Zhanwei Du
Impact in
- Modeling and Simulation top 0.1%
- COVID-19 epidemiological studies
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
Papers in
-
- COVID-19 epidemiological studies 55
-
- SARS-CoV-2 and COVID-19 Research 23
- SARS-CoV-2 detection and testing 10
- Co-authors
- Benjamin J. Cowling (46 shared papers)Lin Wang (38 shared papers)Lauren Ancel Meyers (28 shared papers)Xiao-Ke Xu (19 shared papers)Eric H. Y. Lau (32 shared papers)Ye Wu (2 shared papers)Yuan Bai (43 shared papers)Sheikh Taslim Ali (13 shared papers)
- Journals
- Emerging infectious diseases (10 papers)Journal of Travel Medicine (6 papers)China CDC Weekly (4 papers)Proceedings of the National Academy of Sciences (4 papers)Clinical Infectious Diseases (4 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Zhanwei Du
116 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 150
- Modeling and Simulation 1.1k
- Infectious Diseases 711
- Health 116
- Epidemiology 445
- Transportation 80
Countries citing papers authored by Zhanwei Du
This map shows the geographic impact of Zhanwei Du'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 Zhanwei Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhanwei Du more than expected).
Fields of papers citing papers by Zhanwei Du
This network shows the impact of papers produced by Zhanwei Du. 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 Zhanwei Du. The network helps show where Zhanwei Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhanwei Du, 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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 410 | |
| 2 | 2020 | 263 | |
| 3 | 2020 | 222 | |
| 4 | 2021 | 98 | |
| 5 | 2021 | 73 | |
| 6 | 2020 | 73 | |
| 7 | 2020 | 72 | |
| 8 | 2022 | 61 | |
| 9 | 2020 | 50 | |
| 10 | 2020 | 47 | |
| 11 | 2020 | 42 | |
| 12 | 2022 | 38 | |
| 13 | 2022 | 34 | |
| 14 | 2021 | 34 | |
| 15 | 2023 | 33 | |
| 16 | 2021 | 32 | |
| 17 | 2015 | 28 | |
| 18 | 2018 | 28 | |
| 19 | 2022 | 27 | |
| 20 | 2022 | 27 |
About Zhanwei Du
Zhanwei Du is a scholar working on Modeling and Simulation, Infectious Diseases, Epidemiology, Clinical Psychology and Artificial Intelligence, having authored 125 papers that have together received 2.3k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (55 papers), SARS-CoV-2 and COVID-19 Research (23 papers), Data-Driven Disease Surveillance (16 papers), Influenza Virus Research Studies (13 papers), COVID-19 and Mental Health (11 papers), COVID-19 Pandemic Impacts (10 papers), SARS-CoV-2 detection and testing (10 papers) and Human Mobility and Location-Based Analysis (8 papers). The work is most often cited by research in Modeling and Simulation (1.1k citations), Infectious Diseases (711 citations), Health (116 citations), Epidemiology (445 citations) and Transportation (80 citations). Zhanwei Du has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Benjamin J. Cowling, Lin Wang, Lauren Ancel Meyers, Xiao-Ke Xu, Eric H. Y. Lau, Ye Wu, Yuan Bai, Sheikh Taslim Ali, Alison P. Galvani and Xianwen Wang. Their work appears in journals such as Emerging infectious diseases, Journal of Travel Medicine, China CDC Weekly, Proceedings of the National Academy of Sciences and Clinical Infectious Diseases.
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.