Kai-Min Chung

35 papers and 384 indexed citations i.

About

Kai-Min Chung is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Kai-Min Chung has authored 35 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 12 papers in Computational Theory and Mathematics and 10 papers in Computer Networks and Communications. Recurrent topics in Kai-Min Chung’s work include Cryptography and Data Security (14 papers), Combinatorial Optimization and Complexity Theory (10 papers) and Quantum Computing Algorithms and Architecture (6 papers). Kai-Min Chung is often cited by papers focused on Cryptography and Data Security (14 papers), Combinatorial Optimization and Complexity Theory (10 papers) and Quantum Computing Algorithms and Architecture (6 papers). Kai-Min Chung collaborates with scholars based in United States, Taiwan and Italy. Kai-Min Chung's co-authors include Chih‐Jen Lin, Wei‐Chun Kao, Chia‐Liang Sun, Li-Lun Wang, Ching–Yi Lai, Seth Pettie, Hsueh-I Lu, Rafael Pass, Carmen Wong and Fabrizio Luccio and has published in prestigious journals such as Neural Computation, Journal of the ACM and IEEE Transactions on Computers.

In The Last Decade

Co-authorship network of co-authors of Kai-Min Chung i

Fields of papers citing papers by Kai-Min Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kai-Min Chung

Since Specialization
Citations

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