Mu‐Yen Chen

129 papers and 3.1k indexed citations i.

About

Mu‐Yen Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Mu‐Yen Chen has authored 129 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 24 papers in Computer Vision and Pattern Recognition and 20 papers in Management Science and Operations Research. Recurrent topics in Mu‐Yen Chen’s work include Stock Market Forecasting Methods (16 papers), Imbalanced Data Classification Techniques (10 papers) and Neural Networks and Applications (9 papers). Mu‐Yen Chen is often cited by papers focused on Stock Market Forecasting Methods (16 papers), Imbalanced Data Classification Techniques (10 papers) and Neural Networks and Applications (9 papers). Mu‐Yen Chen collaborates with scholars based in Taiwan, Austria and Türkiye. Mu‐Yen Chen's co-authors include Pradip Kumar Sharma, Jong Hyuk Park, Hsiu‐Sen Chiang, Mu‐Jung Huang, An‐Pin Chen, Yu Shu, Shu-Hsuan Chang, Chien Hsiang Liao, Kuan-Cheng Lin and G. J. Y. Hsu and has published in prestigious journals such as Bioinformatics, Computers in Human Behavior and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Mu‐Yen Chen i

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Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Mu‐Yen Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mu‐Yen Chen

Since Specialization

Citations

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