Yee Fan Tan

8 papers and 154 indexed citations i.

About

Yee Fan Tan is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Yee Fan Tan has authored 8 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 2 papers in Information Systems. Recurrent topics in Yee Fan Tan’s work include Natural Language Processing Techniques (3 papers), Data Quality and Management (2 papers) and Semantic Web and Ontologies (2 papers). Yee Fan Tan is often cited by papers focused on Natural Language Processing Techniques (3 papers), Data Quality and Management (2 papers) and Semantic Web and Ontologies (2 papers). Yee Fan Tan collaborates with scholars based in Singapore, Malaysia and Australia. Yee Fan Tan's co-authors include Min‐Yen Kan, Dragomir Radev, Steven Bird, Bonnie J. Dorr, Robert Dale, Dongwon Lee, Bryan R. Gibson, Tat‐Seng Chua, Jing Jiang and Hang Cui and has published in prestigious journals such as Communications of the ACM, Applied Sciences and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Yee Fan Tan i

Fields of papers citing papers by Yee Fan Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yee Fan Tan

Since Specialization
Citations

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