Yi Chern Tan

4 papers and 85 indexed citations i.

About

Yi Chern Tan is a scholar working on Artificial Intelligence, Surgery and Epidemiology. According to data from OpenAlex, Yi Chern Tan has authored 4 papers receiving a total of 85 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Surgery and 1 paper in Epidemiology. Recurrent topics in Yi Chern Tan’s work include Natural Language Processing Techniques (3 papers), Topic Modeling (2 papers) and Multimodal Machine Learning Applications (1 paper). Yi Chern Tan is often cited by papers focused on Natural Language Processing Techniques (3 papers), Topic Modeling (2 papers) and Multimodal Machine Learning Applications (1 paper). Yi Chern Tan collaborates with scholars based in United States, Czechia and Australia. Yi Chern Tan's co-authors include L. Elisa Celis, Caiming Xiong, Dragomir Radev, Xi Lin, Vincent Zhang, Irene Li, Tao Chen, Sungrok Shim, Michihiro Yasunaga and Richard Socher and has published in prestigious journals such as Critical Care Medicine, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Yi Chern Tan i

Fields of papers citing papers by Yi Chern Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yi Chern Tan

Since Specialization
Citations

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