Sen-ching S. Cheung
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 5%
- Aerospace Engineering top 5%
- Signal Processing top 5%
- Computer Networks and Communications top 5%
- Topics
- Advanced Vision and Imaging (23 papers)Video Surveillance and Tracking Methods (18 papers)Advanced Steganography and Watermarking Techniques (14 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignHuman-Computer Interaction
- Partner nations
- United StatesCanadaPakistan
In The Last Decade
Sen-ching S. Cheung
102 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Computer Vision and Pattern Recognition 1.9k
- Artificial Intelligence 448
- Aerospace Engineering 241
- Signal Processing 239
- Computer Networks and Communications 219
Countries citing papers authored by Sen-ching S. Cheung
This map shows the geographic impact of Sen-ching S. Cheung'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 Sen-ching S. Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen-ching S. Cheung more than expected).
Fields of papers citing papers by Sen-ching S. Cheung
This network shows the impact of papers produced by Sen-ching S. Cheung. 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 Sen-ching S. Cheung. The network helps show where Sen-ching S. Cheung may publish in the future.
Co-authorship network of co-authors of Sen-ching S. Cheung
This figure shows the co-authorship network connecting the top 25 collaborators of Sen-ching S. Cheung. A scholar is included among the top collaborators of Sen-ching S. Cheung 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 Sen-ching S. Cheung. Sen-ching S. Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 11 | |
| 4 | 5 | |
| 5 | 41 | |
| 6 | 14 | |
| 7 | 25 | |
| 8 | 166 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 30 | |
| 13 | 93 | |
| 14 | Virtual mirror by fusing multiple RGB-D cameras | 5 |
| 15 | 22 | |
| 16 | 17 | |
| 17 | 20 | |
| 18 | 175 | |
| 19 | Robust techniques for background subtraction in urban traffic videobreakdown → | 464 |
| 20 | 3 |
About Sen-ching S. Cheung
Sen-ching S. Cheung is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 105 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (23 papers), Video Surveillance and Tracking Methods (18 papers) and Advanced Steganography and Watermarking Techniques (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Computer Graphics and Computer-Aided Design (84 citations) and Human-Computer Interaction (129 citations). Sen-ching S. Cheung has collaborated with scholars based in United States, Canada and Pakistan. Frequent co-authors include Chandrika Kamath, Hasan Sajid, Avideh Zakhor, Ju Shen, Thinh Nguyen, Ying Luo, Wei Zhang, Minghua Chen, Vijayan K. Asari and Chen Chen. Their work appears in journals such as Bioinformatics, IEEE Transactions on Image Processing 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.