Michael Yeung

64 papers receiving 2.0k citations

Michael Yeung's Hit Papers

Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation 2021 · 390 citations
3900+2+4Years since publication100200300400500

Peers

Michael Yeung
Comparison fields: 5 of 165
  • Health Informatics 181
  • Radiology, Nuclear Medicine and Imaging 498
  • Pathology and Forensic Medicine 329
  • Neurology 137
  • Cardiology and Cardiovascular Medicine 286
Replace Jun Xia with:
Jun Xia China
Takeshi Hara Japan
Declan P. O’Regan United Kingdom
Rahul C. Deo United States
Panagiotis Korfiatis United States
Narendra N. Khanna India
Seán Walsh United States
Raúl San Jośe Estépar United States
Karim Lekadir Spain
Marina Codari Italy
Michael Yeung relative to Jun Xia China Jun Xia's profile →
Citations per field
00.5×3.7×
Jun Xia · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Michael Yeung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Yeung Line = papers co-authored together Michael Yeung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Hit paper breakdown →
2020580
2
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
Hit paper breakdown →
2021390
3 2013153
4 2017142
5 201374
6 200963
7 200857
8 202056
9 201244
10 201440
11 201238
12 202236
13 202234
14 201728
15 201228
16 201325
17 201525
18 201821
19 201720
20 201919

About Michael Yeung

Michael Yeung is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Epidemiology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 73 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (13 papers), Multiple Sclerosis Research Studies (12 papers), Acute Myocardial Infarction Research (9 papers), Infective Endocarditis Diagnosis and Management (7 papers), Cardiac Imaging and Diagnostics (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Coronary Interventions and Diagnostics (4 papers) and Peripheral Neuropathies and Disorders (4 papers). The work is most often cited by research in Health Informatics (181 citations), Radiology, Nuclear Medicine and Imaging (498 citations), Pathology and Forensic Medicine (329 citations), Neurology (137 citations) and Cardiology and Cardiovascular Medicine (286 citations). Michael Yeung has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Evis Sala, Carola‐Bibiane Schönlieb, Leonardo Rundo, Michael Roberts, Julian Gilbey, Matthew Thorpe, Zhongzhao Teng, Angelica I. Avilés-Rivero, Jonathan Weir‐McCall and Effrossyni Gkrania‐Klotsas. Their work appears in journals such as The American Journal of Cardiology, Catheterization and Cardiovascular Interventions, Journal of the American College of Cardiology, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques and Neurology.

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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