Chi-Wei Chen
Impact in
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- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Enzyme Catalysis and Immobilization
- RNA Interference and Gene Delivery
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- Genomics and Rare Diseases
Papers in
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- Machine Learning in Bioinformatics 15
- Protein Structure and Dynamics 4
- Bioinformatics and Genomic Networks 2
- Ecology 4
- Hydrology and Sediment Transport Processes 4
- Co-authors
- Yen-Wei Chu (27 shared papers)Jerome Lin (1 shared paper)Hsung‐Pin Chang (4 shared papers)Chi‐Chang Chang (6 shared papers)Chi‐Hua Tung (4 shared papers)Hsing‐Fun Hsu (1 shared paper)Chang-Hsien Yang (1 shared paper)Wei‐Ming Leu (1 shared paper)
In The Last Decade
Chi-Wei Chen
34 papers receiving 590 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 295
- Genetics 111
- Clinical Biochemistry 15
- Computational Theory and Mathematics 31
- Cancer Research 23
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 209 | |
| 2 | 2020 | 86 | |
| 3 | 2011 | 46 | |
| 4 | 2018 | 36 | |
| 5 | 2011 | 29 | |
| 6 | 2013 | 20 | |
| 7 | 2020 | 19 | |
| 8 | 2020 | 16 | |
| 9 | 2016 | 11 | |
| 10 | 2020 | 11 | |
| 11 | 2022 | 11 | |
| 12 | 2019 | 10 | |
| 13 | 2018 | 9 | |
| 14 | 2019 | 9 | |
| 15 | 2020 | 9 | |
| 16 | 2018 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2014 | 7 | |
| 19 | 2017 | 7 | |
| 20 | 2023 | 6 |
About Chi-Wei Chen
Chi-Wei Chen is a scholar working on Molecular Biology, Ecology, Civil and Structural Engineering, Polymers and Plastics and Cancer Research, having authored 37 papers that have together received 601 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (15 papers), Protein Structure and Dynamics (4 papers), Hydrology and Sediment Transport Processes (4 papers), Infrastructure Maintenance and Monitoring (4 papers), Plant Molecular Biology Research (3 papers), Bioinformatics and Genomic Networks (2 papers), Advanced Polymer Synthesis and Characterization (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Molecular Biology (295 citations), Genetics (111 citations), Clinical Biochemistry (15 citations), Computational Theory and Mathematics (31 citations) and Cancer Research (23 citations). Chi-Wei Chen has collaborated with scholars based in Taiwan, France and China. Frequent co-authors include Yen-Wei Chu, Jerome Lin, Hsung‐Pin Chang, Chi‐Chang Chang, Chi‐Hua Tung, Hsing‐Fun Hsu, Chang-Hsien Yang, Wei‐Ming Leu, Philippe Reiffsteck and Christophe Chevalier. Their work appears in journals such as PLoS ONE, Scientific Reports, Computational and Structural Biotechnology Journal, BMC Bioinformatics and Journal of Systems and Software.
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.