Weike Zhou
- Modeling and Simulation top 1%
- Public Health, Environmental and Occupational Health top 10%
- Infectious Diseases
- Sociology and Political Science
- Epidemiology
- Topics
- COVID-19 epidemiological studies (17 papers)Mathematical and Theoretical Epidemiology and Ecology Models (10 papers)SARS-CoV-2 and COVID-19 Research (5 papers)
- Cited by
- Modeling and SimulationPublic Health, Environmental and Occupational HealthInfectious Diseases
- Journals
- PLoS ONEInternational Journal of Environmental Research and Public HealthJournal of Theoretical Biology
- Partner nations
- ChinaCanadaUnited Kingdom
In The Last Decade
Weike Zhou
19 papers receiving 344 citations
Peers
Comparison fields: 5 of 82
- Modeling and Simulation 201
- Public Health, Environmental and Occupational Health 150
- Infectious Diseases 86
- Sociology and Political Science 55
- Epidemiology 54
Countries citing papers authored by Weike Zhou
This map shows the geographic impact of Weike Zhou'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 Weike Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weike Zhou more than expected).
Fields of papers citing papers by Weike Zhou
This network shows the impact of papers produced by Weike Zhou. 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 Weike Zhou. The network helps show where Weike Zhou may publish in the future.
Co-authorship network of co-authors of Weike Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Weike Zhou. A scholar is included among the top collaborators of Weike Zhou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weike Zhou. Weike Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 34 | |
| 8 | 8 | |
| 9 | 14 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 153 | |
| 14 | 8 | |
| 15 | 31 | |
| 16 | 23 | |
| 17 | 23 | |
| 18 | 2 | |
| 19 | 22 | |
| 20 | 1 |
About Weike Zhou
Weike Zhou is a scholar working on Modeling and Simulation, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 23 papers that have together received 349 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (17 papers), Mathematical and Theoretical Epidemiology and Ecology Models (10 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Modeling and Simulation (201 citations), Public Health, Environmental and Occupational Health (150 citations) and Infectious Diseases (86 citations). Weike Zhou has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Yanni Xiao, Sanyi Tang, Aili Wang, Jane M. Heffernan, Fan Xia, Robert Cheke, Xia Wang, Biao Tang, Hulin Wu and Mingwang Shen. Their work appears in journals such as PLoS ONE, International Journal of Environmental Research and Public Health and Journal of Theoretical Biology.
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.