Bryan D. He
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- Cardiovascular Function and Risk Factors
- Cardiac Valve Diseases and Treatments
Papers in
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- Cardiovascular Function and Risk Factors 8
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- Cardiac Imaging and Diagnostics 4
- Co-authors
- James Zou (18 shared papers)David Ouyang (17 shared papers)David H. Liang (5 shared papers)Euan Angus Ashley (4 shared papers)Amirata Ghorbani (2 shared papers)Robert A. Harrington (2 shared papers)Neal Yuan (7 shared papers)Joseph E. Ebinger (4 shared papers)
- Journals
- Nature (3 papers)npj Digital Medicine (2 papers)Artificial Intelligence in Medicine (1 paper)Cell Reports Methods (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesSwedenCanada
In The Last Decade
Bryan D. He
35 papers receiving 2.2k citations
Bryan D. He's Hit Papers
Peers
Comparison fields: 5 of 139
- Health Informatics 246
- Cardiology and Cardiovascular Medicine 690
- Radiology, Nuclear Medicine and Imaging 635
- Biophysics 120
- Health Information Management 92
Countries citing papers authored by Bryan D. He
This map shows the geographic impact of Bryan D. He'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 Bryan D. He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan D. He more than expected).
Fields of papers citing papers by Bryan D. He
This network shows the impact of papers produced by Bryan D. He. 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 Bryan D. He. The network helps show where Bryan D. He may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan D. He, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Video-based AI for beat-to-beat assessment of cardiac function Hit paper breakdown → | 2020 | 710 |
| 2 | Deep learning interpretation of echocardiograms Hit paper breakdown → | 2020 | 358 |
| 3 | Integrating spatial gene expression and breast tumour morphology via deep learning Hit paper breakdown → | 2020 | 338 |
| 4 | Blinded, randomized trial of sonographer versus AI cardiac function assessment Hit paper breakdown → | 2023 | 160 |
| 5 | 2022 | 148 | |
| 6 | 2021 | 117 | |
| 7 | 2021 | 45 | |
| 8 | Learning the Structure of Generative Models without Labeled Data. | 2017 | 37 |
| 9 | 2022 | 36 | |
| 10 | 2023 | 36 | |
| 11 | 2023 | 32 | |
| 12 | 2021 | 28 | |
| 13 | 2021 | 23 | |
| 14 | 2024 | 19 | |
| 15 | 2022 | 19 | |
| 16 | 2013 | 17 | |
| 17 | 2017 | 15 | |
| 18 | 2021 | 13 | |
| 19 | 2021 | 13 | |
| 20 | 2016 | 12 |
About Bryan D. He
Bryan D. He is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Biophysics, Artificial Intelligence and Critical Care and Intensive Care Medicine, having authored 37 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (8 papers), Single-cell and spatial transcriptomics (4 papers), Cardiac Imaging and Diagnostics (4 papers), AI in cancer detection (4 papers), Cell Image Analysis Techniques (3 papers), Neuroscience and Neural Engineering (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Phonocardiography and Auscultation Techniques (2 papers). The work is most often cited by research in Health Informatics (246 citations), Cardiology and Cardiovascular Medicine (690 citations), Radiology, Nuclear Medicine and Imaging (635 citations), Biophysics (120 citations) and Health Information Management (92 citations). Bryan D. He has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include James Zou, David Ouyang, David H. Liang, Euan Angus Ashley, Amirata Ghorbani, Robert A. Harrington, Neal Yuan, Joseph E. Ebinger, Abubakar Abid and Paul A. Heidenreich. Their work appears in journals such as Nature, npj Digital Medicine, Artificial Intelligence in Medicine, Cell Reports Methods and Nature Medicine.
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.