Chao-Chee Ku

5 papers and 434 indexed citations i.

About

Chao-Chee Ku is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Chao-Chee Ku has authored 5 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 2 papers in Artificial Intelligence. Recurrent topics in Chao-Chee Ku’s work include Advanced Image Processing Techniques (3 papers), Neural Networks and Applications (2 papers) and Video Coding and Compression Technologies (2 papers). Chao-Chee Ku is often cited by papers focused on Advanced Image Processing Techniques (3 papers), Neural Networks and Applications (2 papers) and Video Coding and Compression Technologies (2 papers). Chao-Chee Ku collaborates with scholars based in United States. Chao-Chee Ku's co-authors include K.Y. Lee and Kwang Y. Lee and has published in prestigious journals such as IEEE Transactions on Consumer Electronics, IEEE Transactions on Neural Networks and American Control Conference.

In The Last Decade

Co-authorship network of co-authors of Chao-Chee Ku i

Fields of papers citing papers by Chao-Chee Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao-Chee Ku. 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 Chao-Chee Ku. The network helps show where Chao-Chee Ku may publish in the future.

Countries citing papers authored by Chao-Chee Ku

Since Specialization
Citations

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