Michael Yeung

4.6k total citations · 2 hit papers
73 papers, 2.0k citations indexed

About

Michael Yeung is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael Yeung has authored 73 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cardiology and Cardiovascular Medicine, 16 papers in Epidemiology and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael Yeung's work include Cardiac Valve Diseases and Treatments (14 papers), Acute Myocardial Infarction Research (12 papers) and Multiple Sclerosis Research Studies (11 papers). Michael Yeung is often cited by papers focused on Cardiac Valve Diseases and Treatments (14 papers), Acute Myocardial Infarction Research (12 papers) and Multiple Sclerosis Research Studies (11 papers). Michael Yeung collaborates with scholars based in United States, Canada and United Kingdom. Michael Yeung's co-authors include Evis Sala, Carola‐Bibiane Schönlieb, Leonardo Rundo, Michael Roberts, Cathal McCague, Lucian Beer, Derek Driggs, Stephan Ursprung, Jonathan Weir‐McCall and Julian Gilbey and has published in prestigious journals such as New England Journal of Medicine, JAMA and SHILAP Revista de lepidopterología.

In The Last Decade

Michael Yeung

64 papers receiving 2.0k citations

Hit Papers

Common pitfalls and recommendations for using machine lea... 2020 2026 2022 2024 2020 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Yeung United States 20 602 369 364 363 211 73 2.0k
Narendra N. Khanna India 28 830 1.4× 687 1.9× 440 1.2× 98 0.3× 169 0.8× 116 2.7k
Kenneth A. Philbrick United States 23 555 0.9× 82 0.2× 276 0.8× 75 0.2× 161 0.8× 50 2.0k
Afshin Mohammadi Iran 24 1.1k 1.7× 83 0.2× 502 1.4× 90 0.2× 199 0.9× 117 2.2k
Miguel Á. González Ballester Spain 27 629 1.0× 161 0.4× 336 0.9× 125 0.3× 60 0.3× 165 2.4k
Pascal N. Tyrrell Canada 36 588 1.0× 247 0.7× 143 0.4× 165 0.5× 79 0.4× 108 4.1k
Marina Codari Italy 22 1.0k 1.7× 160 0.4× 422 1.2× 55 0.2× 476 2.3× 67 2.6k
Timothy L. Kline United States 29 1.7k 2.8× 90 0.2× 670 1.8× 116 0.3× 309 1.5× 102 3.5k
Karim Lekadir Spain 23 930 1.5× 520 1.4× 458 1.3× 34 0.1× 227 1.1× 123 2.1k
Parvin Mousavi Canada 27 741 1.2× 122 0.3× 624 1.7× 216 0.6× 47 0.2× 199 2.5k
Anthony E. Samir United States 27 1.3k 2.1× 175 0.5× 255 0.7× 107 0.3× 209 1.0× 111 3.3k

Countries citing papers authored by Michael Yeung

Since Specialization
Citations

This map shows the geographic impact of Michael Yeung'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 Michael Yeung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Yeung more than expected).

Fields of papers citing papers by Michael Yeung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Yeung. 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 Michael Yeung. The network helps show where Michael Yeung may publish in the future.

Co-authorship network of co-authors of Michael Yeung

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Yeung. A scholar is included among the top collaborators of Michael Yeung 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 Michael Yeung. Michael Yeung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yeung, Michael, Leonardo Rundo, Nan Yang, et al.. (2022). Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation. Journal of Digital Imaging. 36(2). 739–752. 33 indexed citations
2.
Yeung, Michael, Evis Sala, Carola‐Bibiane Schönlieb, & Leonardo Rundo. (2021). Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy.. arXiv (Cornell University). 1 indexed citations
3.
Yeung, Michael, Evis Sala, Carola‐Bibiane Schönlieb, & Leonardo Rundo. (2021). A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation.. arXiv (Cornell University). 6 indexed citations
4.
McKenzie, Alexander, et al.. (2021). Usefulness of a Novel Risk Score to Predict In-Hospital Mortality in Patients ≥ 60 Years of Age with ST Elevation Myocardial Infarction. The American Journal of Cardiology. 154. 1–6. 2 indexed citations
5.
Arora, Sameer, Muthiah Vaduganathan, Patricia P. Chang, et al.. (2021). Effect of government-issued state of emergency and reopening orders on cardiovascular hospitalizations during the COVID-19 pandemic. SHILAP Revista de lepidopterología. 6. 100172–100172. 3 indexed citations
6.
Adams, Michael C. C., et al.. (2021). Mucopolysaccharidosis Type I Diagnosed by Aortic and Mitral Valve Replacement. JACC Case Reports. 3(18). 1891–1894. 3 indexed citations
7.
Yeung, Michael, et al.. (2020). Patients with young-onset dementia in an older people's mental health service. BJPsych Bulletin. 45(2). 81–86. 3 indexed citations
9.
Arora, Sameer, Ryan Max, Paula D. Strassle, et al.. (2019). TCT-40 Transcatheter Versus Surgical Pulmonic Valve Replacement in the United States. Journal of the American College of Cardiology. 74(13). B40–B40.
10.
Grand’Maison, François, et al.. (2018). Sequencing of high-efficacy disease-modifying therapies in multiple sclerosis: perspectives and approaches. Neural Regeneration Research. 13(11). 1871–1871. 20 indexed citations
11.
Yeung, Michael, et al.. (2016). Pre-VSD occluder TTE: 4-chamber view with color flow Doppler showing the PI-VSD. ASVIDE. 3(1). 1 indexed citations
13.
Yeung, Michael, et al.. (2016). A heart team and multi-modality imaging approach to percutaneous closure of a post-myocardial infarction ventricular septal defect. Cardiovascular Diagnosis and Therapy. 6(2). 180–184. 7 indexed citations
14.
Liu, Yan, et al.. (2016). Tension Pneumopericardium Secondary to Gastropericardial Fistula Presenting as Acute Pericarditis With Cardiac Tamponade Physiology. JACC: Cardiovascular Interventions. 9(16). 1748–1749. 2 indexed citations
16.
Yeung, Michael, et al.. (2015). THE RATIO OF SYSTOLIC BLOOD PRESSURE TO LEFT VENTRICULAR END DIASTOLIC PRESSURE PREDICTS SURVIVAL IN PATIENTS PRESENTING WITH ACUTE MYOCARDIAL INFARCTION. Journal of the American College of Cardiology. 65(10). A198–A198.
18.
19.
Janardhan, Ajit H., Wenwen Li, Vadim V. Fedorov, et al.. (2012). A Novel Low-Energy Electrotherapy That Terminates Ventricular Tachycardia With Lower Energy Than a Biphasic Shock When Antitachycardia Pacing Fails. Journal of the American College of Cardiology. 60(23). 2393–2398. 37 indexed citations
20.
Yeung, Michael, Ajay Bhalla, & Jonathan Birns. (2011). Recreational Drug Misuse and Stroke. Current Drug Abuse Reviews. 4(4). 286–291. 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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