Yixiang Wu
- Public Health, Environmental and Occupational Health top 2%
- Modeling and Simulation top 0.5%
- Genetics top 5%
- Sociology and Political Science
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Xingfu ZouGlenn F. WebbKeng DengPierre MagalJunping ShiShanshan ChenZhisheng ShuaiW. E. Fitzgibbon
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (31 papers)Evolution and Genetic Dynamics (21 papers)COVID-19 epidemiological studies (17 papers)
- Journals
- SHILAP Revista de lepidopterologíaPhysica D Nonlinear PhenomenaJournal of The Royal Society Interface
- Partner nations
- United StatesChinaFrance
In The Last Decade
Yixiang Wu
37 papers receiving 778 citations
Peers
Comparison fields: 5 of 56
- Public Health, Environmental and Occupational Health 711
- Modeling and Simulation 592
- Genetics 548
- Sociology and Political Science 60
- Statistical and Nonlinear Physics 50
Countries citing papers authored by Yixiang Wu
This map shows the geographic impact of Yixiang Wu'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 Yixiang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yixiang Wu more than expected).
Fields of papers citing papers by Yixiang Wu
This network shows the impact of papers produced by Yixiang Wu. 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 Yixiang Wu. The network helps show where Yixiang Wu may publish in the future.
Co-authorship network of co-authors of Yixiang Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yixiang Wu. A scholar is included among the top collaborators of Yixiang Wu 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 Yixiang Wu. Yixiang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 13 | |
| 8 | 4 | |
| 9 | 14 | |
| 10 | 36 | |
| 11 | 24 | |
| 12 | 17 | |
| 13 | 5 | |
| 14 | 88 | |
| 15 | 105 | |
| 16 | 108 | |
| 17 | 155 | |
| 18 | 9 | |
| 19 | 12 | |
| 20 | Long Time Behavior for Reaction-Diffusion Population Models | 1 |
About Yixiang Wu
Yixiang Wu is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 38 papers that have together received 813 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (31 papers), Evolution and Genetic Dynamics (21 papers) and COVID-19 epidemiological studies (17 papers). The work is most often cited by research in Modeling and Simulation (592 citations), Public Health, Environmental and Occupational Health (711 citations) and Genetics (548 citations). Yixiang Wu has collaborated with scholars based in United States, China and France. Frequent co-authors include Xingfu Zou, Glenn F. Webb, Keng Deng, Pierre Magal, Junping Shi, Shanshan Chen, Zhisheng Shuai, W. E. Fitzgibbon, Rachidi B. Salako and Jie Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Physica D Nonlinear Phenomena and Journal of The Royal Society Interface.
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.