Kai Wu
Impact in
-
- Air Quality and Health Impacts
- Atmospheric Science top 2%
- Atmospheric chemistry and aerosols
- Atmospheric Ozone and Climate
Papers in
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- Atmospheric chemistry and aerosols 25
- Atmospheric Ozone and Climate 6
- Meteorological Phenomena and Simulations 4
-
- Air Quality and Health Impacts 19
- Co-authors
- Xianyu Yang (10 shared papers)Yaqiong Lü (6 shared papers)Xiaoling Zhang (9 shared papers)Haolin Wang (9 shared papers)Yiming Liu (6 shared papers)Shigong Wang (5 shared papers)Kun Wang (3 shared papers)Dean Chen (2 shared papers)
- Journals
- Atmospheric Environment (4 papers)Environmental Pollution (3 papers)Environmental Science and Pollution Research (3 papers)Atmospheric Research (3 papers)Atmospheric Pollution Research (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kai Wu
44 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 92
- Health, Toxicology and Mutagenesis 605
- Atmospheric Science 774
- Environmental Engineering 402
- Global and Planetary Change 310
- Automotive Engineering 91
Countries citing papers authored by Kai Wu
This map shows the geographic impact of Kai Wu'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 Kai Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Wu more than expected).
Fields of papers citing papers by Kai Wu
This network shows the impact of papers produced by Kai Wu. 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 Kai Wu. The network helps show where Kai Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Wu, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 209 | |
| 2 | 2020 | 112 | |
| 3 | 2021 | 80 | |
| 4 | 2001 | 68 | |
| 5 | 2021 | 65 | |
| 6 | 2021 | 57 | |
| 7 | 2022 | 56 | |
| 8 | 2022 | 52 | |
| 9 | 2022 | 30 | |
| 10 | 2018 | 29 | |
| 11 | 2019 | 28 | |
| 12 | 2023 | 27 | |
| 13 | 2023 | 25 | |
| 14 | 2023 | 23 | |
| 15 | 2024 | 23 | |
| 16 | 2017 | 16 | |
| 17 | 2021 | 16 | |
| 18 | 2021 | 16 | |
| 19 | 2020 | 16 | |
| 20 | 2022 | 14 |
About Kai Wu
Kai Wu is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis, Global and Planetary Change, Environmental Engineering and Pollution, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (25 papers), Air Quality and Health Impacts (19 papers), Air Quality Monitoring and Forecasting (9 papers), Atmospheric Ozone and Climate (6 papers), Atmospheric and Environmental Gas Dynamics (5 papers), Atmospheric aerosols and clouds (5 papers), Meteorological Phenomena and Simulations (4 papers) and Plant Water Relations and Carbon Dynamics (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (605 citations), Atmospheric Science (774 citations), Environmental Engineering (402 citations), Global and Planetary Change (310 citations) and Automotive Engineering (91 citations). Kai Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xianyu Yang, Yaqiong Lü, Xiaoling Zhang, Haolin Wang, Yiming Liu, Shigong Wang, Kun Wang, Dean Chen, Shihua Lü and Ping Shao. Their work appears in journals such as Atmospheric Environment, Environmental Pollution, Environmental Science and Pollution Research, Atmospheric Research and Atmospheric Pollution Research.
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.