Eam Khwang Teoh

75 papers receiving 1.8k citations

Hit Papers

Lane detection and tracking using B-Snake20032026201020182003100200300400500

Peers

Eam Khwang Teoh
Comparison fields: 5 of 106
  • Computer Vision and Pattern Recognition 1.4k
  • Automotive Engineering 743
  • Environmental Engineering 281
  • Artificial Intelligence 228
  • Control and Systems Engineering 185
Replace Christopher Rasmussen with:
Christopher Rasmussen United States
Wongun Choi United States
N.H.C. Yung Hong Kong
Hangen He China
Frank Moosmann Germany
Hongkai Yu United States
Yanlei Gu Japan
Cláudio R. Jung Brazil
Seiichi Mita Japan
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Eam Khwang Teoh relative to Christopher Rasmussen United States Christopher Rasmussen's profile →
Citations per field
00.5×3.1×
Christopher Rasmussen · 1×
Citations per year

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
#WorkIndexed citations
1 3
2 17
3 3
4 4
5
Hand as natural man-machine interface in smart environments
4
6 123
7
Contour Extraction in Medical Images Using B-Snake Model
1
8 15
9 1
10 6
11 6
12 17
13 13
14 20
15
Gray Level Corner Detection.
2
16 1
17
Visual Control of a Robot Head
1
18 3
19
A Hybrid Approach towards Segmentation of Range Images.
0
20 8

About Eam Khwang Teoh

Eam Khwang Teoh is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Automotive Engineering, having authored 79 papers that have together received 1.9k indexed citations. Recurring topics across this work include Image and Object Detection Techniques (22 papers), Medical Image Segmentation Techniques (19 papers) and Image Retrieval and Classification Techniques (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Automotive Engineering (743 citations) and Computational Mathematics (13 citations). Eam Khwang Teoh has collaborated with scholars based in Singapore, United States and Hong Kong. Frequent 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. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and IEEE Transactions on Image Processing.

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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