Chi-Sing Leung
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Image Enhancement Techniques
Papers in
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- Neural Networks and Applications 69
- Machine Learning and ELM 35
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- Advanced Vision and Imaging 33
- Face and Expression Recognition 24
- Image Enhancement Techniques 23
- Image and Signal Denoising Methods 17
- Co-authors
- John Sum (43 shared papers)Tien‐Tsin Wong (31 shared papers)Narla Mohandas (4 shared papers)Hing Cheung So (19 shared papers)Liang Wan (14 shared papers)Laiwan Chan (10 shared papers)Kevin Ho (12 shared papers)E. Evans (1 shared paper)
In The Last Decade
Chi-Sing Leung
229 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 191
- Computer Graphics and Computer-Aided Design 215
- Computer Vision and Pattern Recognition 1.0k
- Reproductive Medicine 354
- Artificial Intelligence 1.1k
- Signal Processing 317
Countries citing papers authored by Chi-Sing Leung
This map shows the geographic impact of Chi-Sing Leung'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 Chi-Sing Leung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi-Sing Leung more than expected).
Fields of papers citing papers by Chi-Sing Leung
This network shows the impact of papers produced by Chi-Sing Leung. 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 Chi-Sing Leung. The network helps show where Chi-Sing Leung may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi-Sing Leung, 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 243 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 272 | |
| 2 | 1984 | 171 | |
| 3 | 1991 | 143 | |
| 4 | 1989 | 141 | |
| 5 | 1998 | 137 | |
| 6 | 2008 | 136 | |
| 7 | 2000 | 115 | |
| 8 | 1992 | 113 | |
| 9 | 2015 | 91 | |
| 10 | Sensitization to inhaled allergens as a risk factor for asthma and allergic diseases in Chinese population. | 1997 | 87 |
| 11 | 2018 | 81 | |
| 12 | 2001 | 81 | |
| 13 | 1998 | 69 | |
| 14 | 1983 | 66 | |
| 15 | 2015 | 65 | |
| 16 | 2007 | 63 | |
| 17 | 2009 | 61 | |
| 18 | 2008 | 57 | |
| 19 | 2003 | 56 | |
| 20 | Detection of the placental epigenetic signature of the maspin gene in maternal plasma | 2006 | 54 |
About Chi-Sing Leung
Chi-Sing Leung is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 243 papers that have together received 4.4k indexed citations. Recurring topics across this work include Neural Networks and Applications (69 papers), Machine Learning and ELM (35 papers), Advanced Vision and Imaging (33 papers), Face and Expression Recognition (24 papers), Image Enhancement Techniques (23 papers), Blind Source Separation Techniques (23 papers), Computer Graphics and Visualization Techniques (23 papers) and Image and Signal Denoising Methods (17 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (215 citations), Computer Vision and Pattern Recognition (1.0k citations), Reproductive Medicine (354 citations), Artificial Intelligence (1.1k citations) and Signal Processing (317 citations). Chi-Sing Leung has collaborated with scholars based in Hong Kong, China and Taiwan. Frequent co-authors include John Sum, Tien‐Tsin Wong, Narla Mohandas, Hing Cheung So, Liang Wan, Laiwan Chan, Kevin Ho, E. Evans, Christina Wang and Yanhe Lue. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing, Neural Computing and Applications, IEEE Transactions on Visualization and Computer Graphics and IEEE Access.
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.