Peng Ding
Impact in
- Aging top 10%
-
- Neurobiology and Insect Physiology Research
Papers in
-
- Computational Fluid Dynamics and Aerodynamics 5
- Advanced Numerical Methods in Computational Mathematics 3
-
- Computational Drug Discovery Methods 5
- Co-authors
- Yisheng He (4 shared papers)Jui‐Chun Kao (4 shared papers)Tzumin Lee (4 shared papers)Hung–Hsiang Yu (4 shared papers)Jun Xu (11 shared papers)Huihao Zhou (10 shared papers)Jacob S. Yang (3 shared papers)Takeshi Awasaki (3 shared papers)
- Journals
- Journal of Heat Transfer (3 papers)European Journal of Medicinal Chemistry (3 papers)Bioinformatics (2 papers)Journal of Chemical Information and Modeling (2 papers)Numerical Heat Transfer Part B Fundamentals (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Peng Ding
48 papers receiving 766 citations
Peers
Comparison fields: 5 of 117
- Aging 26
- Cellular and Molecular Neuroscience 235
- Sensory Systems 18
- Molecular Biology 244
- Computational Theory and Mathematics 58
Countries citing papers authored by Peng Ding
This map shows the geographic impact of Peng 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 Peng Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Ding more than expected).
Fields of papers citing papers by Peng Ding
This network shows the impact of papers produced by Peng 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 Peng Ding. The network helps show where Peng Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 116 | |
| 2 | 2010 | 104 | |
| 3 | 2013 | 52 | |
| 4 | 2008 | 49 | |
| 5 | 2018 | 45 | |
| 6 | 2018 | 41 | |
| 7 | 2021 | 33 | |
| 8 | 2018 | 28 | |
| 9 | 2020 | 24 | |
| 10 | 2016 | 23 | |
| 11 | 2020 | 21 | |
| 12 | 2022 | 18 | |
| 13 | 2000 | 17 | |
| 14 | 2015 | 16 | |
| 15 | 2019 | 15 | |
| 16 | 2017 | 14 | |
| 17 | 2019 | 14 | |
| 18 | 2013 | 13 | |
| 19 | 2018 | 11 | |
| 20 | 2023 | 11 |
About Peng Ding
Peng Ding is a scholar working on Computational Mechanics, Computational Theory and Mathematics, Mechanical Engineering, Molecular Biology and Surgery, having authored 49 papers that have together received 776 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (5 papers), Heat Transfer and Optimization (5 papers), Computational Drug Discovery Methods (5 papers), Computational Fluid Dynamics and Aerodynamics (5 papers), Cholesterol and Lipid Metabolism (4 papers), Numerical methods in inverse problems (3 papers), Coding theory and cryptography (3 papers) and Advanced Numerical Methods in Computational Mathematics (3 papers). The work is most often cited by research in Aging (26 citations), Cellular and Molecular Neuroscience (235 citations), Sensory Systems (18 citations), Molecular Biology (244 citations) and Computational Theory and Mathematics (58 citations). Peng Ding has collaborated with scholars based in China and United States. Frequent co-authors include Yisheng He, Jui‐Chun Kao, Tzumin Lee, Hung–Hsiang Yu, Jun Xu, Huihao Zhou, Jacob S. Yang, Takeshi Awasaki, Qiong Gu and Chih-Fei Kao. Their work appears in journals such as Journal of Heat Transfer, European Journal of Medicinal Chemistry, Bioinformatics, Journal of Chemical Information and Modeling and Numerical Heat Transfer Part B Fundamentals.
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.