Yuk‐Hee Chan
Impact in
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- Image and Signal Denoising Methods
- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Advanced Data Compression Techniques
- Advanced Vision and Imaging
- Media Technology top 2%
- Advanced Image Fusion Techniques
Papers in
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- Image and Signal Denoising Methods 46
- Image Enhancement Techniques 37
- Advanced Image Processing Techniques 27
- Advanced Data Compression Techniques 20
- Image and Video Quality Assessment 10
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- Color Science and Applications 30
- Co-authors
- Wan-Chi Siu (21 shared papers)K.‐H. Chung (1 shared paper)Daniel Pak-Kong Lun (8 shared papers)Wan-Chi Siu (7 shared papers)Sheung‐On Choy (8 shared papers)Lap‐Pui Chau (2 shared papers)Kwok-Tung Lo (1 shared paper)Tai-Chiu Hsung (1 shared paper)
In The Last Decade
Yuk‐Hee Chan
94 papers receiving 803 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 679
- Media Technology 197
- Signal Processing 203
- Computer Graphics and Computer-Aided Design 26
- Acoustics and Ultrasonics 5
Countries citing papers authored by Yuk‐Hee Chan
This map shows the geographic impact of Yuk‐Hee Chan'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 Yuk‐Hee Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuk‐Hee Chan more than expected).
Fields of papers citing papers by Yuk‐Hee Chan
This network shows the impact of papers produced by Yuk‐Hee Chan. 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 Yuk‐Hee Chan. The network helps show where Yuk‐Hee Chan may publish in the future.
Co-authors
The 22 scholars most cited alongside Yuk‐Hee Chan, 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 142 | |
| 2 | 1992 | 63 | |
| 3 | 2008 | 50 | |
| 4 | 2020 | 36 | |
| 5 | 1993 | 28 | |
| 6 | 1997 | 27 | |
| 7 | 2018 | 26 | |
| 8 | 2018 | 23 | |
| 9 | 2004 | 23 | |
| 10 | 1994 | 22 | |
| 11 | 2007 | 19 | |
| 12 | 1998 | 18 | |
| 13 | 2019 | 16 | |
| 14 | 2004 | 15 | |
| 15 | 1991 | 14 | |
| 16 | 2016 | 14 | |
| 17 | 2006 | 13 | |
| 18 | 2013 | 13 | |
| 19 | 1992 | 12 | |
| 20 | 2024 | 11 |
About Yuk‐Hee Chan
Yuk‐Hee Chan is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Signal Processing, Media Technology and Electrical and Electronic Engineering, having authored 104 papers that have together received 865 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (46 papers), Image Enhancement Techniques (37 papers), Color Science and Applications (30 papers), Advanced Image Processing Techniques (27 papers), Advanced Data Compression Techniques (20 papers), Digital Filter Design and Implementation (16 papers), Image and Video Quality Assessment (10 papers) and Advancements in PLL and VCO Technologies (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (679 citations), Media Technology (197 citations), Signal Processing (203 citations), Computer Graphics and Computer-Aided Design (26 citations) and Acoustics and Ultrasonics (5 citations). Yuk‐Hee Chan has collaborated with scholars based in Hong Kong, China and Singapore. Frequent co-authors include Wan-Chi Siu, K.‐H. Chung, Daniel Pak-Kong Lun, Wan-Chi Siu, Sheung‐On Choy, Lap‐Pui Chau, Kwok-Tung Lo, Tai-Chiu Hsung, Chan Hong-Mo and Mei Yu. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Signal Processing Letters, IEEE Transactions on Circuits and Systems for Video Technology, Electronics Letters and Signal Processing.
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.