeng Liu, Haozhe Yang, Wenxin Liu, ShuangYu Yu, Weijian Liu, Ming Zhou, Xuejun Wang, Jing Meng and Songlin Xiang. Their work appears in journals such as Environmental Pollution, Atmospheric Environment, Atmospheric chemistry and physics, Environment International and One Earth.
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.