Bernard Chiu

1.5k citations
88 papers · 1.1k indexed · h-index 18

Impact in

Papers in

Bernard Chiu

80 papers receiving 1.0k citations

Peers

Bernard Chiu
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 374
  • Cardiology and Cardiovascular Medicine 420
  • Pulmonary and Respiratory Medicine 533
  • Radiology, Nuclear Medicine and Imaging 362
  • Radiation 63
Replace Mathieu De Craene with:
Mathieu De Craene Spain
Eranga Ukwatta Canada
Cristian Lorenz Germany
Anja Hennemuth Germany
David Lesage France
Djamal Boukerroui France
Erik Smistad Norway
Ali Gooya United Kingdom
Coert Metz Netherlands
Olof Enqvist Sweden
Bernard Chiu relative to Mathieu De Craene Spain Mathieu De Craene's profile →
Citations per field
00.5×3.0×
Mathieu De Craene · 1×
Citations per year

Countries citing papers authored by Bernard Chiu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200598
2 200963
3 200662
4 200860
5 200438
6 200734
7 201332
8 201631
9 201727
10 200825
11 200724
12 202024
13 201723
14 200923
15 202021
16 201120
17 201218
18 201317
19 200917
20 201817

About Bernard Chiu

Bernard Chiu is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Media Technology, having authored 88 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (48 papers), Cardiovascular Health and Disease Prevention (41 papers), Medical Image Segmentation Techniques (23 papers), Coronary Interventions and Diagnostics (14 papers), Advanced Neural Network Applications (10 papers), Acute Ischemic Stroke Management (8 papers), Prostate Cancer Diagnosis and Treatment (8 papers) and Medical Imaging and Analysis (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (374 citations), Cardiology and Cardiovascular Medicine (420 citations), Pulmonary and Respiratory Medicine (533 citations), Radiology, Nuclear Medicine and Imaging (362 citations) and Radiation (63 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, Yanyan Yu, Mingquan Lin, Wu Qiu, Eranga Ukwatta, G.H. Freeman and Chun Yuan. Their work appears in journals such as Medical Physics, Ultrasound in Medicine & Biology, Physics in Medicine and Biology, Computers in Biology and Medicine 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.

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