David Ouyang
- Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education 9
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- Cardiovascular Function and Risk Factors 31
- ECG Monitoring and Analysis 15
- Cardiac Valve Diseases and Treatments 10
- Cardiac electrophysiology and arrhythmias 9
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- Cardiac Imaging and Diagnostics 28
- Radiomics and Machine Learning in Medical Imaging 8
- Health Information Management top 0.5%
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- Advanced X-ray and CT Imaging 8
David Ouyang
102 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Health Informatics 526
- Cardiology and Cardiovascular Medicine 1.2k
- Radiology, Nuclear Medicine and Imaging 1.0k
- Health Information Management 198
- Critical Care and Intensive Care Medicine 115
Countries citing papers authored by David Ouyang
This map shows the geographic impact of David Ouyang'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 David Ouyang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Ouyang more than expected).
Fields of papers citing papers by David Ouyang
This network shows the impact of papers produced by David Ouyang. 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 David Ouyang. The network helps show where David Ouyang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Ouyang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 15 | |
| 7 | 2024 | 10 | |
| 8 | 2024 | 24 | |
| 9 | 2024 | 8 | |
| 10 | 2024 | 23 | |
| 11 | 2024 | 14 | |
| 12 | 2023 | 57 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 63 | |
| 15 | 2022 | 40 | |
| 16 | 2022 | 58 | |
| 17 | 2022 | 27 | |
| 18 | 2022 | 43 | |
| 19 | 2022 | 4 | |
| 20 | 2018 | 45 |
About David Ouyang
David Ouyang is a scholar working on Health Informatics, Medical Terminology, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Gender Studies, having authored 116 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (31 papers), Cardiac Imaging and Diagnostics (28 papers), ECG Monitoring and Analysis (15 papers), Cardiac Valve Diseases and Treatments (10 papers), Cardiac electrophysiology and arrhythmias (9 papers), Artificial Intelligence in Healthcare and Education (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Advanced X-ray and CT Imaging (8 papers). The work is most often cited by research in Health Informatics (526 citations), Cardiology and Cardiovascular Medicine (1.2k citations), Radiology, Nuclear Medicine and Imaging (1.0k citations), Health Information Management (198 citations) and Critical Care and Intensive Care Medicine (115 citations). David Ouyang has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include James Zou, Bryan He, Neal Yuan, Euan A. Ashley, David Liang, Robert A. Harrington, Joseph E. Ebinger, Amirata Ghorbani, Jonathan H. Chen and Susan Cheng. Their work appears in journals such as npj Digital Medicine, Circulation, JAMA Cardiology, Journal of the American Society of Echocardiography and Journal of the American College of Cardiology.
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.