Yuk‐Hee Chan

1.3k total citations
104 papers, 854 citations indexed

About

Yuk‐Hee Chan is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Signal Processing. According to data from OpenAlex, Yuk‐Hee Chan has authored 104 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Computer Vision and Pattern Recognition, 30 papers in Atomic and Molecular Physics, and Optics and 26 papers in Signal Processing. Recurrent topics in Yuk‐Hee Chan's work include Image and Signal Denoising Methods (46 papers), Image Enhancement Techniques (37 papers) and Color Science and Applications (30 papers). Yuk‐Hee Chan is often cited by papers focused on Image and Signal Denoising Methods (46 papers), Image Enhancement Techniques (37 papers) and Color Science and Applications (30 papers). Yuk‐Hee Chan collaborates with scholars based in Hong Kong, China and Canada. Yuk‐Hee Chan's co-authors include Wan-Chi Siu, K.‐H. Chung, Daniel Pak-Kong Lun, Wan-Chi Siu, W.C. Siu, Sheung‐On Choy, Lap‐Pui Chau, Tai-Chiu Hsung, Mei Yu and Kwok-Tung Lo and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and IEEE Transactions on Communications.

In The Last Decade

Yuk‐Hee Chan

93 papers receiving 791 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yuk‐Hee Chan Hong Kong 15 675 204 196 116 100 104 854
Patrick Hanrahan United States 12 540 0.8× 103 0.5× 157 0.8× 50 0.4× 47 0.5× 23 891
R.D. Dony Canada 15 494 0.7× 191 0.9× 64 0.3× 39 0.3× 63 0.6× 53 804
R.J. Safranek United States 13 970 1.4× 293 1.4× 160 0.8× 77 0.7× 33 0.3× 30 1.2k
Minghui Wang China 14 751 1.1× 44 0.2× 324 1.7× 65 0.6× 41 0.4× 67 947
Mohammad S. Alam United States 15 266 0.4× 97 0.5× 261 1.3× 100 0.9× 179 1.8× 64 865
L. Torres Spain 20 984 1.5× 281 1.4× 71 0.4× 37 0.3× 338 3.4× 66 1.2k
Mohiy M. Hadhoud Egypt 16 725 1.1× 158 0.8× 242 1.2× 13 0.1× 109 1.1× 91 1.0k
Umesh Ghanekar India 16 300 0.4× 62 0.3× 146 0.7× 69 0.6× 230 2.3× 58 670
Dinu Coltuc Romania 18 1.8k 2.6× 94 0.5× 166 0.8× 23 0.2× 22 0.2× 78 1.9k
I. Sebestyén Austria 5 1.3k 1.9× 519 2.5× 114 0.6× 31 0.3× 82 0.8× 23 1.5k

Countries citing papers authored by Yuk‐Hee Chan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Yuk‐Hee Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Yuk‐Hee Chan. A scholar is included among the top collaborators of Yuk‐Hee Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuk‐Hee Chan. Yuk‐Hee Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yu, Felix, et al.. (2023). Self-embedding reversible color-to-grayscale conversion with watermarking feature. Signal Processing Image Communication. 119. 117061–117061. 2 indexed citations
2.
Lun, Daniel Pak-Kong, et al.. (2018). Robust Single-Shot Fringe Projection Profilometry Based on Morphological Component Analysis. IEEE Transactions on Image Processing. 27(11). 5393–5405. 22 indexed citations
3.
Lun, Daniel Pak-Kong, et al.. (2018). Robust Reflection Removal Based on Light Field Imaging. IEEE Transactions on Image Processing. 28(4). 1798–1812. 25 indexed citations
4.
Chan, Yuk‐Hee, et al.. (2010). A new approach to compress color-indexed images. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 318–321. 1 indexed citations
5.
Chan, Yuk‐Hee, et al.. (2009). A fast reversible compression algorithm for Bayer color filter array images. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 825–828. 1 indexed citations
6.
Chan, Yuk‐Hee, et al.. (2009). An improved adaptive wiener filtering algorithm for super-resolution. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 821–824. 1 indexed citations
7.
Chan, Yuk‐Hee, et al.. (2009). A multiscale error diffusion algorithm for green noise digital halftoning. European Signal Processing Conference. 2258–2262. 3 indexed citations
8.
Chan, Yuk‐Hee, et al.. (2008). A Lossless Compression Scheme for Bayer Color Filter Array Images. IEEE Transactions on Image Processing. 17(2). 134–144. 50 indexed citations
9.
Chan, Yuk‐Hee, et al.. (2007). A Low-Complexity Joint Color Demosaicking and Zooming Algorithm for Digital Camera. IEEE Transactions on Image Processing. 16(7). 1705–1715. 19 indexed citations
10.
Chung, K.‐H. & Yuk‐Hee Chan. (2006). Color Demosaicing Using Variance of Color Differences. IEEE Transactions on Image Processing. 15(10). 2944–2955. 141 indexed citations
11.
Chan, Yuk‐Hee, et al.. (2006). A POCS-based restoration algorithm for restoring halftoned color-quantized images. IEEE Transactions on Image Processing. 15(7). 1985–1992. 13 indexed citations
12.
Lun, Daniel Pak-Kong, et al.. (2004). Efficient blind image restoration using discrete periodic Radon transform. IEEE Transactions on Image Processing. 13(2). 188–200. 15 indexed citations
13.
Lo, Kwok-Tung, Yuk‐Hee Chan, & Mei Yu. (2003). Colour quantization by three-dimensional frequency diffusion. Pattern Recognition Letters. 24(14). 2325–2334. 9 indexed citations
14.
Chan, Yuk‐Hee, et al.. (2003). An improved algorithm for removing impulse noise based on long-range correlation in an image. 157–160. 3 indexed citations
15.
Chan, Yuk‐Hee, et al.. (2002). A practical real-time post-processing technique for block effect elimination. 1. 21–24. 4 indexed citations
16.
Choy, Sheung‐On, Yuk‐Hee Chan, & Wan-Chi Siu. (2002). A new approach for restoring block-transform coded images with estimation of correlation matrices. 342–345.
17.
Choy, Sheung‐On, Yuk‐Hee Chan, & Wan-Chi Siu. (1999). Regularized restoration of vector quantisation compressed images. IEE Proceedings - Vision Image and Signal Processing. 146(3). 165–165.
18.
Choy, Sheung‐On, Yuk‐Hee Chan, & Wan-Chi Siu. (1997). Reduction of block-transform image coding artifacts by using local statistics of transform coefficients. IEEE Signal Processing Letters. 4(1). 5–7. 27 indexed citations
19.
Chan, Yuk‐Hee & Wan-Chi Siu. (1992). On the realization of discrete cosine transform using the distributed arithmetic. IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications. 39(9). 705–712. 63 indexed citations
20.
Chan, Yuk‐Hee & W.C. Siu. (1991). New fast discrete Hartley transform algorithm. Electronics Letters. 27(4). 347–349. 14 indexed citations

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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