Ye Wu
- Health, Toxicology and Mutagenesis top 0.02%
- Air Quality and Health Impacts 136
- Toxic Organic Pollutants Impact 15
- Automotive Engineering top 0.02%
- Vehicle emissions and performance 156
- Atmospheric Science top 0.5%
- Atmospheric chemistry and aerosols 66
- Transportation top 0.2%
- Transportation Planning and Optimization 14
- Environmental Engineering top 0.2%
- Air Quality Monitoring and Forecasting 28
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- Energy, Environment, and Transportation Policies 39
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- Electric Vehicles and Infrastructure 34
- Journals
- Environmental Science & Technology (31 papers)Atmospheric Environment (20 papers)Environmental Pollution (16 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Ye Wu
251 papers receiving 13.4k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Health, Toxicology and Mutagenesis 7.9k
- Automotive Engineering 5.8k
- Atmospheric Science 3.6k
- Transportation 1.1k
- Environmental Engineering 2.4k
Countries citing papers authored by Ye Wu
This map shows the geographic impact of Ye 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 Ye Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Wu more than expected).
Fields of papers citing papers by Ye Wu
This network shows the impact of papers produced by Ye 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 Ye Wu. The network helps show where Ye Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ye 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 22 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 21 | |
| 11 | 2023 | 11 | |
| 12 | 2023 | 18 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 8 | |
| 16 | 2022 | 40 | |
| 17 | 2022 | 29 | |
| 18 | 2021 | 125 | |
| 19 | 2021 | 4 | |
| 20 | 2020 | 17 |
About Ye Wu
Ye Wu is a scholar working on Automotive Engineering, Health, Toxicology and Mutagenesis and Atmospheric Science, having authored 269 papers that have together received 13.7k indexed citations. Recurring topics across this work include Vehicle emissions and performance (156 papers), Air Quality and Health Impacts (136 papers), Atmospheric chemistry and aerosols (66 papers), Energy, Environment, and Transportation Policies (39 papers), Electric Vehicles and Infrastructure (34 papers), Air Quality Monitoring and Forecasting (28 papers), Toxic Organic Pollutants Impact (15 papers) and Transportation Planning and Optimization (14 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (7.9k citations), Automotive Engineering (5.8k citations) and Atmospheric Science (3.6k citations). Ye Wu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Shaojun Zhang, Jiming Hao, Jiming Hao, David G. Streets, Shuxiao Wang, Lixin Fu, Huan Liu, Kebin He, K. Max Zhang and Yu Zhou. Their work appears in journals such as Environmental Science & Technology, Atmospheric Environment, Environmental Pollution, The Science of The Total Environment and Applied Energy.
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.