Chek Tien Tan

82 total papers · 953 total citations
57 papers, 632 citations indexed

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 57 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 16 papers in Human-Computer Interaction. Recurrent topics in Chek Tien Tan's work include Artificial Intelligence in Games (15 papers), Educational Games and Gamification (12 papers) and Digital Games and Media (9 papers). Chek Tien Tan is often cited by papers focused on Artificial Intelligence in Games (15 papers), Educational Games and Gamification (12 papers) and Digital Games and Media (9 papers). Chek Tien Tan collaborates with scholars based in Australia, Singapore and United Kingdom. Chek Tien Tan's co-authors include Yusuf Pisan, Sander Bakkes, Tuck Wah Leong, Kirrie J. Ballard, Si Chen, Andrew Johnston, Florian Mueller, Ricardo Gutiérrez‐Osuna, Shimon Whiteson and Nicole M. Etter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and American Journal of Speech-Language Pathology.

In The Last Decade

Chek Tien Tan

53 papers receiving 606 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chek Tien Tan 191 170 158 127 117 57 632
Genaro Rebolledo‐Mendez 302 1.6× 174 1.0× 147 0.9× 51 0.4× 91 0.8× 38 677
Simon McCallum 142 0.7× 86 0.5× 69 0.4× 81 0.6× 100 0.9× 26 554
Dominic Kao 183 1.0× 252 1.5× 58 0.4× 76 0.6× 121 1.0× 58 553
Jan David Smeddinck 192 1.0× 255 1.5× 151 1.0× 76 0.6× 190 1.6× 66 715
Sandra Baldassarri 84 0.4× 177 1.0× 72 0.5× 144 1.1× 59 0.5× 89 610
Panote Siriaraya 80 0.4× 186 1.1× 78 0.5× 87 0.7× 114 1.0× 79 749
Alena Denisova 293 1.5× 184 1.1× 119 0.8× 104 0.8× 254 2.2× 33 623
Angeliki Antoniou 143 0.7× 145 0.9× 72 0.5× 51 0.4× 126 1.1× 73 643
Davіd Passіg 209 1.1× 174 1.0× 48 0.3× 73 0.6× 77 0.7× 41 581
Betsy van Dijk 101 0.5× 189 1.1× 197 1.2× 76 0.6× 86 0.7× 63 696

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).

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.

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

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

All Works

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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