Wei Tu
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Global and Planetary Change top 10%
- COVID-19 impact on air quality
- Land Use and Ecosystem Services
Papers in
- Health 7
- Health disparities and outcomes 6
-
- Homelessness and Social Issues 3
- Co-authors
- Zhijie Zhang (7 shared papers)Qing Su (3 shared papers)Michael P. Ward (6 shared papers)Hongchao Qi (3 shared papers)Runye Shi (2 shared papers)Shuang Xiao (2 shared papers)Wenge Wang (2 shared papers)Xinyi Wang (1 shared paper)
- Journals
- The Science of The Total Environment (3 papers)Applied Geography (3 papers)JCI Insight (2 papers)Science Bulletin (2 papers)Journal of Transport Geography (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Wei Tu
27 papers receiving 799 citations
Peers
Comparison fields: 5 of 105
- Modeling and Simulation 278
- Global and Planetary Change 236
- Transportation 70
- Health, Toxicology and Mutagenesis 138
- Economics and Econometrics 213
Countries citing papers authored by Wei Tu
This map shows the geographic impact of Wei Tu'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 Wei Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Tu more than expected).
Fields of papers citing papers by Wei Tu
This network shows the impact of papers produced by Wei Tu. 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 Wei Tu. The network helps show where Wei Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Tu, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 368 | |
| 2 | 2022 | 56 | |
| 3 | 2016 | 54 | |
| 4 | 2015 | 40 | |
| 5 | 2016 | 37 | |
| 6 | 2013 | 33 | |
| 7 | 2018 | 28 | |
| 8 | 2022 | 28 | |
| 9 | 2016 | 28 | |
| 10 | 2012 | 21 | |
| 11 | 2018 | 20 | |
| 12 | 2021 | 16 | |
| 13 | 2021 | 14 | |
| 14 | 2006 | 12 | |
| 15 | 2020 | 9 | |
| 16 | 2013 | 8 | |
| 17 | 2018 | 8 | |
| 18 | 2010 | 8 | |
| 19 | 2015 | 6 | |
| 20 | 2014 | 5 |
About Wei Tu
Wei Tu is a scholar working on Health, General Health Professions, Health, Toxicology and Mutagenesis, Global and Planetary Change and Economics and Econometrics, having authored 33 papers that have together received 811 indexed citations. Recurring topics across this work include Health disparities and outcomes (6 papers), Air Quality and Health Impacts (4 papers), Land Use and Ecosystem Services (4 papers), Climate Change and Health Impacts (3 papers), Urban Transport and Accessibility (3 papers), Homelessness and Social Issues (3 papers), Viral Infections and Immunology Research (3 papers) and Allergic Rhinitis and Sensitization (2 papers). The work is most often cited by research in Modeling and Simulation (278 citations), Global and Planetary Change (236 citations), Transportation (70 citations), Health, Toxicology and Mutagenesis (138 citations) and Economics and Econometrics (213 citations). Wei Tu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Zhijie Zhang, Qing Su, Michael P. Ward, Hongchao Qi, Runye Shi, Shuang Xiao, Wenge Wang, Xinyi Wang, Yue Chen and Jun Tu. Their work appears in journals such as The Science of The Total Environment, Applied Geography, JCI Insight, Science Bulletin and Journal of Transport Geography.
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.