Kah Kay Sung

2.8k total citations · 1 hit paper
12 papers, 1.4k citations indexed

About

Kah Kay Sung is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Kah Kay Sung has authored 12 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Kah Kay Sung's work include Video Surveillance and Tracking Methods (5 papers), Face recognition and analysis (5 papers) and Face and Expression Recognition (4 papers). Kah Kay Sung is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Face recognition and analysis (5 papers) and Face and Expression Recognition (4 papers). Kah Kay Sung collaborates with scholars based in Singapore and United States. Kah Kay Sung's co-authors include Tomaso Poggio, Nadeem Ahmed Syed, Huan Liu, Lixin Fan, Partha Niyogi, Huan Liu, K.Y. Lam, T.E. Tay and Lucas C. K. Hui and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Computers & Mathematics with Applications.

In The Last Decade

Kah Kay Sung

12 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

Example-based learning for view-based human face detection

1998 1.2k citations Kah Kay Sung, Tomaso Poggio IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kah Kay Sung Singapore	8	1.2k	336	173	144	68	12	1.4k
Ze-Nian Li Canada	20	969 0.8×	227 0.7×	196 1.1×	115 0.8×	67 1.0×	94	1.3k
Baozong Yuan China	12	866 0.7×	237 0.7×	162 0.9×	148 1.0×	49 0.7×	120	1.2k
Charles Jacobs United States	9	1.6k 1.4×	147 0.4×	125 0.7×	138 1.0×	66 1.0×	11	1.9k
Guocan Feng China	19	886 0.8×	242 0.7×	158 0.9×	143 1.0×	142 2.1×	76	1.3k
Xiaodong Gu China	19	741 0.6×	386 1.1×	134 0.8×	135 0.9×	29 0.4×	96	1.2k
Avinash Ravichandran United States	11	831 0.7×	465 1.4×	107 0.6×	123 0.9×	62 0.9×	18	1.1k
Hakan Çevıkalp Türkiye	17	768 0.7×	327 1.0×	182 1.1×	150 1.0×	19 0.3×	65	1.1k
Chaoqun Hong China	13	1.0k 0.9×	417 1.2×	86 0.5×	157 1.1×	69 1.0×	51	1.4k

Countries citing papers authored by Kah Kay Sung

Since Specialization

Citations

This map shows the geographic impact of Kah Kay Sung'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 Kah Kay Sung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kah Kay Sung more than expected).

Fields of papers citing papers by Kah Kay Sung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kah Kay Sung. 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 Kah Kay Sung. The network helps show where Kah Kay Sung may publish in the future.

Co-authorship network of co-authors of Kah Kay Sung

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

All Works

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12 of 12 papers shown

1.

Fan, Lixin, et al.. (2002). Pedestrian registration in static images with unconstrained background. Pattern Recognition. 36(4). 1019–1029. 12 indexed citations

2.

Fan, Lixin & Kah Kay Sung. (2002). A combined feature-texture similarity measure for face alignment under varying pose. 1. 308–313. 7 indexed citations

3.

Fan, Lixin & Kah Kay Sung. (2002). Face detection and pose alignment using colour, shape and texture information. 19–25. 16 indexed citations

4.

Tay, T.E. & Kah Kay Sung. (2002). Probabilistic learning and modelling of object dynamics for tracking. 1. 648–653. 4 indexed citations

5.

Fan, Lixin & Kah Kay Sung. (2000). Model-based varying pose face detection and facial feature registration in video images. 295–302. 6 indexed citations

6.

Syed, Nadeem Ahmed, Huan Liu, & Kah Kay Sung. (1999). A study of support vectors on model independent example selection. 272–276. 13 indexed citations

7.

Syed, Nadeem Ahmed, Huan Liu, & Kah Kay Sung. (1999). Handling concept drifts in incremental learning with support vector machines. 317–321. 163 indexed citations

8.

Sung, Kah Kay & Tomaso Poggio. (1998). Example-based learning for view-based human face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(1). 39–51. 1170 indexed citations breakdown →

9.

Sung, Kah Kay & Partha Niyogi. (1995). A Formulation for Active Learning with Applications to Object Detection. DSpace@MIT (Massachusetts Institute of Technology). 7 indexed citations

10.

Lam, K.Y., Kah Kay Sung, & Lucas C. K. Hui. (1995). A cardinalised binary representation for exponentiation. Computers & Mathematics with Applications. 30(8). 33–39. 5 indexed citations

11.

Sung, Kah Kay & Partha Niyogi. (1994). Active Learning for Function Approximation. Neural Information Processing Systems. 593–600. 19 indexed citations

12.

Sung, Kah Kay, et al.. (1992). Multi-Scale Vector-Ridge-Detection for Perceptual Organization Without Edges. DSpace@MIT (Massachusetts Institute of Technology). 15 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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