Siu‐Yeung Cho
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 5%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Signal Processing top 10%
- Co-authors
- M.K.H. LeungDilip K. PrasadRaj Kumar GuptaTommy W. S. ChowChai QuekPing TanAlex Yong-Sang ChiaYu‐Wing Tai
- Topics
- Face and Expression Recognition (13 papers)Face recognition and analysis (9 papers)Neural Networks and Applications (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Industrial ElectronicsExpert Systems with ApplicationsACM Transactions on Graphics
- Partner nations
- SingaporeChinaUnited Kingdom
In The Last Decade
Siu‐Yeung Cho
54 papers receiving 880 citations
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 605
- Media Technology 128
- Artificial Intelligence 116
- Biomedical Engineering 98
- Signal Processing 65
Countries citing papers authored by Siu‐Yeung Cho
This map shows the geographic impact of Siu‐Yeung Cho'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 Siu‐Yeung Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siu‐Yeung Cho more than expected).
Fields of papers citing papers by Siu‐Yeung Cho
This network shows the impact of papers produced by Siu‐Yeung Cho. 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 Siu‐Yeung Cho. The network helps show where Siu‐Yeung Cho may publish in the future.
Co-authorship network of co-authors of Siu‐Yeung Cho
This figure shows the co-authorship network connecting the top 25 collaborators of Siu‐Yeung Cho. A scholar is included among the top collaborators of Siu‐Yeung Cho 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 Siu‐Yeung Cho. Siu‐Yeung Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 22 | |
| 5 | 18 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 14 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | Real-time road sign recognition | 2 |
| 12 | 14 | |
| 13 | 17 | |
| 14 | 8 | |
| 15 | A Multi-Objective Memetic Algorithm Based Clustering Method. | 1 |
| 16 | 25 | |
| 17 | Self-organizing adaptation for facial emotion mapping | 0 |
| 18 | 23 | |
| 19 | 2 | |
| 20 | 8 |
About Siu‐Yeung Cho
Siu‐Yeung Cho is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 57 papers that have together received 925 indexed citations. Recurring topics across this work include Face and Expression Recognition (13 papers), Face recognition and analysis (9 papers) and Neural Networks and Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (605 citations), Media Technology (128 citations) and Computer Graphics and Computer-Aided Design (32 citations). Siu‐Yeung Cho has collaborated with scholars based in Singapore, China and United Kingdom. Frequent co-authors include M.K.H. Leung, Dilip K. Prasad, Raj Kumar Gupta, Tommy W. S. Chow, Chai Quek, Ping Tan, Alex Yong-Sang Chia, Yu‐Wing Tai, Stephen Lin and Shaojie Zhuo. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and ACM Transactions on Graphics.
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.