Hui-Chen Hung
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 2
-
- Computational Drug Discovery Methods 3
- Co-authors
- Shiow‐Ju Lee (2 shared papers)Chiung-Tong Chen (2 shared papers)Yi-Yu Ke (2 shared papers)Szu-Huei Wu (2 shared papers)Teng-Kuang Yeh (1 shared paper)Huey‐Kang Sytwu (1 shared paper)John Hsu (3 shared papers)Mingyu Fang (2 shared papers)
- Journals
- Antimicrobial Agents and Chemotherapy (3 papers)Scientific Reports (2 papers)Biomedical Journal (1 paper)Organic & Biomolecular Chemistry (1 paper)Biochemistry and Biophysics Reports (1 paper)
- Partner nations
- TaiwanAustraliaUnited States
In The Last Decade
Hui-Chen Hung
8 papers receiving 325 citations
Peers
Comparison fields: 5 of 81
- Health Informatics 29
- Infectious Diseases 142
- Computational Theory and Mathematics 105
- Radiology, Nuclear Medicine and Imaging 58
- Health Information Management 11
Countries citing papers authored by Hui-Chen Hung
This map shows the geographic impact of Hui-Chen Hung'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 Hui-Chen Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui-Chen Hung more than expected).
Fields of papers citing papers by Hui-Chen Hung
This network shows the impact of papers produced by Hui-Chen Hung. 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 Hui-Chen Hung. The network helps show where Hui-Chen Hung may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui-Chen Hung, 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 | 2020 | 147 | |
| 2 | 2020 | 76 | |
| 3 | 2011 | 45 | |
| 4 | 2013 | 29 | |
| 5 | 2020 | 19 | |
| 6 | 2015 | 10 | |
| 7 | 2020 | 4 | |
| 8 | 2020 | 1 |
About Hui-Chen Hung
Hui-Chen Hung is a scholar working on Infectious Diseases, Computational Theory and Mathematics, Molecular Biology, Oncology and Epidemiology, having authored 8 papers that have together received 331 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Influenza Virus Research Studies (2 papers), Mosquito-borne diseases and control (2 papers), interferon and immune responses (1 paper), Galectins and Cancer Biology (1 paper), Malaria Research and Control (1 paper) and Insect symbiosis and bacterial influences (1 paper). The work is most often cited by research in Health Informatics (29 citations), Infectious Diseases (142 citations), Computational Theory and Mathematics (105 citations), Radiology, Nuclear Medicine and Imaging (58 citations) and Health Information Management (11 citations). Hui-Chen Hung has collaborated with scholars based in Taiwan, Australia and United States. Frequent co-authors include Shiow‐Ju Lee, Chiung-Tong Chen, Yi-Yu Ke, Szu-Huei Wu, Teng-Kuang Yeh, Huey‐Kang Sytwu, John Hsu, Mingyu Fang, Jinn‐Moon Yang and Teng-Yuan Chang. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Scientific Reports, Biomedical Journal, Organic & Biomolecular Chemistry and Biochemistry and Biophysics 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.