Bryan He
- Health Informatics top 0.5%
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- Cardiac Imaging and Diagnostics 5
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- Cardiovascular Function and Risk Factors 10
- Biophysics top 5%
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- EEG and Brain-Computer Interfaces 4
- Neural dynamics and brain function 3
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- Single-cell and spatial transcriptomics 3
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- AI in cancer detection 3
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- Neuroscience and Neural Engineering 3
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- Hemodynamic Monitoring and Therapy 3
Bryan He
29 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Health Informatics 222
- Radiology, Nuclear Medicine and Imaging 672
- Cardiology and Cardiovascular Medicine 610
- Biophysics 96
- Health Information Management 76
Countries citing papers authored by Bryan He
This map shows the geographic impact of Bryan 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 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 He more than expected).
Fields of papers citing papers by Bryan He
This network shows the impact of papers produced by Bryan 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 He. The network helps show where Bryan He may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bryan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 15 | |
| 4 | 2024 | 0 | |
| 5 | Blinded, randomized trial of sonographer versus AI cardiac function assessmentbreakdown → | 2023 | 116 |
| 6 | 2023 | 6 | |
| 7 | 2023 | 22 | |
| 8 | 2022 | 15 | |
| 9 | 2022 | 27 | |
| 10 | 2021 | 90 | |
| 11 | 2021 | 1 | |
| 12 | 2021 | 37 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 23 | |
| 15 | Integrating spatial gene expression and breast tumour morphology via deep learningbreakdown → | 2020 | 261 |
| 16 | Video-based AI for beat-to-beat assessment of cardiac functionbreakdown → | 2020 | 519 |
| 17 | Deep learning interpretation of echocardiogramsbreakdown → | 2020 | 288 |
| 18 | Accelerated Stochastic Power Iteration | 2018 | 10 |
| 19 | Socratic Learning: Correcting Misspecified Generative Models using Discriminative Models | 2016 | 3 |
| 20 | 2016 | 10 |
About Bryan He
Bryan He is a scholar working on Health Informatics, Cardiology and Cardiovascular Medicine, Biophysics, Critical Care and Intensive Care Medicine and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (10 papers), Cardiac Imaging and Diagnostics (5 papers), EEG and Brain-Computer Interfaces (4 papers), Neural dynamics and brain function (3 papers), Single-cell and spatial transcriptomics (3 papers), AI in cancer detection (3 papers), Neuroscience and Neural Engineering (3 papers) and Hemodynamic Monitoring and Therapy (3 papers). The work is most often cited by research in Health Informatics (222 citations), Radiology, Nuclear Medicine and Imaging (672 citations), Cardiology and Cardiovascular Medicine (610 citations), Biophysics (96 citations) and Health Information Management (76 citations). Bryan He has collaborated with scholars based in United States, Denmark and Sweden. Frequent co-authors include James Zou, David Ouyang, David Liang, Euan A. Ashley, Amirata Ghorbani, Robert A. Harrington, Neal Yuan, Abubakar Abid, Joseph E. Ebinger and Paul A. Heidenreich. Their work appears in journals such as Nature, Circulation, npj Digital Medicine, Scientific Reports 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.