Kam-Fai Chan
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Human-Computer Interaction
- Co-authors
- Dit–Yan YeungDit‐Yan YeungDit-Yan YeungYuanbin LiuA.M. DollarJ. H. MOYDit Yan YeungChi‐Wah Kok
- Topics
- Handwritten Text Recognition Techniques (4 papers)Glycosylation and Glycoproteins Research (2 papers)Mathematics, Computing, and Information Processing (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputational Theory and MathematicsHuman-Computer Interaction
- Partner nations
- Hong KongUnited States
In The Last Decade
Kam-Fai Chan
7 papers receiving 301 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 214
- Artificial Intelligence 124
- Computational Theory and Mathematics 95
- Molecular Biology 57
- Human-Computer Interaction 24
Countries citing papers authored by Kam-Fai Chan
This map shows the geographic impact of Kam-Fai 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 Kam-Fai Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kam-Fai Chan more than expected).
Fields of papers citing papers by Kam-Fai Chan
This network shows the impact of papers produced by Kam-Fai 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 Kam-Fai Chan. The network helps show where Kam-Fai Chan may publish in the future.
Co-authorship network of co-authors of Kam-Fai Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Kam-Fai Chan. A scholar is included among the top collaborators of Kam-Fai 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 Kam-Fai Chan. Kam-Fai 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 | 18 | |
| 2 | 0 | |
| 3 | 20 | |
| 4 | 209 | |
| 5 | A simple yet robust structural approach for recognizing on-line handwritten alphanumeric characters | 3 |
| 6 | 16 | |
| 7 | 53 | |
| 8 | 11 |
About Kam-Fai Chan
Kam-Fai Chan is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computational Theory and Mathematics, having authored 8 papers that have together received 330 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (4 papers), Glycosylation and Glycoproteins Research (2 papers) and Mathematics, Computing, and Information Processing (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (214 citations), Computational Theory and Mathematics (95 citations) and Human-Computer Interaction (24 citations). Kam-Fai Chan has collaborated with scholars based in Hong Kong and United States. Frequent co-authors include Dit–Yan Yeung, Dit‐Yan Yeung, Dit-Yan Yeung, Yuanbin Liu, A.M. Dollar, J. H. MOY, Dit Yan Yeung and Chi‐Wah Kok. Their work appears in journals such as Journal of Biological Chemistry, Journal of Food Science and Electrophoresis.
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.