Kuan Eeik Tan

3 papers and 70 indexed citations i.

About

Kuan Eeik Tan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Kuan Eeik Tan has authored 3 papers receiving a total of 70 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Management Science and Operations Research. Recurrent topics in Kuan Eeik Tan’s work include Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Cryptography and Data Security (1 paper). Kuan Eeik Tan is often cited by papers focused on Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Cryptography and Data Security (1 paper). Kuan Eeik Tan collaborates with scholars based in The Netherlands and Spain. Kuan Eeik Tan's co-authors include Adrian Flanagan, Alberto Blanco-Justicia, Josep Domingo‐Ferrer, Sergio Mart́ınez, David Sánchez, Guillem Collell, Piek Vossen and Lisa Beinborn and has published in prestigious journals such as Engineering Applications of Artificial Intelligence, Artificial Intelligence Review and Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022).

In The Last Decade

Co-authorship network of co-authors of Kuan Eeik Tan i

Fields of papers citing papers by Kuan Eeik Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kuan Eeik Tan

Since Specialization
Citations

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