Sheung‐On Choy

46 total papers · 519 total citations
32 papers, 312 citations indexed

About

Sheung‐On Choy is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Information Systems. According to data from OpenAlex, Sheung‐On Choy has authored 32 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Biomedical Engineering and 6 papers in Information Systems. Recurrent topics in Sheung‐On Choy's work include Advanced Image Processing Techniques (11 papers), Image and Signal Denoising Methods (9 papers) and Advanced Fiber Optic Sensors (4 papers). Sheung‐On Choy is often cited by papers focused on Advanced Image Processing Techniques (11 papers), Image and Signal Denoising Methods (9 papers) and Advanced Fiber Optic Sensors (4 papers). Sheung‐On Choy collaborates with scholars based in Hong Kong, United States and China. Sheung‐On Choy's co-authors include Kwok Chi Ng, Andrew Kwok-Fai Lui, Wan-Chi Siu, Sin-Chun Ng, Yuk‐Hee Chan, P.C.K. Kwok, Reggie Kwan, Sandy C. Li, Philip Tsang and Kai S. Koong and has published in prestigious journals such as IEEE Signal Processing Letters, Computer Vision and Image Understanding and Engineering Applications of Artificial Intelligence.

In The Last Decade

Sheung‐On Choy

26 papers receiving 271 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sheung‐On Choy 77 76 67 58 53 32 312
Nan Ding 14 0.2× 55 0.7× 11 0.2× 47 0.8× 21 0.4× 44 347
Sandy El Helou 20 0.3× 155 2.0× 20 0.3× 25 0.4× 87 1.6× 21 283
Mazeyanti Mohd Ariffin 22 0.3× 47 0.6× 7 0.1× 29 0.5× 28 0.5× 31 337
Young D. Kwon 24 0.3× 41 0.5× 8 0.1× 32 0.6× 74 1.4× 25 342
Chenghong Zhang 53 0.7× 86 1.1× 16 0.2× 32 0.6× 21 0.4× 40 340
Lydia Lau 16 0.2× 143 1.9× 27 0.4× 15 0.3× 55 1.0× 29 299
Óscar Ardaiz 11 0.1× 81 1.1× 16 0.2× 33 0.6× 14 0.3× 41 271
María Teresa Signes Pont 8 0.1× 91 1.2× 10 0.1× 36 0.6× 43 0.8× 37 312
Katsuko T. Nakahira 10 0.1× 95 1.3× 15 0.2× 51 0.9× 20 0.4× 40 326
Xiaojie Li 12 0.2× 53 0.7× 7 0.1× 119 2.1× 27 0.5× 36 362

Countries citing papers authored by Sheung‐On Choy

Since Specialization
Citations

This map shows the geographic impact of Sheung‐On Choy'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 Sheung‐On Choy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheung‐On Choy more than expected).

Fields of papers citing papers by Sheung‐On Choy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheung‐On Choy. 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 Sheung‐On Choy. The network helps show where Sheung‐On Choy may publish in the future.

Co-authorship network of co-authors of Sheung‐On Choy

This figure shows the co-authorship network connecting the top 25 collaborators of Sheung‐On Choy. A scholar is included among the top collaborators of Sheung‐On Choy 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 Sheung‐On Choy. Sheung‐On Choy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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