K. S. Fu

4.8k total citations · 1 hit paper
91 papers, 2.7k citations indexed

About

K. S. Fu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, K. S. Fu has authored 91 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 13 papers in Computer Networks and Communications. Recurrent topics in K. S. Fu's work include Algorithms and Data Compression (18 papers), Image Retrieval and Classification Techniques (8 papers) and DNA and Biological Computing (8 papers). K. S. Fu is often cited by papers focused on Algorithms and Data Compression (18 papers), Image Retrieval and Classification Techniques (8 papers) and DNA and Biological Computing (8 papers). K. S. Fu collaborates with scholars based in United States, China and Hong Kong. K. S. Fu's 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 and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and Proceedings of the IEEE.

In The Last Decade

K. S. Fu

85 papers receiving 2.4k citations

Hit Papers

A survey on image segmentation 1981 2026 1996 2011 1981 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A survey on image segmentation
    1981 806 citations K. S. Fu et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
K. S. Fu United States 24 1.3k 970 345 266 261 91 2.7k
Y.P. Chien United States 11 1.1k 0.9× 1.2k 1.2× 176 0.5× 242 0.9× 373 1.4× 30 2.8k
Jack Sklansky United States 31 2.4k 1.8× 1.6k 1.7× 485 1.4× 342 1.3× 387 1.5× 124 5.0k
Pierre A. Devijver Belgium 10 979 0.8× 1.2k 1.3× 176 0.5× 223 0.8× 340 1.3× 24 2.5k
Theodosios Pavlidis United States 21 2.1k 1.6× 485 0.5× 161 0.5× 253 1.0× 195 0.7× 46 3.2k
C.A. Murthy India 25 1.4k 1.1× 1.6k 1.7× 263 0.8× 384 1.4× 252 1.0× 104 3.1k
Robert A. Hummel United States 19 2.1k 1.6× 559 0.6× 160 0.5× 466 1.8× 316 1.2× 56 3.2k
Laveen N. Kanal United States 20 528 0.4× 774 0.8× 147 0.4× 107 0.4× 197 0.8× 86 1.8k
P. Tseng United States 12 576 0.4× 592 0.6× 314 0.9× 137 0.5× 238 0.9× 15 2.3k
Enrique Vidal Spain 33 1.9k 1.5× 2.5k 2.6× 261 0.8× 207 0.8× 625 2.4× 218 4.0k
Sebastian Nowozin United Kingdom 34 2.7k 2.1× 1.7k 1.8× 194 0.6× 435 1.6× 259 1.0× 77 4.4k

Countries citing papers authored by K. S. Fu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of K. S. Fu

This figure shows the co-authorship network connecting the top 25 collaborators of K. S. Fu. A scholar is included among the top collaborators of K. S. Fu 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 K. S. Fu. K. S. Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yu, Jianghong, et al.. (2025). Myeloid Glutamine Synthetase Protects Against Acute Liver Injury in Mice Independent of Its Enzyme Activity. Liver International. 45(7). e70105–e70105.
2.
3.
Fu, K. S., et al.. (2024). Multi-Granularity Contrastive Cross-Modal Collaborative Generation for End-to-End Long-Term Video Question Answering. IEEE Transactions on Image Processing. 33. 3115–3129. 4 indexed citations
4.
5.
Fu, K. S., et al.. (2024). Prompting Video-Language Foundation Models With Domain-Specific Fine-Grained Heuristics for Video Question Answering. IEEE Transactions on Circuits and Systems for Video Technology. 35(2). 1615–1630. 2 indexed citations
6.
Fu, K. S., et al.. (1987). Syntactic pattern recognition and Hough transformation for reconstruction of seismic patterns. Geophysics. 52(12). 1612–1620. 6 indexed citations
7.
Sanfeliu, Alberto, K. S. Fu, & Judith M. S. Prewitt. (1987). AN APPLICATION OF A GRAPH DISTANCE MEASURE TO THE CLASSIFICATION OF MUSCLE TISSUE PATTERNS. International Journal of Pattern Recognition and Artificial Intelligence. 1(1). 17–42.
8.
Fu, K. S.. (1986). A Step Towards Unification of Syntactic and Statistical Pattern Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-8(3). 398–404. 86 indexed citations
9.
Wang, Lin & K. S. Fu. (1984). A Syntactic Approach to 3-D Object Representation. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-6(3). 351–364. 21 indexed citations
10.
Fu, K. S., et al.. (1984). Parallel Parsing Algorithms and VLSI Implementations for Syntactic Pattern Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-6(3). 302–314. 41 indexed citations
11.
Fu, K. S., et al.. (1982). A Syntactic Approach to Seismic Pattern Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-4(2). 136–140. 12 indexed citations
12.
Ishizuka, Mitsuru, K. S. Fu, & James T. P. Yao. (1981). Inexact inference for rule-based damage assessment of existing structures. International Joint Conference on Artificial Intelligence. 837–842. 26 indexed citations
13.
14.
Fu, K. S.. (1978). Machine recognition of patterns. Proceedings of the IEEE. 66(12). 1676–1676. 14 indexed citations
15.
Fu, K. S., et al.. (1975). Computer Algorithms for the Extraction and Application of Stress Contours from Continuous Speech Sentences. Purdue e-Pubs (Purdue University System). 77. 15264. 1 indexed citations
16.
Aggarwal, Raj & K. S. Fu. (1974). AUTOMATIC RECOGNITION OF IRRADIATED CHROMOSOMES. Journal of Histochemistry & Cytochemistry. 22(7). 561–568. 4 indexed citations
17.
Huang, Thomas S. & K. S. Fu. (1971). On stochastic context-free languages. Information Sciences. 3(3). 201–224. 25 indexed citations
18.
Fu, K. S., et al.. (1968). On mode estimation in pattern recognition. 31–31. 9 indexed citations
19.
Fu, K. S., et al.. (1967). An optimal pattern classification system using dynamic programing. Mathematical Biosciences. 1(3). 439–461. 2 indexed citations
20.
Fu, K. S., et al.. (1965). A learning control system using stochastic approximation for hill-climbing. IEEE Transactions on Automatic Control. 3(3). 334–340. 4 indexed citations

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.

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