Ching Y. Suen
- Computer Vision and Pattern Recognition top 0.5%
- Media Technology top 2%
- Artificial Intelligence top 5%
- Aerospace Engineering top 10%
- Signal Processing top 5%
- Co-authors
- Flávio BortolozziRobert SabourinLuiz S. OliveiraBei LiGeorges StamonNeamat El GayarJun TanJ.N. Said
- Topics
- Handwritten Text Recognition Techniques (7 papers)Image Processing and 3D Reconstruction (4 papers)Digital Image Processing Techniques (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
In The Last Decade
Ching Y. Suen
13 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Computer Vision and Pattern Recognition 1.3k
- Media Technology 237
- Artificial Intelligence 236
- Aerospace Engineering 148
- Signal Processing 144
Countries citing papers authored by Ching Y. Suen
This map shows the geographic impact of Ching Y. Suen'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 Ching Y. Suen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching Y. Suen more than expected).
Fields of papers citing papers by Ching Y. Suen
This network shows the impact of papers produced by Ching Y. Suen. 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 Ching Y. Suen. The network helps show where Ching Y. Suen may publish in the future.
Co-authorship network of co-authors of Ching Y. Suen
This figure shows the co-authorship network connecting the top 25 collaborators of Ching Y. Suen. A scholar is included among the top collaborators of Ching Y. Suen 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 Ching Y. Suen. Ching Y. Suen 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 | 18 | |
| 4 | 15 | |
| 5 | Wavelet Analysis And Active Media Technology: Proceedings of the 6th International Progress | 0 |
| 6 | 153 | |
| 7 | 7 | |
| 8 | 31 | |
| 9 | 31 | |
| 10 | 17 | |
| 11 | 5 | |
| 12 | 19 | |
| 13 | 44 | |
| 14 | A fast parallel algorithm for thinning digital patternsbreakdown → | 1781 |
| 15 | 2 |
About Ching Y. Suen
Ching Y. Suen is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 15 papers that have together received 2.1k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (7 papers), Image Processing and 3D Reconstruction (4 papers) and Digital Image Processing Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Media Technology (237 citations) and Computer Graphics and Computer-Aided Design (87 citations). Ching Y. Suen has collaborated with scholars based in Canada, China and Taiwan. Frequent co-authors include Flávio Bortolozzi, Robert Sabourin, Luiz S. Oliveira, Bei Li, Georges Stamon, Neamat El Gayar, Jun Tan, J.N. Said, Louisa Lam and Ning Bi. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and Pattern Recognition.
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.