Chayu Yang
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Fractional Differential Equations Solutions
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- Mathematical and Theoretical Epidemiology and Ecology Models
Papers in
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- COVID-19 epidemiological studies 16
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- Mathematical and Theoretical Epidemiology and Ecology Models 14
- Co-authors
- Jin Wang (1 shared paper)Jin Wang (11 shared papers)Jin Wang (3 shared papers)Xueying Wang (2 shared papers)Daozhou Gao (1 shared paper)Liming Cai (2 shared papers)Steady Mushayabasa (1 shared paper)Zhaoqing Li (1 shared paper)
- Journals
- Mathematical Biosciences & Engineering (5 papers)Bulletin of Mathematical Biology (2 papers)Journal of Instrumentation (2 papers)Mathematical Biosciences (1 paper)International Journal of Biomathematics (1 paper)
- Partner nations
- United StatesChinaZimbabwe
In The Last Decade
Chayu Yang
20 papers receiving 552 citations
Peers
Comparison fields: 5 of 83
- Modeling and Simulation 448
- Public Health, Environmental and Occupational Health 338
- Endocrinology 56
- Infectious Diseases 159
- Small Animals 21
Countries citing papers authored by Chayu Yang
This map shows the geographic impact of Chayu Yang'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 Chayu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chayu Yang more than expected).
Fields of papers citing papers by Chayu Yang
This network shows the impact of papers produced by Chayu Yang. 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 Chayu Yang. The network helps show where Chayu Yang may publish in the future.
Co-authors
The 22 scholars most cited alongside Chayu Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 304 | |
| 2 | 2017 | 61 | |
| 3 | 2017 | 27 | |
| 4 | 2020 | 23 | |
| 5 | 2020 | 22 | |
| 6 | 2017 | 21 | |
| 7 | 2020 | 21 | |
| 8 | 2020 | 20 | |
| 9 | 2019 | 20 | |
| 10 | 2021 | 11 | |
| 11 | 2021 | 10 | |
| 12 | 2021 | 8 | |
| 13 | 2020 | 5 | |
| 14 | 2018 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2024 | 1 | |
| 19 | 2023 | 1 | |
| 20 | Mathematical modeling, analysis, and simulation of Cholera dynamics | 2020 | 1 |
About Chayu Yang
Chayu Yang is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Genetics, Endocrinology and Infectious Diseases, having authored 23 papers that have together received 571 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (16 papers), Mathematical and Theoretical Epidemiology and Ecology Models (14 papers), Evolution and Genetic Dynamics (8 papers), Vibrio bacteria research studies (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Radiation Therapy and Dosimetry (2 papers), Medical Imaging Techniques and Applications (2 papers) and Radiation Detection and Scintillator Technologies (2 papers). The work is most often cited by research in Modeling and Simulation (448 citations), Public Health, Environmental and Occupational Health (338 citations), Endocrinology (56 citations), Infectious Diseases (159 citations) and Small Animals (21 citations). Chayu Yang has collaborated with scholars based in United States, China and Zimbabwe. Frequent co-authors include Jin Wang, Jin Wang, Jin Wang, Xueying Wang, Daozhou Gao, Jin Wang, Jin Wang, Liming Cai, Steady Mushayabasa and Zhaoqing Li. Their work appears in journals such as Mathematical Biosciences & Engineering, Bulletin of Mathematical Biology, Journal of Instrumentation, Mathematical Biosciences and International Journal of Biomathematics.
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.