Min‐Yen Kan

412 total papers · 11.4k total citations
146 papers, 2.7k citations indexed

About

Min‐Yen Kan is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Min‐Yen Kan has authored 146 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Artificial Intelligence, 28 papers in Information Systems and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Min‐Yen Kan’s work include Topic Modeling (72 papers), Natural Language Processing Techniques (59 papers) and Advanced Text Analysis Techniques (25 papers). Min‐Yen Kan is often cited by papers focused on Topic Modeling (72 papers), Natural Language Processing Techniques (59 papers) and Advanced Text Analysis Techniques (25 papers). Min‐Yen Kan collaborates with scholars based in Singapore, United States and China. Min‐Yen Kan's co-authors include Tat‐Seng Chua, Xiangnan He, Kazunari Sugiyama, Hanwang Zhang, Ziheng Lin, C. Lee Giles, Su Nam Kim, Timothy Baldwin, Hang Cui and Hwee Tou Ng and has published in prestigious journals such as Scientific Reports, Antimicrobial Agents and Chemotherapy and Communications of the ACM.

In The Last Decade

Co-authorship network of co-authors of Min‐Yen Kan

This figure shows the co-authorship network connecting the top 25 collaborators of Min‐Yen Kan. A scholar is included among the top collaborators of Min‐Yen Kan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Min‐Yen Kan. Min‐Yen Kan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Min‐Yen Kan

135 papers receiving 2.6k citations

Fields of papers citing papers by Min‐Yen Kan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min‐Yen Kan. 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 Min‐Yen Kan. The network helps show where Min‐Yen Kan may publish in the future.

Countries citing papers authored by Min‐Yen Kan

Since Specialization
Citations

This map shows the geographic impact of Min‐Yen Kan'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 Min‐Yen Kan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min‐Yen Kan 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026