Chen Jun-fang
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- HIV/AIDS Research and Interventions
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS drug development and treatment
Papers in
-
- HIV/AIDS Research and Interventions 8
- COVID-19 Clinical Research Studies 3
- Epidemiology 10
- HIV, Drug Use, Sexual Risk 5
- Pneumonia and Respiratory Infections 3
- Influenza Virus Research Studies 2
- Co-authors
- Zunyou Wu (2 shared papers)Sarah Robbins Scott (2 shared papers)Jennifer M. McGoogan (1 shared paper)Zhou Sun (4 shared papers)Zijian Fang (4 shared papers)Jian Du (4 shared papers)Hanqing He (1 shared paper)Xiaoping Zhang (3 shared papers)
- Journals
- Human Vaccines & Immunotherapeutics (3 papers)Medicine (2 papers)AIDS Research and Human Retroviruses (2 papers)Travel Medicine and Infectious Disease (1 paper)Current HIV/AIDS Reports (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Chen Jun-fang
26 papers receiving 335 citations
Peers
Comparison fields: 5 of 87
- Modeling and Simulation 49
- Infectious Diseases 197
- Virology 48
- Epidemiology 137
- Health 26
Countries citing papers authored by Chen Jun-fang
This map shows the geographic impact of Chen Jun-fang'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 Chen Jun-fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Jun-fang more than expected).
Fields of papers citing papers by Chen Jun-fang
This network shows the impact of papers produced by Chen Jun-fang. 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 Chen Jun-fang. The network helps show where Chen Jun-fang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Jun-fang, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 97 | |
| 2 | 2020 | 56 | |
| 3 | 2020 | 39 | |
| 4 | 2020 | 23 | |
| 5 | 2015 | 19 | |
| 6 | 2020 | 17 | |
| 7 | 2021 | 16 | |
| 8 | 2016 | 10 | |
| 9 | 2020 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2019 | 6 | |
| 13 | 2020 | 5 | |
| 14 | 2020 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2019 | 3 | |
| 19 | The application of fractal theory in supply chain constructing and operating models | 2004 | 2 |
| 20 | 2003 | 2 |
About Chen Jun-fang
Chen Jun-fang is a scholar working on Infectious Diseases, Epidemiology, Virology, Neurology and Clinical Psychology, having authored 30 papers that have together received 342 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (8 papers), HIV Research and Treatment (6 papers), HIV, Drug Use, Sexual Risk (5 papers), Long-Term Effects of COVID-19 (3 papers), COVID-19 Clinical Research Studies (3 papers), Pneumonia and Respiratory Infections (3 papers), COVID-19 and Mental Health (3 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Modeling and Simulation (49 citations), Infectious Diseases (197 citations), Virology (48 citations), Epidemiology (137 citations) and Health (26 citations). Chen Jun-fang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Zunyou Wu, Sarah Robbins Scott, Jennifer M. McGoogan, Zhou Sun, Zijian Fang, Jian Du, Hanqing He, Xiaoping Zhang, Zhiping Chen and Yan Liu. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Medicine, AIDS Research and Human Retroviruses, Travel Medicine and Infectious Disease and Current HIV/AIDS Reports.
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.