Eam Khwang Teoh

2.7k total citations · 1 hit paper
79 papers, 1.9k citations indexed

About

Eam Khwang Teoh is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Eam Khwang Teoh has authored 79 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Computer Vision and Pattern Recognition, 14 papers in Aerospace Engineering and 9 papers in Computational Mechanics. Recurrent topics in Eam Khwang Teoh's work include Image and Object Detection Techniques (22 papers), Medical Image Segmentation Techniques (19 papers) and Image Retrieval and Classification Techniques (17 papers). Eam Khwang Teoh is often cited by papers focused on Image and Object Detection Techniques (22 papers), Medical Image Segmentation Techniques (19 papers) and Image Retrieval and Classification Techniques (17 papers). Eam Khwang Teoh collaborates with scholars based in Singapore, United States and Hong Kong. Eam Khwang Teoh's co-authors include Dinggang Shen, Yue Wang, Yue Wang, Wei‐Yun Yau, Han Wang, Graham C. Goodwin, Zhiqiang Zheng, Horace H. S. Ip, Ronda Venkateswarlu and Hui Kong and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and IEEE Transactions on Image Processing.

In The Last Decade

Eam Khwang Teoh

75 papers receiving 1.8k citations

Hit Papers

Lane detection and tracking using B-Snake 2003 2026 2010 2018 2003 100 200 300 400 500
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. Lane detection and tracking using B-Snake
    2003 576 citations Eam Khwang Teoh, Dinggang Shen et al. Image and Vision Computing profile →

Peers

Eam Khwang Teoh
A. Fascioli Italy
Dan Levi Israel
Zehang Sun United States
T. Graf Germany
Christopher Rasmussen United States
Sayanan Sivaraman United States
Radu Dănescu Romania
Seiichi Mita Japan
Cristiano Premebida Portugal
Denis F. Wolf Brazil
A. Fascioli Italy
Eam Khwang Teoh
Citations per year, relative to Eam Khwang Teoh Eam Khwang Teoh (= 1×) peers A. Fascioli

Countries citing papers authored by Eam Khwang Teoh

Since Specialization
Citations

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

Fields of papers citing papers by Eam Khwang Teoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eam Khwang Teoh. 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 Eam Khwang Teoh. The network helps show where Eam Khwang Teoh may publish in the future.

Co-authorship network of co-authors of Eam Khwang Teoh

This figure shows the co-authorship network connecting the top 25 collaborators of Eam Khwang Teoh. A scholar is included among the top collaborators of Eam Khwang Teoh 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 Eam Khwang Teoh. Eam Khwang Teoh 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.
Yau, Wei‐Yun, et al.. (2016). Improving human body part detection using deep learning and motion consistency. 1–5. 3 indexed citations
2.
Yau, Wei‐Yun, et al.. (2013). Family verification based on similarity of individual family member’s facial segments. Machine Vision and Applications. 25(4). 919–930. 17 indexed citations
3.
Farzinfar, Mahshid, Eam Khwang Teoh, & Zhong Xue. (2011). A joint shape evolution approach to medical image segmentation using expectation–maximization algorithm. Magnetic Resonance Imaging. 29(9). 1255–1266. 3 indexed citations
4.
Farzinfar, Mahshid, Zhong Xue, & Eam Khwang Teoh. (2010). A novel approach for curve evolution in segmentation of medical images. Computerized Medical Imaging and Graphics. 34(5). 354–361. 4 indexed citations
5.
Xie, Wei, Eam Khwang Teoh, Ronda Venkateswarlu, & Xiang Chen. (2006). Hand as natural man-machine interface in smart environments. International Conference on Signal Processing. 117–122. 4 indexed citations
6.
Kong, Hui, Lei Wang, Eam Khwang Teoh, et al.. (2005). Generalized 2D principal component analysis for face image representation and recognition. Neural Networks. 18(5-6). 585–594. 123 indexed citations
7.
Teoh, Eam Khwang, et al.. (2002). Contour Extraction in Medical Images Using B-Snake Model. Machine Vision and Applications. 248–252. 1 indexed citations
8.
Xue, Zhong, Stan Z. Li, & Eam Khwang Teoh. (2002). AI-EigenSnake: an affine-invariant deformable contour model for object matching. Image and Vision Computing. 20(2). 77–84. 15 indexed citations
9.
Shen, Dinggang, Horace H. S. Ip, & Eam Khwang Teoh. (2002). Detecting reflection axes by energy minimisation. 2. 1026–1029. 1 indexed citations
10.
Wang, Han, et al.. (2002). Adaptive state estimation for 4-wheel steerable industrial vehicles. 4. 4509–4514. 6 indexed citations
11.
Shen, Dinggang, Horace H. S. Ip, & Eam Khwang Teoh. (2001). An energy of asymmetry for accurate detection of global reflection axes. Image and Vision Computing. 19(5). 283–297. 6 indexed citations
12.
Xue, Zhong, Dinggang Shen, & Eam Khwang Teoh. (2001). An efficient fuzzy algorithm for aligning shapes under affine transformations. Pattern Recognition. 34(6). 1171–1180. 17 indexed citations
13.
Shen, Dinggang, Horace H. S. Ip, & Eam Khwang Teoh. (2001). Robust detection of skewed symmetries by combining local and semi-local affine invariants. Pattern Recognition. 34(7). 1417–1428. 13 indexed citations
14.
Suganthan, Ponnuthurai Nagaratnam, Eam Khwang Teoh, & D.P. Mital. (1999). Hopfield network with constraint parameter adaptation for overlapped shape recognition. IEEE Transactions on Neural Networks. 10(2). 444–449. 20 indexed citations
15.
Wang, Han, Zhiqiang Zheng, & Eam Khwang Teoh. (1998). Gray Level Corner Detection.. Machine Vision and Applications. 207–210. 2 indexed citations
16.
Teoh, Eam Khwang, et al.. (1998). Efficient algorithms for obtaining algebraic invariants from higher degree implicit polynomials for recognition of curved objects. Pattern Recognition. 31(3). 301–313. 1 indexed citations
17.
Wang, Han, Stan Z. Li, & Eam Khwang Teoh. (1994). Visual Control of a Robot Head. Machine Vision and Applications. 131–134. 1 indexed citations
18.
Teoh, Eam Khwang, et al.. (1994). A hybrid method for range image segmentation. Journal of Mathematical Imaging and Vision. 4(1). 69–80. 3 indexed citations
19.
Teoh, Eam Khwang, et al.. (1992). A Hybrid Approach towards Segmentation of Range Images.. Machine Vision and Applications. 39–42.
20.
Teoh, Eam Khwang, et al.. (1984). An Improved Strip Thickness Controller for a Rolling Mill. IFAC Proceedings Volumes. 17(2). 1741–1746. 8 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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