Chi-Wei Chen
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- RNA Interference and Gene Delivery
Papers in
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- Machine Learning in Bioinformatics 12
- Protein Structure and Dynamics 6
- RNA and protein synthesis mechanisms 6
- Genomics and Phylogenetic Studies 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)Wei‐Ming Leu (1 shared paper)
In The Last Decade
Chi-Wei Chen
35 papers receiving 544 citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 356
- Cancer Research 38
- Genetics 63
- Biochemistry 13
- Computational Theory and Mathematics 28
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 | 194 | |
| 2 | 2020 | 82 | |
| 3 | 2011 | 40 | |
| 4 | 2018 | 32 | |
| 5 | 2011 | 27 | |
| 6 | 2020 | 19 | |
| 7 | 2013 | 19 | |
| 8 | 2020 | 12 | |
| 9 | 2020 | 11 | |
| 10 | 2022 | 9 | |
| 11 | 2019 | 9 | |
| 12 | 2016 | 9 | |
| 13 | 2020 | 9 | |
| 14 | 2018 | 8 | |
| 15 | 2018 | 8 | |
| 16 | 2019 | 8 | |
| 17 | 2017 | 8 | |
| 18 | 2014 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2023 | 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 555 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (12 papers), Protein Structure and Dynamics (6 papers), RNA and protein synthesis mechanisms (6 papers), Genomics and Phylogenetic Studies (6 papers), Ubiquitin and proteasome pathways (4 papers), Hydrology and Sediment Transport Processes (4 papers), Computational Drug Discovery Methods (4 papers) and Hydraulic flow and structures (3 papers). The work is most often cited by research in Molecular Biology (356 citations), Cancer Research (38 citations), Genetics (63 citations), Biochemistry (13 citations) and Computational Theory and Mathematics (28 citations). Chi-Wei Chen has collaborated with scholars based in Taiwan, France and Malaysia. Frequent co-authors include Yen-Wei Chu, Jerome Lin, Hsung‐Pin Chang, Meng‐Han Lin, Chi‐Chang Chang, Weijie Pan, Chi‐Hua Tung, Wei‐Ming Leu, Kai-Po Chang and Hsing‐Fun Hsu. Their work appears in journals such as PLoS ONE, Scientific Reports, Computational and Structural Biotechnology Journal, Mathematical Biosciences and BioMed Research 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.