Wei-Yin Ko
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- ECG Monitoring and Analysis
- Cardiac electrophysiology and arrhythmias
- Cardiac Valve Diseases and Treatments
- Cardiovascular Function and Risk Factors
Papers in
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- ECG Monitoring and Analysis 3
- Cardiac electrophysiology and arrhythmias 2
- Cardiac Valve Diseases and Treatments 2
- Atrial Fibrillation Management and Outcomes 1
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- EEG and Brain-Computer Interfaces 2
- Co-authors
- Paul A. Friedman (5 shared papers)Zachi I. Attia (3 shared papers)Peter A. Noseworthy (4 shared papers)Rickey E. Carter (3 shared papers)Anthony H. Kashou (3 shared papers)Héctor I. Michelena (2 shared papers)Saki Ito (2 shared papers)Patrick W. Johnson (1 shared paper)
- Journals
- Journal of the American College of Cardiology (2 papers)European Heart Journal (1 paper)SHILAP Revista de lepidopterología (2 papers)
- Partner nations
- United States
In The Last Decade
Wei-Yin Ko
7 papers receiving 212 citations
Wei-Yin Ko's Hit Papers
Peers
Comparison fields: 5 of 42
- Health Informatics 33
- Cardiology and Cardiovascular Medicine 168
- Health Information Management 10
- Radiology, Nuclear Medicine and Imaging 44
- Cognitive Neuroscience 32
Countries citing papers authored by Wei-Yin Ko
This map shows the geographic impact of Wei-Yin Ko'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 Wei-Yin Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei-Yin Ko more than expected).
Fields of papers citing papers by Wei-Yin Ko
This network shows the impact of papers produced by Wei-Yin Ko. 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 Wei-Yin Ko. The network helps show where Wei-Yin Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei-Yin Ko, 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 | Electrocardiogram screening for aortic valve stenosis using artificial intelligence Hit paper breakdown → | 2021 | 126 |
| 2 | 2020 | 49 | |
| 3 | 2021 | 19 | |
| 4 | 2024 | 17 | |
| 5 | 2024 | 3 | |
| 6 | 2020 | 2 | |
| 7 | 2020 | 2 |
About Wei-Yin Ko
Wei-Yin Ko is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, General Health Professions, Artificial Intelligence and Language and Linguistics, having authored 7 papers that have together received 218 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), EEG and Brain-Computer Interfaces (2 papers), Cardiac Valve Diseases and Treatments (2 papers), Interpreting and Communication in Healthcare (1 paper), Natural Language Processing Techniques (1 paper), Atrial Fibrillation Management and Outcomes (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Health Informatics (33 citations), Cardiology and Cardiovascular Medicine (168 citations), Health Information Management (10 citations), Radiology, Nuclear Medicine and Imaging (44 citations) and Cognitive Neuroscience (32 citations). Wei-Yin Ko has collaborated with scholars based in United States. Frequent co-authors include Paul A. Friedman, Zachi I. Attia, Peter A. Noseworthy, Rickey E. Carter, Anthony H. Kashou, Héctor I. Michelena, Saki Ito, Patrick W. Johnson, Francisco López-Jiménez and Jae K. Oh. Their work appears in journals such as Journal of the American College of Cardiology, European Heart Journal and SHILAP Revista de lepidopterología.
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.