Keqin Ding
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Hepatology top 10%
- Hepatitis C virus research
Papers in
-
- Ultrasonics and Acoustic Wave Propagation 9
-
- Non-Destructive Testing Techniques 8
- Welding Techniques and Residual Stresses 3
- Co-authors
- Biqing Huang (1 shared paper)Qianhui Wu (1 shared paper)Nitish V. Thakor (8 shared papers)Guozhang Xu (4 shared papers)Bo Yi (3 shared papers)Zhihang Peng (4 shared papers)Yi Chen (2 shared papers)Rongbin Yu (4 shared papers)
- Journals
- Journal of Neural Engineering (3 papers)Measurement Science and Technology (2 papers)Geospatial health (2 papers)Scientific Reports (2 papers)International Journal of Rotating Machinery (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Keqin Ding
35 papers receiving 718 citations
Peers
Comparison fields: 5 of 106
- Modeling and Simulation 75
- Hepatology 72
- Infectious Diseases 87
- Civil and Structural Engineering 102
- Cognitive Neuroscience 84
Countries citing papers authored by Keqin Ding
This map shows the geographic impact of Keqin 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 Keqin Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keqin Ding more than expected).
Fields of papers citing papers by Keqin Ding
This network shows the impact of papers produced by Keqin 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 Keqin Ding. The network helps show where Keqin Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Keqin 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 121 | |
| 2 | 2018 | 113 | |
| 3 | 2011 | 83 | |
| 4 | 2020 | 61 | |
| 5 | 2019 | 37 | |
| 6 | 2012 | 34 | |
| 7 | 2011 | 30 | |
| 8 | 2020 | 27 | |
| 9 | 2020 | 24 | |
| 10 | 2020 | 24 | |
| 11 | 2018 | 20 | |
| 12 | 1998 | 18 | |
| 13 | 2019 | 17 | |
| 14 | 2024 | 16 | |
| 15 | 2021 | 13 | |
| 16 | 2017 | 12 | |
| 17 | 2012 | 10 | |
| 18 | 2020 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2010 | 8 |
About Keqin Ding
Keqin Ding is a scholar working on Mechanics of Materials, Mechanical Engineering, Civil and Structural Engineering, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 38 papers that have together received 733 indexed citations. Recurring topics across this work include Ultrasonics and Acoustic Wave Propagation (9 papers), Non-Destructive Testing Techniques (8 papers), Neuroscience and Neural Engineering (5 papers), Structural Health Monitoring Techniques (4 papers), Bladed Disk Vibration Dynamics (4 papers), COVID-19 epidemiological studies (3 papers), Welding Techniques and Residual Stresses (3 papers) and Muscle activation and electromyography studies (3 papers). The work is most often cited by research in Modeling and Simulation (75 citations), Hepatology (72 citations), Infectious Diseases (87 citations), Civil and Structural Engineering (102 citations) and Cognitive Neuroscience (84 citations). Keqin Ding has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Biqing Huang, Qianhui Wu, Nitish V. Thakor, Guozhang Xu, Bo Yi, Zhihang Peng, Yi Chen, Rongbin Yu, Hongbo Shi and Haibo Wang. Their work appears in journals such as Journal of Neural Engineering, Measurement Science and Technology, Geospatial health, Scientific Reports and International Journal of Rotating Machinery.
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.