Chi-Min Chan

About

Chi-Min Chan is a scholar working on Artificial Intelligence, Surgery and Epidemiology. According to data from OpenAlex, Chi-Min Chan has authored 4 papers receiving a total of 207 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 Chi-Min Chan’s work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Multimodal Machine Learning Applications (1 paper). Chi-Min Chan is often cited by papers focused on Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Multimodal Machine Learning Applications (1 paper). Chi-Min Chan collaborates with scholars based in China, United Kingdom and Taiwan. Chi-Min Chan's co-authors include Zhiyuan Liu, Maosong Sun, Juanzi Li, Xiaozhi Wang, Yusheng Su, Yujia Qin, Jianfei Chen, Zonghan Yang, Jie Tang and Yang Liu and has published in prestigious journals such as Nature Machine Intelligence, Journal of the Chinese Medical Association and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Chi-Min Chan i

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Fields of papers citing papers by Chi-Min Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi-Min Chan. 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 Chi-Min Chan. The network helps show where Chi-Min Chan may publish in the future.

Countries citing papers authored by Chi-Min Chan

Since Specialization

Citations

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