Hung-Chia Chen
Impact in
- Hepatology top 10%
- Hepatitis C virus research
-
- Vibrio bacteria research studies
Papers in
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- Scientific Measurement and Uncertainty Evaluation 3
- Advanced Statistical Process Monitoring 2
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- Hepatitis C virus research 2
- Co-authors
- James J. Chen (9 shared papers)Sung-Shun Weng (2 shared papers)Ralph L. Kodell (1 shared paper)Wei‐Jiun Lin (4 shared papers)Wen Zou (5 shared papers)Kelley B. Hise (2 shared papers)Chun‐Jen Liu (2 shared papers)Ming‐Yang Lai (1 shared paper)
- Journals
- PLoS ONE (3 papers)BMC Medical Research Methodology (2 papers)Hepatology International (1 paper)Journal of Clinical Microbiology (1 paper)Pharmacogenomics (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Hung-Chia Chen
17 papers receiving 306 citations
Peers
Comparison fields: 5 of 110
- Hepatology 57
- Endocrinology 21
- Statistics, Probability and Uncertainty 19
- Food Science 43
- Toxicology 7
Countries citing papers authored by Hung-Chia Chen
This map shows the geographic impact of Hung-Chia 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 Hung-Chia Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung-Chia Chen more than expected).
Fields of papers citing papers by Hung-Chia Chen
This network shows the impact of papers produced by Hung-Chia 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 Hung-Chia Chen. The network helps show where Hung-Chia Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Hung-Chia 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
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 60 | |
| 2 | 2011 | 58 | |
| 3 | 2020 | 35 | |
| 4 | 2012 | 26 | |
| 5 | 2010 | 20 | |
| 6 | 2013 | 19 | |
| 7 | 2013 | 19 | |
| 8 | 2013 | 19 | |
| 9 | 2013 | 13 | |
| 10 | 2013 | 11 | |
| 11 | 2007 | 8 | |
| 12 | 2011 | 8 | |
| 13 | 2014 | 7 | |
| 14 | 2012 | 5 | |
| 15 | 1995 | 4 | |
| 16 | 2013 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2011 | 0 |
About Hung-Chia Chen
Hung-Chia Chen is a scholar working on Statistics, Probability and Uncertainty, Hepatology, Toxicology, Music and Biophysics, having authored 18 papers that have together received 318 indexed citations. Recurring topics across this work include Scientific Measurement and Uncertainty Evaluation (3 papers), Advanced Statistical Process Monitoring (2 papers), Bioinformatics and Genomic Networks (2 papers), Hepatitis C virus research (2 papers), Gene Regulatory Network Analysis (1 paper), Sensor Technology and Measurement Systems (1 paper), Advanced Statistical Methods and Models (1 paper) and Pharmacovigilance and Adverse Drug Reactions (1 paper). The work is most often cited by research in Hepatology (57 citations), Endocrinology (21 citations), Statistics, Probability and Uncertainty (19 citations), Food Science (43 citations) and Toxicology (7 citations). Hung-Chia Chen has collaborated with scholars based in Taiwan and United States. Frequent co-authors include James J. Chen, Sung-Shun Weng, Ralph L. Kodell, Wei‐Jiun Lin, Wen Zou, Kelley B. Hise, Chun‐Jen Liu, Ming‐Yang Lai, Pei‐Jer Chen and Jia‐Horng Kao. Their work appears in journals such as PLoS ONE, BMC Medical Research Methodology, Hepatology International, Journal of Clinical Microbiology and Pharmacogenomics.
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.