Chi-Wei Chen
Impact in
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- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
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- MicroRNA in disease regulation
Papers in ⓘ
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- Machine Learning in Bioinformatics 13
- Genomics and Phylogenetic Studies 6
- Protein Structure and Dynamics 6
- RNA and protein synthesis mechanisms 6
- Ubiquitin and proteasome pathways 4
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- Hydraulic flow and structures 3
- Co-authors
- Yen-Wei Chu (27 shared papers)Jerome Lin (1 shared paper)Hsung‐Pin Chang (4 shared papers)Meng‐Han Lin (2 shared papers)Chi‐Chang Chang (6 shared papers)Weijie Pan (2 shared papers)Chi‐Hua Tung (5 shared papers)Hsing‐Fun Hsu (1 shared paper)
- Journals
- PLoS ONE (4 papers)Scientific Reports (2 papers)Computational and Structural Biotechnology Journal (2 papers)Journal of Polymer Research (1 paper)Mathematical Biosciences (1 paper)
- Partner nations
- TaiwanFranceSouth Korea
In The Last Decade
Chi-Wei Chen
34 papers receiving 530 citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 377
- Cancer Research 42
- Genetics 66
- Computational Theory and Mathematics 29
- Biochemistry 13
Countries citing papers authored by Chi-Wei Chen
This map shows the geographic impact of Chi-Wei 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 Chi-Wei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi-Wei Chen more than expected).
Fields of papers citing papers by Chi-Wei Chen
This network shows the impact of papers produced by Chi-Wei 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 Chi-Wei Chen. The network helps show where Chi-Wei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi-Wei 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
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 189 | |
| 2 | 2020 | 79 | |
| 3 | 2011 | 40 | |
| 4 | 2018 | 32 | |
| 5 | 2011 | 25 | |
| 6 | 2020 | 19 | |
| 7 | 2013 | 19 | |
| 8 | 2020 | 12 | |
| 9 | 2020 | 11 | |
| 10 | 2016 | 9 | |
| 11 | 2020 | 9 | |
| 12 | 2019 | 9 | |
| 13 | 2018 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2017 | 8 | |
| 16 | 2019 | 8 | |
| 17 | 2018 | 8 | |
| 18 | 2014 | 7 | |
| 19 | 2023 | 5 | |
| 20 | 2012 | 5 |
About Chi-Wei Chen
Chi-Wei Chen is a scholar working on Molecular Biology, Civil and Structural Engineering, Ecology, Computational Theory and Mathematics and Plant Science, having authored 38 papers that have together received 541 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (13 papers), Genomics and Phylogenetic Studies (6 papers), Protein Structure and Dynamics (6 papers), RNA and protein synthesis mechanisms (6 papers), Hydrology and Sediment Transport Processes (4 papers), Computational Drug Discovery Methods (4 papers), Ubiquitin and proteasome pathways (4 papers) and Hydraulic flow and structures (3 papers). The work is most often cited by research in Molecular Biology (377 citations), Cancer Research (42 citations), Genetics (66 citations), Computational Theory and Mathematics (29 citations) and Biochemistry (13 citations). Chi-Wei Chen has collaborated with scholars based in Taiwan, France and South Korea. Frequent co-authors include Yen-Wei Chu, Jerome Lin, Hsung‐Pin Chang, Meng‐Han Lin, Chi‐Chang Chang, Weijie Pan, Chi‐Hua Tung, Hsing‐Fun Hsu, Chang‐Hsien Yang and Kai-Po Chang. Their work appears in journals such as PLoS ONE, Scientific Reports, Computational and Structural Biotechnology Journal, Journal of Polymer Research and Mathematical Biosciences.
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.