Wei-Yin Ko
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
-
- ECG Monitoring and Analysis
- Cardiac electrophysiology and arrhythmias
- Atrial Fibrillation Management and Outcomes
- Cardiomyopathy and Myosin Studies
- Cardiac Valve Diseases and Treatments
- Cardiovascular Function and Risk Factors
Papers in
-
- ECG Monitoring and Analysis 3
- Cardiac Valve Diseases and Treatments 2
- Cardiac electrophysiology and arrhythmias 1
- Cardiomyopathy and Myosin Studies 1
- Co-authors
- Paul A. Friedman (6 shared papers)Zachi I. Attia (4 shared papers)Peter A. Noseworthy (5 shared papers)Rickey E. Carter (4 shared papers)Francisco López-Jiménez (2 shared papers)Bernard J. Gersh (1 shared paper)Suraj Kapa (1 shared paper)Jeffrey B. Geske (1 shared paper)
- Journals
- Journal of the American College of Cardiology (3 papers)European Heart Journal (1 paper)PubMed (2 papers)
- Partner nations
- United States
In The Last Decade
Wei-Yin Ko
8 papers receiving 490 citations
Wei-Yin Ko's Hit Papers
Peers
Comparison fields: 5 of 55
- Health Informatics 50
- Cardiology and Cardiovascular Medicine 330
- Health Information Management 23
- Radiology, Nuclear Medicine and Imaging 50
- Cognitive Neuroscience 40
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 | Detection of Hypertrophic Cardiomyopathy Using a Convolutional Neural Network-Enabled Electrocardiogram Hit paper breakdown → | 2020 | 256 |
| 2 | Electrocardiogram screening for aortic valve stenosis using artificial intelligence Hit paper breakdown → | 2021 | 139 |
| 3 | 2020 | 56 | |
| 4 | 2024 | 21 | |
| 5 | 2021 | 21 | |
| 6 | 2024 | 3 | |
| 7 | 2020 | 2 | |
| 8 | 2020 | 2 |
About Wei-Yin Ko
Wei-Yin Ko is a scholar working on Cardiology and Cardiovascular Medicine, General Health Professions, Cognitive Neuroscience, Artificial Intelligence and Language and Linguistics, having authored 8 papers that have together received 500 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (3 papers), Cardiac Valve Diseases and Treatments (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Natural Language Processing Techniques (1 paper), EEG and Brain-Computer Interfaces (1 paper), Translation Studies and Practices (1 paper), Cardiomyopathy and Myosin Studies (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Health Informatics (50 citations), Cardiology and Cardiovascular Medicine (330 citations), Health Information Management (23 citations), Radiology, Nuclear Medicine and Imaging (50 citations) and Cognitive Neuroscience (40 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, Francisco López-Jiménez, Bernard J. Gersh, Suraj Kapa, Jeffrey B. Geske, Samuel J. Asirvatham and Konstantinos C. Siontis. Their work appears in journals such as Journal of the American College of Cardiology, European Heart Journal and PubMed.
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.