Cheng Ding
Impact in
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- ECG Monitoring and Analysis
- Heart Rate Variability and Autonomic Control
Papers in
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- Non-Invasive Vital Sign Monitoring 13
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- ECG Monitoring and Analysis 12
- Heart Rate Variability and Autonomic Control 4
- Co-authors
- Xiao Hu (15 shared papers)Ran Xiao (8 shared papers)Cynthia Rudin (6 shared papers)Karl Meisel (3 shared papers)Tânia Pereira (3 shared papers)Kais Gadhoumi (2 shared papers)Ting Ding (2 shared papers)Tianliang Yao (2 shared papers)
- Journals
- Physiological Measurement (6 papers)PeerJ Computer Science (3 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)IEEE Access (2 papers)Food Research International (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Cheng Ding
29 papers receiving 332 citations
Peers
Comparison fields: 5 of 90
- Health Informatics 7
- Cardiology and Cardiovascular Medicine 106
- Biomedical Engineering 121
- Cognitive Neuroscience 37
- Analytical Chemistry 16
Countries citing papers authored by Cheng Ding
This map shows the geographic impact of Cheng 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 Cheng Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng Ding more than expected).
Fields of papers citing papers by Cheng Ding
This network shows the impact of papers produced by Cheng 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 Cheng Ding. The network helps show where Cheng Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheng 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 38 | |
| 2 | 2021 | 27 | |
| 3 | 2018 | 26 | |
| 4 | 2024 | 21 | |
| 5 | 2023 | 19 | |
| 6 | 2021 | 19 | |
| 7 | 2018 | 18 | |
| 8 | 2012 | 18 | |
| 9 | 2023 | 16 | |
| 10 | 2023 | 16 | |
| 11 | 2016 | 15 | |
| 12 | 2023 | 14 | |
| 13 | 2018 | 13 | |
| 14 | 2022 | 12 | |
| 15 | 2024 | 12 | |
| 16 | 2022 | 9 | |
| 17 | 2021 | 8 | |
| 18 | 2020 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2018 | 5 |
About Cheng Ding
Cheng Ding is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery and Cognitive Neuroscience, having authored 33 papers that have together received 340 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (13 papers), ECG Monitoring and Analysis (12 papers), Heart Rate Variability and Autonomic Control (4 papers), Healthcare Technology and Patient Monitoring (3 papers), EEG and Brain-Computer Interfaces (3 papers), Hemodynamic Monitoring and Therapy (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and CO2 Reduction Techniques and Catalysts (2 papers). The work is most often cited by research in Health Informatics (7 citations), Cardiology and Cardiovascular Medicine (106 citations), Biomedical Engineering (121 citations), Cognitive Neuroscience (37 citations) and Analytical Chemistry (16 citations). Cheng Ding has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Xiao Hu, Ran Xiao, Cynthia Rudin, Karl Meisel, Tânia Pereira, Kais Gadhoumi, Ting Ding, Tianliang Yao, Yuhao Zhang and Chenwei Wu. Their work appears in journals such as Physiological Measurement, PeerJ Computer Science, IEEE Journal of Biomedical and Health Informatics, IEEE Access and Food Research International.
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.