Jen-Hsiang Chuang
- Epidemiology top 5%
- Infectious Diseases top 5%
- Modeling and Simulation top 1%
- Agronomy and Crop Science top 5%
- Public Health, Environmental and Occupational Health
- Co-authors
- Wan‐Ting HuangHsu‐Sung KuoWan‐Chin ChenYang-chih FuYulun LiuHo-Sheng WuGeorge HripcsakDawei Wang
- Topics
- Influenza Virus Research Studies (22 papers)COVID-19 epidemiological studies (10 papers)Vaccine Coverage and Hesitancy (8 papers)
- Partner nations
- TaiwanUnited StatesSouth Korea
In The Last Decade
Jen-Hsiang Chuang
54 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 129
- Epidemiology 682
- Infectious Diseases 322
- Modeling and Simulation 199
- Agronomy and Crop Science 158
- Public Health, Environmental and Occupational Health 120
Countries citing papers authored by Jen-Hsiang Chuang
This map shows the geographic impact of Jen-Hsiang Chuang'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 Jen-Hsiang Chuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jen-Hsiang Chuang more than expected).
Fields of papers citing papers by Jen-Hsiang Chuang
This network shows the impact of papers produced by Jen-Hsiang Chuang. 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 Jen-Hsiang Chuang. The network helps show where Jen-Hsiang Chuang may publish in the future.
Co-authorship network of co-authors of Jen-Hsiang Chuang
This figure shows the co-authorship network connecting the top 25 collaborators of Jen-Hsiang Chuang. A scholar is included among the top collaborators of Jen-Hsiang Chuang 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 Jen-Hsiang Chuang. Jen-Hsiang Chuang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 3 | |
| 3 | 39 | |
| 4 | Risk Assessment of Severe Fever with Thrombocytopenia Syndrome in Taiwan | 1 |
| 5 | 8 | |
| 6 | 16 | |
| 7 | 24 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | The Epidemic of Enterovirus 71 in Taiwan, 2011-2012 | 3 |
| 12 | 26 | |
| 13 | 58 | |
| 14 | Review of Significant Epidemics Occurred in Taiwan and International Community in 2009 | 2 |
| 15 | Multiple Disease Surveillance Systems against Pandemic (H1N1) Influenza in Taiwan | 1 |
| 16 | 27 | |
| 17 | 77 | |
| 18 | 1 | |
| 19 | A Web-based System For Prediction Of Coronary Heart Disease Risk Using The Framingham Algorithm | 2 |
| 20 | 17 |
About Jen-Hsiang Chuang
Jen-Hsiang Chuang is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (22 papers), COVID-19 epidemiological studies (10 papers) and Vaccine Coverage and Hesitancy (8 papers). The work is most often cited by research in Modeling and Simulation (199 citations), Epidemiology (682 citations) and Infectious Diseases (322 citations). Jen-Hsiang Chuang has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Wan‐Ting Huang, Hsu‐Sung Kuo, Wan‐Chin Chen, Yang-chih Fu, Yulun Liu, Ho-Sheng Wu, George Hripcsak, Dawei Wang, Ming‐Tsan Liu and Wen‐Ta Chiu. Their work appears in journals such as PLoS ONE, The American Journal of Cardiology and Emerging infectious diseases.
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.