Bernard Chiu
Impact in
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- Cardiovascular Health and Disease Prevention
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
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- Cerebrovascular and Carotid Artery Diseases 45
- Prostate Cancer Diagnosis and Treatment 9
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- Cardiovascular Health and Disease Prevention 39
- Co-authors
- Aaron Fenster (36 shared papers)J. David Spence (25 shared papers)Grace Párraga (21 shared papers)Tommy W. S. Chow (7 shared papers)Mingquan Lin (13 shared papers)Wu Qiu (9 shared papers)Yanyan Yu (7 shared papers)Eranga Ukwatta (7 shared papers)
In The Last Decade
Bernard Chiu
88 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Cardiology and Cardiovascular Medicine 362
- Computer Vision and Pattern Recognition 362
- Pulmonary and Respiratory Medicine 468
- Radiology, Nuclear Medicine and Imaging 287
- Radiation 45
Countries citing papers authored by Bernard Chiu
This map shows the geographic impact of Bernard Chiu'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 Bernard Chiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernard Chiu more than expected).
Fields of papers citing papers by Bernard Chiu
This network shows the impact of papers produced by Bernard Chiu. 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 Bernard Chiu. The network helps show where Bernard Chiu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bernard Chiu, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 109 | |
| 2 | 2009 | 69 | |
| 3 | 2008 | 64 | |
| 4 | 2006 | 63 | |
| 5 | 2004 | 41 | |
| 6 | 2016 | 39 | |
| 7 | 2007 | 36 | |
| 8 | 2013 | 33 | |
| 9 | 2017 | 29 | |
| 10 | 2008 | 27 | |
| 11 | 2007 | 27 | |
| 12 | 2020 | 27 | |
| 13 | 2009 | 25 | |
| 14 | 2017 | 24 | |
| 15 | 2020 | 23 | |
| 16 | 2009 | 20 | |
| 17 | 2011 | 20 | |
| 18 | 2012 | 20 | |
| 19 | 2020 | 19 | |
| 20 | 2013 | 17 |
About Bernard Chiu
Bernard Chiu is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 96 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (45 papers), Cardiovascular Health and Disease Prevention (39 papers), Medical Image Segmentation Techniques (24 papers), Coronary Interventions and Diagnostics (12 papers), Advanced Neural Network Applications (10 papers), Prostate Cancer Diagnosis and Treatment (9 papers), Medical Imaging and Analysis (7 papers) and Acute Ischemic Stroke Management (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (362 citations), Computer Vision and Pattern Recognition (362 citations), Pulmonary and Respiratory Medicine (468 citations), Radiology, Nuclear Medicine and Imaging (287 citations) and Radiation (45 citations). Bernard Chiu has collaborated with scholars based in Hong Kong, Canada and China. Frequent co-authors include Aaron Fenster, J. David Spence, Grace Párraga, Tommy W. S. Chow, Mingquan Lin, Wu Qiu, Yanyan Yu, Eranga Ukwatta, G.H. Freeman and William Kerwin. Their work appears in journals such as Medical Physics, Computers in Biology and Medicine, Ultrasound in Medicine & Biology, Physics in Medicine and Biology and Medical Image Analysis.
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.