Ding Chen
Impact in
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- MicroRNA in disease regulation
Papers in
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- Fluid Dynamics Simulations and Interactions 9
- Fluid Dynamics and Heat Transfer 2
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- Numerical methods in engineering 7
- Co-authors
- Han Ding (7 shared papers)Xiaojian Zhang (5 shared papers)Wenxiong Huang (6 shared papers)Huan Zhao (1 shared paper)Dan Huang (9 shared papers)Jia Qu (2 shared papers)Zongming Song (2 shared papers)Chunyou Wang (3 shared papers)
In The Last Decade
Ding Chen
24 papers receiving 534 citations
Peers
Comparison fields: 5 of 80
- Aging 15
- Cancer Research 111
- Business and International Management 9
- Molecular Biology 254
- Industrial and Manufacturing Engineering 37
Countries citing papers authored by Ding Chen
This map shows the geographic impact of Ding 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 Ding Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding Chen more than expected).
Fields of papers citing papers by Ding Chen
This network shows the impact of papers produced by Ding 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 Ding Chen. The network helps show where Ding Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ding 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 135 | |
| 2 | 2017 | 109 | |
| 3 | 2021 | 61 | |
| 4 | 2017 | 27 | |
| 5 | 2014 | 25 | |
| 6 | 2020 | 24 | |
| 7 | 2023 | 16 | |
| 8 | 2020 | 16 | |
| 9 | 2023 | 16 | |
| 10 | 2024 | 14 | |
| 11 | 2018 | 13 | |
| 12 | 2015 | 13 | |
| 13 | 2017 | 12 | |
| 14 | 2023 | 11 | |
| 15 | 2023 | 11 | |
| 16 | 2020 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2024 | 5 | |
| 20 | 2024 | 4 |
About Ding Chen
Ding Chen is a scholar working on Computational Mechanics, Mechanics of Materials, Civil and Structural Engineering, Mechanical Engineering and Biomedical Engineering, having authored 29 papers that have together received 539 indexed citations. Recurring topics across this work include Fluid Dynamics Simulations and Interactions (9 papers), Numerical methods in engineering (7 papers), Advanced machining processes and optimization (6 papers), Advanced Surface Polishing Techniques (5 papers), Geotechnical Engineering and Underground Structures (4 papers), Advanced Machining and Optimization Techniques (3 papers), Fluid Dynamics and Heat Transfer (2 papers) and Advanced Measurement and Metrology Techniques (2 papers). The work is most often cited by research in Aging (15 citations), Cancer Research (111 citations), Business and International Management (9 citations), Molecular Biology (254 citations) and Industrial and Manufacturing Engineering (37 citations). Ding Chen has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Han Ding, Xiaojian Zhang, Wenxiong Huang, Huan Zhao, Dan Huang, Jia Qu, Zongming Song, Chunyou Wang, Gang Zhao and Mengqi Huang. Their work appears in journals such as Computers and Geotechnics, Engineering Analysis with Boundary Elements, The International Journal of Advanced Manufacturing Technology, International Journal of Mechanical Sciences and Mechanical Systems and Signal Processing.
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.