Hung-Chia Chen
Impact in
- Hepatology top 10%
- Hepatitis C virus research
-
- Vibrio bacteria research studies
Papers in
-
- Bioinformatics and Genomic Networks 3
- Identification and Quantification in Food 2
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- Scientific Measurement and Uncertainty Evaluation 3
- Advanced Statistical Process Monitoring 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 Hise (2 shared papers)Ding‐Shinn Chen (2 shared papers)Ming‐Yang Lai (1 shared paper)
- Journals
- PLoS ONE (3 papers)BMC Medical Research Methodology (2 papers)Pharmacogenomics (1 paper)Measurement (1 paper)Hepatology International (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Hung-Chia Chen
17 papers receiving 287 citations
Peers
Comparison fields: 5 of 115
- Hepatology 55
- Endocrinology 24
- Statistics, Probability and Uncertainty 17
- Food Science 42
- Statistics and Probability 16
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 | 54 | |
| 3 | 2020 | 34 | |
| 4 | 2012 | 26 | |
| 5 | 2013 | 18 | |
| 6 | 2013 | 18 | |
| 7 | 2010 | 18 | |
| 8 | 2013 | 16 | |
| 9 | 2013 | 11 | |
| 10 | 2013 | 9 | |
| 11 | 2011 | 8 | |
| 12 | 2007 | 7 | |
| 13 | 2012 | 5 | |
| 14 | 2014 | 4 | |
| 15 | 2013 | 3 | |
| 16 | 1995 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2011 | 0 |
About Hung-Chia Chen
Hung-Chia Chen is a scholar working on Molecular Biology, Statistics, Probability and Uncertainty, Epidemiology, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 297 indexed citations. Recurring topics across this work include Scientific Measurement and Uncertainty Evaluation (3 papers), Bioinformatics and Genomic Networks (3 papers), Advanced Statistical Process Monitoring (2 papers), Hepatitis B Virus Studies (2 papers), Hepatitis C virus research (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Identification and Quantification in Food (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Hepatology (55 citations), Endocrinology (24 citations), Statistics, Probability and Uncertainty (17 citations), Food Science (42 citations) and Statistics and Probability (16 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 Hise, Ding‐Shinn Chen, Ming‐Yang Lai, Ching‐Sheng Hsu and Chen‐Hua Liu. Their work appears in journals such as PLoS ONE, BMC Medical Research Methodology, Pharmacogenomics, Measurement and Hepatology International.
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.