Keng Teck

7 papers and 206 indexed citations
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About

Keng Teck is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Keng Teck has authored 7 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Keng Teck’s work include Advanced Image and Video Retrieval Techniques (2 papers), Visual Attention and Saliency Detection (2 papers) and Face and Expression Recognition (2 papers). Keng Teck is often cited by papers focused on Advanced Image and Video Retrieval Techniques (2 papers), Visual Attention and Saliency Detection (2 papers) and Face and Expression Recognition (2 papers). Keng Teck collaborates with scholars based in Singapore, United States and Hong Kong. Keng Teck's co-authors include Gee-Wah Ng, W. Eric L. Grimson, Xiaogang Wang, Qi Zhao, Mengmi Zhang, Jiashi Feng, Joo‐Hwee Lim, Gabriel Kreiman, Terence Sim and Li Zhang and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Keng Teck

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

Fields of papers citing papers by Keng Teck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keng Teck. 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 Keng Teck. The network helps show where Keng Teck may publish in the future.

Countries citing papers authored by Keng Teck

Since Specialization
Citations

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

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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2026