Michael Yuen
Impact in
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- Image and Video Quality Assessment
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Image Enhancement Techniques
- Advanced Data Compression Techniques
- Visual Attention and Saliency Detection
- Signal Processing top 5%
- Video Coding and Compression Technologies
Papers in
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- Advanced Image Processing Techniques 4
- Image and Signal Denoising Methods 3
- Image and Video Quality Assessment 3
- Advanced Data Compression Techniques 2
- Image Enhancement Techniques 1
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- Color Science and Applications 2
- Co-authors
- Hong Ren Wu (6 shared papers)Lynne E. Bilston (1 shared paper)Julie Brown (1 shared paper)K.R. Rao (1 shared paper)Bin Qiu (1 shared paper)Shan Suthaharan (1 shared paper)
- Journals
- IEEE Signal Processing Letters (1 paper)Traffic Injury Prevention (1 paper)Signal Processing (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2 papers)
- Partner nations
- AustraliaUnited States
In The Last Decade
Michael Yuen
8 papers receiving 493 citations
Peers
Comparison fields: 5 of 32
- Computer Vision and Pattern Recognition 495
- Signal Processing 140
- Media Technology 88
- Cognitive Neuroscience 33
- Safety, Risk, Reliability and Quality 15
Countries citing papers authored by Michael Yuen
This map shows the geographic impact of Michael Yuen'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 Yuen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Yuen more than expected).
Fields of papers citing papers by Michael Yuen
This network shows the impact of papers produced by Michael Yuen. 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 Yuen. The network helps show where Michael Yuen may publish in the future.
Co-authors
The 6 scholars most cited alongside Michael Yuen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 247 | |
| 2 | 1998 | 207 | |
| 3 | 2007 | 33 | |
| 4 | 2005 | 17 | |
| 5 | 1995 | 16 | |
| 6 | 1995 | 6 | |
| 7 | 2002 | 5 | |
| 8 | 2002 | 2 |
About Michael Yuen
Michael Yuen is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Signal Processing, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 8 papers that have together received 533 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (4 papers), Image and Signal Denoising Methods (3 papers), Image and Video Quality Assessment (3 papers), Color Science and Applications (2 papers), Video Coding and Compression Technologies (2 papers), Advanced Data Compression Techniques (2 papers), Automotive and Human Injury Biomechanics (1 paper) and Image Enhancement Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (495 citations), Signal Processing (140 citations), Media Technology (88 citations), Cognitive Neuroscience (33 citations) and Safety, Risk, Reliability and Quality (15 citations). Michael Yuen has collaborated with scholars based in Australia and United States. Frequent co-authors include Hong Ren Wu, Lynne E. Bilston, Julie Brown, K.R. Rao, Bin Qiu and Shan Suthaharan. Their work appears in journals such as IEEE Signal Processing Letters, Traffic Injury Prevention, Signal Processing and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.