Chew-Lim Tan

8 papers and 293 indexed citations i.

About

Chew-Lim Tan is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chew-Lim Tan has authored 8 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Chew-Lim Tan’s work include Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Biomedical Text Mining and Ontologies (2 papers). Chew-Lim Tan is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Biomedical Text Mining and Ontologies (2 papers). Chew-Lim Tan collaborates with scholars based in Singapore, China and United States. Chew-Lim Tan's co-authors include Jian Su, Jie Zhang, Dan Shen, Guodong Zhou, Hwee-Boon Low, Man Lan, Tao Chen, Shijian Lu, Shangxuan Tian and Joo‐Hwee Lim and has published in prestigious journals such as Bioinformatics, Journal of Biomedical Informatics and International Journal on Document Analysis and Recognition (IJDAR).

In The Last Decade

Co-authorship network of co-authors of Chew-Lim Tan i

Fields of papers citing papers by Chew-Lim Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chew-Lim 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 Chew-Lim Tan. The network helps show where Chew-Lim Tan may publish in the future.

Countries citing papers authored by Chew-Lim Tan

Since Specialization
Citations

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