Kay Chen Tan

453 papers and 17.0k indexed citations i.

About

Kay Chen Tan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Kay Chen Tan has authored 453 papers receiving a total of 17.0k indexed citations (citations by other indexed papers that have themselves been cited), including 276 papers in Artificial Intelligence, 176 papers in Computational Theory and Mathematics and 47 papers in Industrial and Manufacturing Engineering. Recurrent topics in Kay Chen Tan’s work include Metaheuristic Optimization Algorithms Research (191 papers), Advanced Multi-Objective Optimization Algorithms (167 papers) and Evolutionary Algorithms and Applications (141 papers). Kay Chen Tan is often cited by papers focused on Metaheuristic Optimization Algorithms Research (191 papers), Advanced Multi-Objective Optimization Algorithms (167 papers) and Evolutionary Algorithms and Applications (141 papers). Kay Chen Tan collaborates with scholars based in Singapore, Hong Kong and China. Kay Chen Tan's co-authors include Chi-Keong Goh, Mengjie Zhang, Liang Feng, Yew-Soon Ong, A. K. Qin, Haizhou Li, Su Nguyen, Xiaoxiang Shen, Pin Lim and Chong Zhang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and European Journal of Operational Research.

In The Last Decade

Co-authorship network of co-authors of Kay Chen Tan i

Fields of papers citing papers by Kay Chen Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kay Chen Tan

Since Specialization
Citations

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