Weiming Wang

195 papers and 6.2k indexed citations i.

About

Weiming Wang is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Modeling and Simulation. According to data from OpenAlex, Weiming Wang has authored 195 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Public Health, Environmental and Occupational Health, 69 papers in Genetics and 66 papers in Modeling and Simulation. Recurrent topics in Weiming Wang’s work include Mathematical and Theoretical Epidemiology and Ecology Models (90 papers), Evolution and Genetic Dynamics (68 papers) and COVID-19 epidemiological studies (48 papers). Weiming Wang is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (90 papers), Evolution and Genetic Dynamics (68 papers) and COVID-19 epidemiological studies (48 papers). Weiming Wang collaborates with scholars based in China, Hong Kong and United States. Weiming Wang's co-authors include Yongli Cai, Daihai He, Shi Zhao, Maggie Haitian Wang, Daozhou Gao, Lin Yang, Yijun Lou, Salihu S. Musa, Yun Kang and Jinjun Ran and has published in prestigious journals such as Scientific Reports, Journal of Ethnopharmacology and Journal of Theoretical Biology.

In The Last Decade

Co-authorship network of co-authors of Weiming Wang i

Fields of papers citing papers by Weiming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weiming Wang. 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 Weiming Wang. The network helps show where Weiming Wang may publish in the future.

Countries citing papers authored by Weiming Wang

Since Specialization
Citations

This map shows the geographic impact of Weiming Wang'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 Weiming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiming Wang more than expected).

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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2025