Chien-Chung Chan

16 papers and 328 indexed citations i.

About

Chien-Chung Chan is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems. According to data from OpenAlex, Chien-Chung Chan has authored 16 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 7 papers in Artificial Intelligence and 6 papers in Information Systems. Recurrent topics in Chien-Chung Chan’s work include Rough Sets and Fuzzy Logic (10 papers), Data Mining Algorithms and Applications (6 papers) and Neural Networks and Applications (4 papers). Chien-Chung Chan is often cited by papers focused on Rough Sets and Fuzzy Logic (10 papers), Data Mining Algorithms and Applications (6 papers) and Neural Networks and Applications (4 papers). Chien-Chung Chan collaborates with scholars based in United States, Taiwan and Canada. Chien-Chung Chan's co-authors include Jerzy W. Grzymala‐Busse, Wojciech Ziarko, Celal Batur, Gwo‐Hshiung Tzeng, Yuping Yang, How‐Ming Shieh, Andrzej Skowron, James F. Peters, Yu‐Jiun Lin and Tianhe Xu and has published in prestigious journals such as Information Sciences, The International Journal of Advanced Manufacturing Technology and Engineering Applications of Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Chien-Chung Chan i

Fields of papers citing papers by Chien-Chung Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chien-Chung Chan

Since Specialization
Citations

This map shows the geographic impact of Chien-Chung 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 Chien-Chung Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien-Chung 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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2025