Wing Cheong Chan

1.6k citations
19 papers · 1.1k indexed · h-index 10

Wing Cheong Chan

17 papers receiving 1.1k citations

Peers

Wing Cheong Chan
Comparison fields: 5 of 91
  • Cancer Research 587
  • Dermatology 168
  • Pathology and Forensic Medicine 332
  • Anesthesiology and Pain Medicine 62
  • Pulmonary and Respiratory Medicine 343
Replace Marc Haspeslagh with:
Marc Haspeslagh Belgium
Mi-Jung Kim South Korea
Tack‐Kyun Kwon South Korea
Hitoshi Hirakawa Japan
Kenneth Fasanella United States
Hanne Qvist Norway
Frederico O. Gleber‐Netto United States
Howard G. Rosenthal United States
Nelly Alieldin Egypt
Suresh K. Nayar United States
Wing Cheong Chan relative to Marc Haspeslagh Belgium Marc Haspeslagh's profile →
Citations per field
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Marc Haspeslagh · 1×
Citations per year

Countries citing papers authored by Wing Cheong Chan

Since Specialization
Citations

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

Fields of papers citing papers by Wing Cheong Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wing Cheong 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 Wing Cheong Chan. The network helps show where Wing Cheong Chan may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Wing Cheong Chan, 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 Wing Cheong Chan Line = papers co-authored together Wing Cheong Chan links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20208
2 201916
3 201814
4 201733
5 2014101
6 20143
7 2013302
8 2012385
9
A questionnaire survey on attitudes and understanding towards mental disorders.
201227
10 2005213
11 20045
12 20046
13 200411
14 200311
15 20033
16 20035
17 20036
18 20020
19 19970

About Wing Cheong Chan

Wing Cheong Chan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Pathology and Forensic Medicine, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (6 papers), Advanced Vision and Imaging (5 papers), Image and Signal Denoising Methods (4 papers), Video Coding and Compression Technologies (3 papers), Advanced Image Processing Techniques (3 papers), Cancer Genomics and Diagnostics (2 papers), Nausea and vomiting management (1 paper) and Family Caregiving in Mental Illness (1 paper). The work is most often cited by research in Cancer Research (587 citations), Dermatology (168 citations) and Pathology and Forensic Medicine (332 citations). Wing Cheong Chan has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include Paul B.S. Lai, Hao Sun, Rossa W. K. Chiu, John Wong, Peiyong Jiang, Stephen L. Chan, Anthony T.�C. Chan, Eric C. H. Lai, Heng Tat Leong and Chi Sun Poon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Clinical Chemistry.

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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