Sze-Bi Hsu
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth 3
- COVID-19 epidemiological studies 2
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- Mathematical and Theoretical Epidemiology and Ecology Models 11
- Genetics top 5%
- Evolution and Genetic Dynamics 8
- Applied Mathematics top 5%
- Geometry and Topology top 5%
- Advanced Differential Equations and Dynamical Systems 2
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- Evolutionary Game Theory and Cooperation 4
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- SARS-CoV-2 and COVID-19 Research 2
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- Nonlinear Dynamics and Pattern Formation 2
- Co-authors
- Yang KuangYing‐Hen HsiehCathy W. S. ChenJames P. GroverFeng‐Bin WangShigui RuanTing‐Hui YangYi‐Chun Wu
- Journals
- Emerging infectious diseases (1 paper)Journal of Theoretical Biology (1 paper)SIAM Journal on Applied Mathematics (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Sze-Bi Hsu
15 papers receiving 778 citations
Peers
Comparison fields: 5 of 83
- Modeling and Simulation 323
- Public Health, Environmental and Occupational Health 702
- Genetics 477
- Applied Mathematics 105
- Geometry and Topology 72
Countries citing papers authored by Sze-Bi Hsu
This map shows the geographic impact of Sze-Bi Hsu'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 Sze-Bi Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sze-Bi Hsu more than expected).
Fields of papers citing papers by Sze-Bi Hsu
This network shows the impact of papers produced by Sze-Bi Hsu. 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 Sze-Bi Hsu. The network helps show where Sze-Bi Hsu may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Sze-Bi Hsu, 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 | 2017 | 6 | |
| 2 | 2017 | 3 | |
| 3 | 2015 | 23 | |
| 4 | 2013 | 27 | |
| 5 | 2011 | 20 | |
| 6 | 2009 | 30 | |
| 7 | 2009 | 4 | |
| 8 | 2008 | 54 | |
| 9 | 2006 | 53 | |
| 10 | 2004 | 53 | |
| 11 | 2003 | 4 | |
| 12 | 2002 | 137 | |
| 13 | 2001 | 318 | |
| 14 | 2001 | 109 | |
| 15 | 2001 | 16 |
About Sze-Bi Hsu
Sze-Bi Hsu is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 15 papers that have together received 857 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (11 papers), Evolution and Genetic Dynamics (8 papers), Evolutionary Game Theory and Cooperation (4 papers), Mathematical Biology Tumor Growth (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 epidemiological studies (2 papers), Nonlinear Dynamics and Pattern Formation (2 papers) and Advanced Differential Equations and Dynamical Systems (2 papers). The work is most often cited by research in Modeling and Simulation (323 citations), Public Health, Environmental and Occupational Health (702 citations) and Genetics (477 citations). Sze-Bi Hsu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yang Kuang, Ying‐Hen Hsieh, Cathy W. S. Chen, James P. Grover, Feng‐Bin Wang, Shigui Ruan, Ting‐Hui Yang, Yi‐Chun Wu, Mei-Shang Ho and Hua Nie. Their work appears in journals such as Emerging infectious diseases, Journal of Theoretical Biology and SIAM Journal on Applied Mathematics.
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.