Cheung-Fat Chan
- Signal Processing top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics top 10%
- Biomedical Engineering
- Co-authors
- Chiu‐Sing ChoyHing Cheung SoFrankie K. W. ChanW.H. LauKong‐Pang PunJ.E. FrancaRuofei ChenSheng Yao
- Topics
- Speech and Audio Processing (38 papers)Advanced Data Compression Techniques (31 papers)Advanced Adaptive Filtering Techniques (25 papers)
In The Last Decade
Cheung-Fat Chan
71 papers receiving 348 citations
Peers
Comparison fields: 5 of 50
- Signal Processing 191
- Electrical and Electronic Engineering 152
- Computer Vision and Pattern Recognition 107
- Computational Mechanics 96
- Biomedical Engineering 86
Countries citing papers authored by Cheung-Fat Chan
This map shows the geographic impact of Cheung-Fat 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 Cheung-Fat Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheung-Fat Chan more than expected).
Fields of papers citing papers by Cheung-Fat Chan
This network shows the impact of papers produced by Cheung-Fat 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 Cheung-Fat Chan. The network helps show where Cheung-Fat Chan may publish in the future.
Co-authorship network of co-authors of Cheung-Fat Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Cheung-Fat Chan. A scholar is included among the top collaborators of Cheung-Fat 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 Cheung-Fat Chan. Cheung-Fat Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | HRIR customization using common factor decomposition and joint support vector regression | 3 |
| 2 | 2 | |
| 3 | An abnormal sound detection and classification system for surveillance applications | 17 |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 0 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | 1 | |
| 20 | 1 |
About Cheung-Fat Chan
Cheung-Fat Chan is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 87 papers that have together received 385 indexed citations. Recurring topics across this work include Speech and Audio Processing (38 papers), Advanced Data Compression Techniques (31 papers) and Advanced Adaptive Filtering Techniques (25 papers). The work is most often cited by research in Signal Processing (191 citations), Computer Vision and Pattern Recognition (107 citations) and Computational Mathematics (3 citations). Cheung-Fat Chan has collaborated with scholars based in Hong Kong, Taiwan and China. Frequent co-authors include Chiu‐Sing Choy, Hing Cheung So, Frankie K. W. Chan, W.H. Lau, Kong‐Pang Pun, J.E. Franca, Ruofei Chen, Sheng Yao, H.C. So and Zhixin Wang. Their work appears in journals such as Journal of Computational Physics, IEEE Transactions on Signal Processing and IEEE Journal of Solid-State Circuits.
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.