Keng Teck

20 total papers · 654 total citations
8 papers, 212 citations indexed

About

Keng Teck is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Keng Teck has authored 8 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Cognitive Neuroscience and 2 papers in Signal Processing. Recurrent topics in Keng Teck’s work include Face recognition and analysis (3 papers), Bayesian Methods and Mixture Models (2 papers) and Visual Attention and Saliency Detection (2 papers). Keng Teck is often cited by papers focused on Face recognition and analysis (3 papers), Bayesian Methods and Mixture Models (2 papers) and Visual Attention and Saliency Detection (2 papers). Keng Teck collaborates with scholars based in Singapore, United States and Hong Kong. Keng Teck's co-authors include Xiaogang Wang, Gee-Wah Ng, W. Eric L. Grimson, Joo‐Hwee Lim, Jiashi Feng, Qi Zhao, Mengmi Zhang, Gabriel Kreiman, Terence Sim and Dong Guo and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Computer Vision.

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.

Keng Teck

7 papers receiving 204 citations

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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