Chek Tien Tan

25 papers and 194 indexed citations i.

About

Chek Tien Tan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Chek Tien Tan has authored 25 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Human-Computer Interaction. Recurrent topics in Chek Tien Tan’s work include Artificial Intelligence in Games (10 papers), Reinforcement Learning in Robotics (6 papers) and Digital Games and Media (5 papers). Chek Tien Tan is often cited by papers focused on Artificial Intelligence in Games (10 papers), Reinforcement Learning in Robotics (6 papers) and Digital Games and Media (5 papers). Chek Tien Tan collaborates with scholars based in Singapore, Australia and United Kingdom. Chek Tien Tan's co-authors include Sander Bakkes, Kirrie J. Ballard, Yusuf Pisan, Nicole M. Etter, Beena Ahmed, Ricardo Gutiérrez‐Osuna, Diederik M. Roijers, Roberto Valenti, Theo Gevers and Shimon Whiteson and has published in prestigious journals such as Frontiers in Psychology, American Journal of Speech-Language Pathology and Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Co-authorship network of co-authors of Chek Tien Tan i

Fields of papers citing papers by Chek Tien Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chek Tien Tan. 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 Chek Tien Tan. The network helps show where Chek Tien Tan may publish in the future.

Countries citing papers authored by Chek Tien Tan

Since Specialization
Citations

This map shows the geographic impact of Chek Tien Tan'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 Chek Tien Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chek Tien Tan 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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2025