Yicang Zhou
- Public Health, Environmental and Occupational Health top 1%
- Modeling and Simulation top 0.2%
- Genetics top 2%
- Infectious Diseases top 5%
- Epidemiology
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (53 papers)COVID-19 epidemiological studies (38 papers)Evolution and Genetic Dynamics (37 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Theoretical Biology
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Yicang Zhou
66 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 101
- Public Health, Environmental and Occupational Health 1.4k
- Modeling and Simulation 1.1k
- Genetics 823
- Infectious Diseases 253
- Epidemiology 222
Countries citing papers authored by Yicang Zhou
This map shows the geographic impact of Yicang 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 Yicang Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yicang Zhou more than expected).
Fields of papers citing papers by Yicang Zhou
This network shows the impact of papers produced by Yicang 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 Yicang Zhou. The network helps show where Yicang Zhou may publish in the future.
Co-authorship network of co-authors of Yicang Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Yicang Zhou. A scholar is included among the top collaborators of Yicang 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 Yicang Zhou. Yicang 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 | 61 | |
| 2 | 5 | |
| 3 | 9 | |
| 4 | 10 | |
| 5 | 18 | |
| 6 | 8 | |
| 7 | 14 | |
| 8 | 9 | |
| 9 | 31 | |
| 10 | 22 | |
| 11 | 99 | |
| 12 | 46 | |
| 13 | Mathematical Modeling and Dynamics of HIV Progression and Treatment | 2 |
| 14 | 173 | |
| 15 | Global Stability of a Discrete AIDS Model with Age-structure | 1 |
| 16 | 42 | |
| 17 | An analysis of HIV/AIDS prevalence trends among the injection drug users in Xichang of Sichuan province | 1 |
| 18 | Hepatitis Epidemic Models with Proportional and Pulse Vaccination | 3 |
| 19 | 106 | |
| 20 | 104 |
About Yicang Zhou
Yicang Zhou is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 66 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (53 papers), COVID-19 epidemiological studies (38 papers) and Evolution and Genetic Dynamics (37 papers). The work is most often cited by research in Modeling and Simulation (1.1k citations), Public Health, Environmental and Occupational Health (1.4k citations) and Virology (142 citations). Yicang Zhou has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Jian Wu, J. M. Cushing, Zhien Ma, Jinhu Xu, Fred Brauer, Zhien Ma, Jane M. Heffernan, Zhenguo Bai, Hanwu Liu and Jianquan Li. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.