Weike Zhou

19 papers receiving 344 citations

Peers

Weike Zhou
Comparison fields: 5 of 82
  • Modeling and Simulation 201
  • Public Health, Environmental and Occupational Health 150
  • Infectious Diseases 86
  • Health 20
  • Communication 16
Replace Aili Wang with:
Aili Wang China
Baltazar Espinoza United States
Attila Dénes Hungary
Rajanish Kumar India
Natasha Markuzon United States
Kamaldeen Okuneye United States
Rachel Waema Mbogo Kenya
Duncan Kioi Gathungu Kenya
Soumik Purkayastha United States
Sangeeta Bhatia United Kingdom
Weike Zhou relative to Aili Wang China Aili Wang's profile →
Citations per field
00.5×1.5×
Aili Wang · 1×
Citations per year

Countries citing papers authored by Weike Zhou

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Weike Zhou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Weike Zhou Line = papers co-authored together Weike Zhou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020153
2 202234
3 202031
4 201923
5 201823
6 201622
7 202214
8 201510
9 20228
10 20208
11 20236
12 20244
13 20213
14 20213
15 20232
16 20162
17 20241
18 20211
19 20101
20 20250

About Weike Zhou

Weike Zhou is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Infectious Diseases, Epidemiology and Genetics, 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), SARS-CoV-2 and COVID-19 Research (5 papers), Evolution and Genetic Dynamics (4 papers), Influenza Virus Research Studies (3 papers), Misinformation and Its Impacts (2 papers), COVID-19 Pandemic Impacts (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Modeling and Simulation (201 citations), Public Health, Environmental and Occupational Health (150 citations), Infectious Diseases (86 citations), Health (20 citations) and Communication (16 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 Zhen Li. Their work appears in journals such as Journal of Theoretical Biology, Mathematical Biosciences & Engineering, Bulletin of Mathematical Biology, International Journal of Environmental Research and Public Health and Mathematical Biosciences.

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.

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