K. S. Fu
Impact in
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- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Image and Object Detection Techniques
- Advanced Image and Video Retrieval Techniques
- Digital Image Processing Techniques
- Media Technology top 1%
Papers in
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- Algorithms and Data Compression 18
- Neural Networks and Applications 7
- Machine Learning and Algorithms 6
- Advanced Computational Techniques and Applications 6
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- Image Retrieval and Classification Techniques 8
- Image Processing and 3D Reconstruction 6
- Co-authors
- William G. Wee (2 shared papers)S. Y. Lu (3 shared papers)Ning-San Chang (2 shared papers)H.D. Cheng (3 shared papers)Y.P. Chien (3 shared papers)Thomas S. Huang (3 shared papers)JingTao Yao (4 shared papers)Haruo Ogawa (3 shared papers)
- Journals
- Pattern Recognition (10 papers)IEEE Transactions on Automatic Control (6 papers)The Journal of the Acoustical Society of America (4 papers)Information Sciences (4 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (4 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
K. S. Fu
86 papers receiving 2.4k citations
K. S. Fu's Hit Papers
Peers
Comparison fields: 5 of 133
- Computer Vision and Pattern Recognition 1.3k
- Media Technology 265
- Artificial Intelligence 966
- Computer Graphics and Computer-Aided Design 102
- Signal Processing 260
Countries citing papers authored by K. S. Fu
This map shows the geographic impact of K. S. Fu'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 K. S. Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. S. Fu more than expected).
Fields of papers citing papers by K. S. Fu
This network shows the impact of papers produced by K. S. Fu. 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 K. S. Fu. The network helps show where K. S. Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside K. S. Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A survey on image segmentation Hit paper breakdown → | 1981 | 805 |
| 2 | 1969 | 188 | |
| 3 | 1981 | 147 | |
| 4 | 1971 | 135 | |
| 5 | 1975 | 90 | |
| 6 | 1986 | 86 | |
| 7 | 1978 | 85 | |
| 8 | 1981 | 69 | |
| 9 | 1970 | 65 | |
| 10 | 1966 | 64 | |
| 11 | 1985 | 58 | |
| 12 | 1987 | 42 | |
| 13 | 1984 | 41 | |
| 14 | 1974 | 34 | |
| 15 | 1985 | 33 | |
| 16 | An Approach to the Design of a Linear Binary Tree Classifier | 1976 | 33 |
| 17 | 1967 | 31 | |
| 18 | 1983 | 30 | |
| 19 | 1979 | 30 | |
| 20 | 1972 | 29 |
About K. S. Fu
K. S. Fu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Computational Theory and Mathematics and Signal Processing, having authored 92 papers that have together received 2.7k indexed citations. Recurring topics across this work include Algorithms and Data Compression (18 papers), Image Retrieval and Classification Techniques (8 papers), DNA and Biological Computing (8 papers), Neural Networks and Applications (7 papers), Image Processing and 3D Reconstruction (6 papers), semigroups and automata theory (6 papers), Machine Learning and Algorithms (6 papers) and Advanced Computational Techniques and Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Media Technology (265 citations), Artificial Intelligence (966 citations), Computer Graphics and Computer-Aided Design (102 citations) and Signal Processing (260 citations). K. S. Fu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include William G. Wee, S. Y. Lu, Ning-San Chang, H.D. Cheng, Y.P. Chien, Thomas S. Huang, JingTao Yao, Haruo Ogawa, Timothy Li and P. H. Swain. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Automatic Control, The Journal of the Acoustical Society of America, Information Sciences and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.