Hsing‐Yi Chung
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
Papers in
-
- SARS-CoV-2 detection and testing 16
- SARS-CoV-2 and COVID-19 Research 8
- Viral gastroenteritis research and epidemiology 5
-
- Respiratory viral infections research 4
- Co-authors
- Hung‐Sheng Shang (33 shared papers)Cherng‐Lih Perng (28 shared papers)Ming‐Jr Jian (25 shared papers)Chih-Kai Chang (21 shared papers)Chien‐Wen Chen (17 shared papers)Feng‐Yee Chang (15 shared papers)Kuo‐Ming Yeh (13 shared papers)Jung‐Chung Lin (14 shared papers)
In The Last Decade
Hsing‐Yi Chung
30 papers receiving 371 citations
Peers
Comparison fields: 5 of 68
- Infectious Diseases 186
- Health Informatics 9
- Endocrinology 34
- Molecular Medicine 14
- Radiology, Nuclear Medicine and Imaging 57
Countries citing papers authored by Hsing‐Yi Chung
This map shows the geographic impact of Hsing‐Yi Chung'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 Hsing‐Yi Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsing‐Yi Chung more than expected).
Fields of papers citing papers by Hsing‐Yi Chung
This network shows the impact of papers produced by Hsing‐Yi Chung. 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 Hsing‐Yi Chung. The network helps show where Hsing‐Yi Chung may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsing‐Yi Chung, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 74 | |
| 2 | 2009 | 38 | |
| 3 | 2022 | 35 | |
| 4 | 2021 | 31 | |
| 5 | 2019 | 27 | |
| 6 | 2021 | 19 | |
| 7 | 2021 | 19 | |
| 8 | 2020 | 17 | |
| 9 | 2022 | 14 | |
| 10 | 2020 | 10 | |
| 11 | 2025 | 10 | |
| 12 | 2019 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2024 | 8 | |
| 15 | 2024 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2024 | 7 | |
| 18 | 2011 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2021 | 4 |
About Hsing‐Yi Chung
Hsing‐Yi Chung is a scholar working on Infectious Diseases, Epidemiology, Clinical Biochemistry, Endocrinology and Molecular Biology, having authored 36 papers that have together received 378 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (16 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Bacterial Identification and Susceptibility Testing (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Infections and bacterial resistance (4 papers), Respiratory viral infections research (4 papers), Boron Compounds in Chemistry (2 papers) and Boron and Carbon Nanomaterials Research (2 papers). The work is most often cited by research in Infectious Diseases (186 citations), Health Informatics (9 citations), Endocrinology (34 citations), Molecular Medicine (14 citations) and Radiology, Nuclear Medicine and Imaging (57 citations). Hsing‐Yi Chung has collaborated with scholars based in Taiwan, Japan and Uganda. Frequent co-authors include Hung‐Sheng Shang, Cherng‐Lih Perng, Ming‐Jr Jian, Chih-Kai Chang, Chien‐Wen Chen, Feng‐Yee Chang, Kuo‐Ming Yeh, Jung‐Chung Lin, F.I. Chou and C.-W. Chi. Their work appears in journals such as International Journal of Infectious Diseases, Journal of Medical Internet Research, PeerJ, Infection and Drug Resistance and Clinica Chimica Acta.
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.