Wee Kheng Leow

2.5k total citations
80 papers, 1.4k citations indexed

About

Wee Kheng Leow is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Wee Kheng Leow has authored 80 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 10 papers in Control and Systems Engineering. Recurrent topics in Wee Kheng Leow's work include Image Retrieval and Classification Techniques (22 papers), Medical Image Segmentation Techniques (13 papers) and Advanced Image and Video Retrieval Techniques (13 papers). Wee Kheng Leow is often cited by papers focused on Image Retrieval and Classification Techniques (22 papers), Medical Image Segmentation Techniques (13 papers) and Advanced Image and Video Retrieval Techniques (13 papers). Wee Kheng Leow collaborates with scholars based in Singapore, United States and Taiwan. Wee Kheng Leow's co-authors include Rudy Setiono, Kian Hsiang Low, Marcelo H. Ang, Hao Li, Jacek M. Żurada, Xiaopeng Zhang, James D. Keeler, David E. Rumelhart, Rui Li and Indriyati Atmosukarto and has published in prestigious journals such as Neural Computation, Neural Networks and American Journal of Neuroradiology.

In The Last Decade

Wee Kheng Leow

77 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wee Kheng Leow Singapore 20 732 464 114 112 101 80 1.4k
Zhen Ma China 15 467 0.6× 387 0.8× 184 1.6× 181 1.6× 104 1.0× 62 1.2k
Nipon Theera‐Umpon Thailand 20 572 0.8× 620 1.3× 205 1.8× 133 1.2× 114 1.1× 128 1.5k
Víctor Sánchez United Kingdom 22 1.2k 1.6× 531 1.1× 134 1.2× 187 1.7× 52 0.5× 128 1.8k
Adi Alhudhaif Saudi Arabia 27 513 0.7× 630 1.4× 242 2.1× 137 1.2× 38 0.4× 106 2.0k
Hong Song China 17 562 0.8× 268 0.6× 444 3.9× 315 2.8× 75 0.7× 182 1.4k
J. Andy China 19 1.0k 1.4× 431 0.9× 103 0.9× 274 2.4× 47 0.5× 51 1.5k
Bin Sheng China 24 1.0k 1.4× 348 0.8× 611 5.4× 142 1.3× 74 0.7× 114 2.1k
Alper Baştürk Türkiye 22 531 0.7× 602 1.3× 308 2.7× 140 1.3× 33 0.3× 58 1.5k
Xiang Yu China 17 599 0.8× 570 1.2× 456 4.0× 169 1.5× 37 0.4× 49 1.6k
Oh-Young Song South Korea 19 369 0.5× 460 1.0× 165 1.4× 105 0.9× 63 0.6× 71 1.6k

Countries citing papers authored by Wee Kheng Leow

Since Specialization
Citations

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

Fields of papers citing papers by Wee Kheng Leow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wee Kheng Leow. 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 Wee Kheng Leow. The network helps show where Wee Kheng Leow may publish in the future.

Co-authorship network of co-authors of Wee Kheng Leow

This figure shows the co-authorship network connecting the top 25 collaborators of Wee Kheng Leow. A scholar is included among the top collaborators of Wee Kheng Leow 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 Wee Kheng Leow. Wee Kheng Leow 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.
Leow, Wee Kheng, et al.. (2018). Flip‐avoiding interpolating surface registration for skull reconstruction. International Journal of Medical Robotics and Computer Assisted Surgery. 14(4). e1906–e1906. 1 indexed citations
2.
Leow, Wee Kheng, Guodong Li, Jian Lai, Terence Sim, & Vaishali Sharma. (2016). Hide and seek: Uncovering facial occlusion with variable-threshold robust PCA. 26. 1–8. 3 indexed citations
3.
Li, Hao, et al.. (2009). Nuclear pleomorphism scoring by selective cell nuclei detection. 35 indexed citations
4.
Li, Hao, et al.. (2009). Predictive Surgical Simulation of Aorta Reconstruction in Cardiac Surgery. Studies in health technology and informatics. 142. 159–61. 2 indexed citations
5.
Ding, Feng, Wenxian Yang, Wee Kheng Leow, & Sudhakar K. Venkatesh. (2009). 3D segmentation of soft organs by flipping-free mesh deformation. National University of Singapore. 1–7. 4 indexed citations
6.
Zhang, Xiaopeng, et al.. (2006). Rain Removal in Video by Combining Temporal and Chromatic Properties. National University of Singapore. 461–464. 205 indexed citations
7.
Huang, Wei‐Hua, Chew Lim Tan, & Wee Kheng Leow. (2005). Elliptic arc vectorization for 3d pie chart recognition. 5. 2889–2892. 4 indexed citations
8.
Leow, Wee Kheng, et al.. (2004). Automated generation of test programs from closed specifications of classes and test cases. International Conference on Software Engineering. 96–105. 19 indexed citations
9.
Low, Kian Hsiang, Wee Kheng Leow, & Marcelo H. Ang. (2004). Task allocation via self-organizing swarm coalitions in distributed mobile sensor network. National Conference on Artificial Intelligence. 36(9). 28–33. 34 indexed citations
10.
Leow, Wee Kheng, et al.. (2004). DETECTION OF FEMUR AND RADIUS FRACTURES IN X-RAY IMAGES. The Scientific World JOURNAL. 4 Suppl 1. 438–42. 32 indexed citations
11.
Chen, Ying, et al.. (2004). Detecting femur fractures by texture analysis of trabeculae. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.. 730–733 Vol.3. 13 indexed citations
12.
Li, Rui & Wee Kheng Leow. (2003). From Region Features to Semantic Labels: a Probabilistic Approach.. 402–420. 4 indexed citations
13.
Low, Kian Hsiang, Wee Kheng Leow, & Marcelo H. Ang. (2003). Action selection for single- and multi-robot tasks using cooperative extended Kohonen maps. International Joint Conference on Artificial Intelligence. 11(4). 1505–1506. 6 indexed citations
14.
Leow, Wee Kheng, et al.. (2003). Adaptive histograms and dissimilarity measure for texture retrieval and classification. Proceedings - International Conference on Image Processing. 2. II–825. 2 indexed citations
15.
Low, Kian Hsiang, Wee Kheng Leow, & Marcelo H. Ang. (2002). A hybrid mobile robot architecture with integrated planning and control. 1 indexed citations
16.
Tan, Chee Wee, et al.. (2002). Invariant and perceptually consistent texture mapping for content-based image retrieval. 2. 117–120. 5 indexed citations
17.
Leow, Wee Kheng, et al.. (2001). Perceptual texture space improves perceptual consistency of computational features. National University of Singapore. 1391–1396. 11 indexed citations
18.
Setiono, Rudy, Wee Kheng Leow, & James Y.L. Thong. (2000). Opening the neural network black box: an algorithm for extracting rules from function approximating artificial neural networks. International Conference on Information Systems. 176–186. 19 indexed citations
19.
Leow, Wee Kheng, et al.. (1998). Visual schemas in object recognition and scene analysis. MIT Press eBooks. 1029–1031. 3 indexed citations
20.
Keeler, James D., David E. Rumelhart, & Wee Kheng Leow. (1990). Integrated Segmentation and Recognition of Hand-Printed Numerals. Neural Information Processing Systems. 3. 557–563. 79 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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