Chu‐Song Chen

89 papers and 2.5k indexed citations i.

About

Chu‐Song Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Chu‐Song Chen has authored 89 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 14 papers in Signal Processing. Recurrent topics in Chu‐Song Chen’s work include Advanced Image and Video Retrieval Techniques (28 papers), Advanced Vision and Imaging (19 papers) and Video Surveillance and Tracking Methods (18 papers). Chu‐Song Chen is often cited by papers focused on Advanced Image and Video Retrieval Techniques (28 papers), Advanced Vision and Imaging (19 papers) and Video Surveillance and Tracking Methods (18 papers). Chu‐Song Chen collaborates with scholars based in Taiwan, United States and China. Chu‐Song Chen's co-authors include Huei‐Fang Yang, Hsin-Chien Huang, Yung‐Yu Chuang, Kevin Lin, Jen-Hao Hsiao, Yi-Ping Hung, Kevin Lin, Chun-Rong Huang, Yi‐Ping Hung and Winston H. Hsu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Chu‐Song Chen i

Fields of papers citing papers by Chu‐Song Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chu‐Song Chen

Since Specialization
Citations

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