Chang-Hsun Chen
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Burkholderia infections and melioidosis
- HIV, Drug Use, Sexual Risk
Papers in
- Epidemiology 18
- Influenza Virus Research Studies 9
- Mycobacterium research and diagnosis 3
- HIV, Drug Use, Sexual Risk 3
- Data-Driven Disease Surveillance 2
-
- Tuberculosis Research and Epidemiology 3
- Viral Infections and Outbreaks Research 3
- Co-authors
- Chi‐Tai Fang (4 shared papers)Shan‐Chwen Chang (2 shared papers)LM Ho (1 shared paper)Thomas Tsang (1 shared paper)Christl A. Donnelly (1 shared paper)GM Leung (1 shared paper)Chao A. Hsiung (1 shared paper)Benjamin J. Cowling (1 shared paper)
- Journals
- PLoS ONE (2 papers)Journal of Clinical Microbiology (2 papers)Health Security (2 papers)Vaccine (2 papers)Nature Communications (1 paper)
- Partner nations
- TaiwanUnited StatesHong Kong
In The Last Decade
Chang-Hsun Chen
23 papers receiving 499 citations
Peers
Comparison fields: 5 of 91
- Modeling and Simulation 38
- Epidemiology 253
- Infectious Diseases 127
- Parasitology 31
- Health 34
Countries citing papers authored by Chang-Hsun Chen
This map shows the geographic impact of Chang-Hsun Chen'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 Chang-Hsun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang-Hsun Chen more than expected).
Fields of papers citing papers by Chang-Hsun Chen
This network shows the impact of papers produced by Chang-Hsun Chen. 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 Chang-Hsun Chen. The network helps show where Chang-Hsun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chang-Hsun Chen, 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 | 2010 | 60 | |
| 2 | 2013 | 56 | |
| 3 | 2009 | 40 | |
| 4 | 2015 | 36 | |
| 5 | 2014 | 33 | |
| 6 | 2014 | 32 | |
| 7 | 2007 | 32 | |
| 8 | 2012 | 30 | |
| 9 | 2010 | 30 | |
| 10 | 2019 | 21 | |
| 11 | 2018 | 20 | |
| 12 | 2017 | 19 | |
| 13 | 2020 | 17 | |
| 14 | 2016 | 16 | |
| 15 | 2017 | 15 | |
| 16 | 2021 | 13 | |
| 17 | 2013 | 11 | |
| 18 | Risk of Mycobacterium tuberculosis transmission in an aboriginal village, Taiwan. | 2006 | 9 |
| 19 | 2014 | 8 | |
| 20 | Evolution of MDR-TB Control Strategy in Taiwan | 2012 | 6 |
About Chang-Hsun Chen
Chang-Hsun Chen is a scholar working on Epidemiology, Infectious Diseases, Surgery, Immunology and Emergency Medical Services, having authored 23 papers that have together received 510 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (9 papers), Tuberculosis Research and Epidemiology (3 papers), Mycobacterium research and diagnosis (3 papers), Viral Infections and Outbreaks Research (3 papers), HIV, Drug Use, Sexual Risk (3 papers), Data-Driven Disease Surveillance (2 papers), Disaster Response and Management (2 papers) and Diagnosis and treatment of tuberculosis (2 papers). The work is most often cited by research in Modeling and Simulation (38 citations), Epidemiology (253 citations), Infectious Diseases (127 citations), Parasitology (31 citations) and Health (34 citations). Chang-Hsun Chen has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Chi‐Tai Fang, Shan‐Chwen Chang, LM Ho, Thomas Tsang, Christl A. Donnelly, GM Leung, Chao A. Hsiung, Benjamin J. Cowling, Eric H. Y. Lau and Hsi-Hsun Lin. Their work appears in journals such as PLoS ONE, Journal of Clinical Microbiology, Health Security, Vaccine and Nature Communications.
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.