Michael Y. Li
Impact in
- Modeling and Simulation top 0.05%
- COVID-19 epidemiological studies
- Fractional Differential Equations Solutions
-
- Mathematical and Theoretical Epidemiology and Ecology Models
Papers in
-
- COVID-19 epidemiological studies 18
- Virology 7
- HIV Research and Treatment 6
- Co-authors
- James S. MuldowneyZhisheng ShuaiLiancheng WangHongying ShuHongbin GuoJános KarsaiJohn R. GraefWeston Roda
- Journals
- Mathematical Biosciences (7 papers)Bulletin of Mathematical Biology (7 papers)SIAM Journal on Applied Mathematics (4 papers)Journal of Mathematical Analysis and Applications (4 papers)Journal of Differential Equations (4 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Michael Y. Li
62 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Modeling and Simulation 3.0k
- Public Health, Environmental and Occupational Health 3.8k
- Genetics 2.1k
- Statistical and Nonlinear Physics 708
- Virology 251
Countries citing papers authored by Michael Y. Li
This map shows the geographic impact of Michael Y. Li'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 Michael Y. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Y. Li more than expected).
Fields of papers citing papers by Michael Y. Li
This network shows the impact of papers produced by Michael Y. Li. 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 Michael Y. Li. The network helps show where Michael Y. Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Y. Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 3 | |
| 2 | 2022 | 6 | |
| 3 | 2021 | 6 | |
| 4 | 2021 | 16 | |
| 5 | 2021 | 12 | |
| 6 | 2020 | 48 | |
| 7 | 2020 | 36 | |
| 8 | Why is it difficult to accurately predict the COVID-19 epidemic? Hit paper breakdown → | 2020 | 392 |
| 9 | 2017 | 7 | |
| 10 | 2011 | 32 | |
| 11 | 2010 | 82 | |
| 12 | 2009 | 168 | |
| 13 | Global-stability problem for coupled systems of differential equations on networks Hit paper breakdown → | 2009 | 703 |
| 14 | 2009 | 55 | |
| 15 | 2008 | 30 | |
| 16 | 2002 | 65 | |
| 17 | 2001 | 31 | |
| 18 | 2000 | 39 | |
| 19 | 1998 | 60 | |
| 20 | 1996 | 21 |
About Michael Y. Li
Michael Y. Li is a scholar working on Modeling and Simulation, Virology, Public Health, Environmental and Occupational Health, Geometry and Topology and Genetics, having authored 63 papers that have together received 5.7k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (31 papers), Evolution and Genetic Dynamics (21 papers), COVID-19 epidemiological studies (18 papers), Advanced Differential Equations and Dynamical Systems (8 papers), Nonlinear Dynamics and Pattern Formation (8 papers), T-cell and Retrovirus Studies (6 papers), HIV Research and Treatment (6 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Modeling and Simulation (3.0k citations), Public Health, Environmental and Occupational Health (3.8k citations), Genetics (2.1k citations), Statistical and Nonlinear Physics (708 citations) and Virology (251 citations). Michael Y. Li has collaborated with scholars based in Canada, China and United States. Frequent co-authors include James S. Muldowney, Zhisheng Shuai, Liancheng Wang, Hongying Shu, Hongbin Guo, János Karsai, John R. Graef, Weston Roda, Junjie Wei and Marie Varughese. Their work appears in journals such as Mathematical Biosciences, Bulletin of Mathematical Biology, SIAM Journal on Applied Mathematics, Journal of Mathematical Analysis and Applications and Journal of Differential Equations.
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.