Bryan He

3.5k total citations · 4 hit papers
31 papers, 1.6k citations indexed

About

Bryan He is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Bryan He has authored 31 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Cognitive Neuroscience. Recurrent topics in Bryan He's work include Cardiovascular Function and Risk Factors (10 papers), Cardiac Imaging and Diagnostics (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Bryan He is often cited by papers focused on Cardiovascular Function and Risk Factors (10 papers), Cardiac Imaging and Diagnostics (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Bryan He collaborates with scholars based in United States, Denmark and Sweden. Bryan He's 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 and has published in prestigious journals such as Nature, Circulation and Nature Medicine.

In The Last Decade

Bryan He

29 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Video-based AI for beat-to-beat assessment of cardiac function

2020 519 citations David Ouyang, Bryan He et al. Nature profile →
Deep learning interpretation of echocardiograms

2020 288 citations Amirata Ghorbani, David Ouyang et al. npj Digital Medicine profile →
Integrating spatial gene expression and breast tumour morphology via deep learning

2020 261 citations Bryan He, Ludvig Bergenstråhle et al. Nature Biomedical Engineering profile →
Blinded, randomized trial of sonographer versus AI cardiac function assessment

2023 116 citations Bryan He, Alan C. Kwan et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Bryan He United States	14	672	610	348	314	222	31	1.6k
Luca Saba Italy	28	762 1.1×	533 0.9×	437 1.3×	73 0.2×	139 0.6×	67	1.9k
Jasjit S. Suri United States	21	370 0.6×	410 0.7×	412 1.2×	73 0.2×	72 0.3×	37	1.3k
Timothy J. W. Dawes United Kingdom	17	615 0.9×	531 0.9×	165 0.5×	68 0.2×	76 0.3×	39	1.5k
Brandon K. Fornwalt United States	24	619 0.9×	1.2k 1.9×	154 0.4×	77 0.2×	115 0.5×	80	1.9k
Avinash V. Varadarajan United States	8	1.1k 1.6×	135 0.2×	298 0.9×	69 0.2×	219 1.0×	10	1.6k
Fajin Dong China	15	335 0.5×	148 0.2×	174 0.5×	88 0.3×	61 0.3×	99	1.0k
Evrim Türkbey United States	30	1.8k 2.6×	1.6k 2.7×	448 1.3×	226 0.7×	91 0.4×	94	3.6k
Frédéric Commandeur United States	17	1.1k 1.6×	1.0k 1.7×	137 0.4×	55 0.2×	99 0.4×	33	1.7k
Kristen M. Meiburger Italy	24	582 0.9×	400 0.7×	332 1.0×	68 0.2×	32 0.1×	90	1.5k
Jonathan D Suever United States	18	406 0.6×	764 1.3×	95 0.3×	76 0.2×	84 0.4×	42	1.4k

Countries citing papers authored by Bryan He

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Bryan He

This figure shows the co-authorship network connecting the top 25 collaborators of Bryan He. A scholar is included among the top collaborators of Bryan He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bryan He. Bryan He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Thapa, Rahul, et al.. (2026). A multimodal sleep foundation model for disease prediction. Nature Medicine. 32(2). 752–762.

Chiu, I-Min, Neal Yuan, Tien‐Yu Chen, et al.. (2025). Comprehensive echocardiogram evaluation with view primed vision language AI. Nature. 650(8103). 970–977. 1 indexed citations

Bowdish, Michael E., et al.. (2024). Deep learning for transesophageal echocardiography view classification. Scientific Reports. 14(1). 11–11. 15 indexed citations

Thapa, Rahul, et al.. (2024). SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals. arXiv (Cornell University).

He, Bryan, Alan C. Kwan, Jae Hyung Cho, et al.. (2023). Blinded, randomized trial of sonographer versus AI cardiac function assessment. Nature. 616(7957). 520–524. 116 indexed citations breakdown →

He, Bryan, et al.. (2023). AI-ENABLED ASSESSMENT OF CARDIAC FUNCTION AND VIDEO QUALITY IN EMERGENCY DEPARTMENT POINT-OF-CARE ECHOCARDIOGRAMS. Journal of Emergency Medicine. 66(2). 184–191. 6 indexed citations

Lopez, Leo, et al.. (2023). Video-Based Deep Learning for Automated Assessment of Left Ventricular Ejection Fraction in Pediatric Patients. Journal of the American Society of Echocardiography. 36(5). 482–489. 22 indexed citations

He, Bryan, Syed Bukhari, Edward Fox, et al.. (2022). AI-enabled in silico immunohistochemical characterization for Alzheimer's disease. Cell Reports Methods. 2(4). 100191–100191. 15 indexed citations

Duffy, Grant, Shoa L. Clarke, Bryan He, et al.. (2022). Confounders mediate AI prediction of demographics in medical imaging. npj Digital Medicine. 5(1). 188–188. 27 indexed citations

10.

Bergenstråhle, Ludvig, Bryan He, Joseph Bergenstråhle, et al.. (2021). Super-resolved spatial transcriptomics by deep data fusion. Nature Biotechnology. 40(4). 476–479. 90 indexed citations

11.

Duffy, Grant, Paul Cheng, Bryan He, et al.. (2021). Abstract 12669: Precision Phenotyping of Left Ventricular Hypertrophy With Echocardiographic Deep Learning. Circulation. 144(Suppl_1). 1 indexed citations

12.

Hughes, J. Weston, Neal Yuan, Bryan He, et al.. (2021). Deep learning evaluation of biomarkers from echocardiogram videos. EBioMedicine. 73. 103613–103613. 37 indexed citations

13.

He, Bryan, Matthew Thomson, Meena Subramaniam, et al.. (2021). CloudPred: Predicting Patient Phenotypes From Single-cell RNA-seq. 337–348. 8 indexed citations

14.

Daneshjou, Roxana, Bryan He, David Ouyang, & James Zou. (2021). How to evaluate deep learning for cancer diagnostics – factors and recommendations. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1875(2). 188515–188515. 23 indexed citations

15.

He, Bryan, Ludvig Bergenstråhle, Linnea Stenbeck, et al.. (2020). Integrating spatial gene expression and breast tumour morphology via deep learning. Nature Biomedical Engineering. 4(8). 827–834. 261 indexed citations breakdown →

16.

Ouyang, David, Bryan He, Amirata Ghorbani, et al.. (2020). Video-based AI for beat-to-beat assessment of cardiac function. Nature. 580(7802). 252–256. 519 indexed citations breakdown →

17.

Ghorbani, Amirata, David Ouyang, Abubakar Abid, et al.. (2020). Deep learning interpretation of echocardiograms. npj Digital Medicine. 3(1). 10–10. 288 indexed citations breakdown →

18.

Xu, Peng, Bryan He, Christopher De, Ioannis Mitliagkas, & Christopher Ré. (2018). Accelerated Stochastic Power Iteration. International Conference on Artificial Intelligence and Statistics. 58–67. 10 indexed citations

19.

Varma, Paroma, Bryan He, Dan Iter, et al.. (2016). Socratic Learning: Correcting Misspecified Generative Models using Discriminative Models. arXiv (Cornell University). 3 indexed citations

20.

He, Bryan, et al.. (2016). Signal quality of endovascular electroencephalography. Journal of Neural Engineering. 13(1). 16016–16016. 10 indexed citations

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.

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