Chen Ding
Impact in
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- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Protein Structure and Dynamics
- vaccines and immunoinformatics approaches
Papers in
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- Advanced Data Storage Technologies 6
- Distributed and Parallel Computing Systems 2
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- Parallel Computing and Optimization Techniques 6
- Co-authors
- Hao Lin (5 shared papers)Wei Chen (5 shared papers)Lufeng Yuan (3 shared papers)Yongchun Zuo (1 shared paper)Kuo‐Chen Chou (1 shared paper)Pengmian Feng (1 shared paper)Hui Ding (3 shared papers)Xiaohua Liu (1 shared paper)
- Journals
- North American Journal of Fisheries Management (1 paper)Journal of Proteomics (1 paper)Sustainability (1 paper)PLoS ONE (1 paper)Nutrition Reviews (1 paper)
- Partner nations
- ChinaUnited StatesTürkiye
In The Last Decade
Chen Ding
21 papers receiving 667 citations
Peers
Comparison fields: 5 of 111
- Molecular Medicine 32
- Molecular Biology 420
- Biomaterials 81
- Microbiology 24
- Computational Theory and Mathematics 69
Countries citing papers authored by Chen Ding
This map shows the geographic impact of Chen Ding'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 Chen Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Ding more than expected).
Fields of papers citing papers by Chen Ding
This network shows the impact of papers produced by Chen Ding. 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 Chen Ding. The network helps show where Chen Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Ding, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 183 | |
| 2 | 2014 | 138 | |
| 3 | 2012 | 83 | |
| 4 | 2012 | 58 | |
| 5 | 2012 | 53 | |
| 6 | 2013 | 50 | |
| 7 | 2020 | 31 | |
| 8 | 2016 | 14 | |
| 9 | 2020 | 13 | |
| 10 | 2023 | 13 | |
| 11 | 2022 | 11 | |
| 12 | 2023 | 8 | |
| 13 | 2013 | 8 | |
| 14 | 2024 | 5 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2021 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Chen Ding
Chen Ding is a scholar working on Computer Networks and Communications, Hardware and Architecture, Molecular Biology, Developmental and Educational Psychology and Social Psychology, having authored 21 papers that have together received 677 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (6 papers), Advanced Data Storage Technologies (6 papers), Machine Learning in Bioinformatics (5 papers), Obesity, Physical Activity, Diet (2 papers), RNA and protein synthesis mechanisms (2 papers), Children's Physical and Motor Development (2 papers), Genomics and Phylogenetic Studies (2 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Molecular Medicine (32 citations), Molecular Biology (420 citations), Biomaterials (81 citations), Microbiology (24 citations) and Computational Theory and Mathematics (69 citations). Chen Ding has collaborated with scholars based in China, United States and Türkiye. Frequent co-authors include Hao Lin, Wei Chen, Lufeng Yuan, Yongchun Zuo, Kuo‐Chen Chou, Pengmian Feng, Hui Ding, Xiaohua Liu, Hongchen Sun and Zhe Li. Their work appears in journals such as North American Journal of Fisheries Management, Journal of Proteomics, Sustainability, PLoS ONE and Nutrition Reviews.
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.