Chin‐Chen Chang

850 papers and 13.7k indexed citations i.

About

Chin‐Chen Chang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Chin‐Chen Chang has authored 850 papers receiving a total of 13.7k indexed citations (citations by other indexed papers that have themselves been cited), including 593 papers in Computer Vision and Pattern Recognition, 278 papers in Artificial Intelligence and 171 papers in Information Systems. Recurrent topics in Chin‐Chen Chang’s work include Advanced Steganography and Watermarking Techniques (433 papers), Chaos-based Image/Signal Encryption (376 papers) and Digital Media Forensic Detection (276 papers). Chin‐Chen Chang is often cited by papers focused on Advanced Steganography and Watermarking Techniques (433 papers), Chaos-based Image/Signal Encryption (376 papers) and Digital Media Forensic Detection (276 papers). Chin‐Chen Chang collaborates with scholars based in Taiwan, China and United States. Chin‐Chen Chang's co-authors include Chia‐Chen Lin, Chuan Qin, Wei‐Liang Tai, Tung-Shou Chen, Yu‐Chen Hu, Thai‐Son Nguyen, Hai‐Duong Le, Tzu-Chuen Lu, Chih‐Yang Lin and Jen‐Ho Yang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Industrial Electronics and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Chin‐Chen Chang i

Fields of papers citing papers by Chin‐Chen Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chin‐Chen Chang

Since Specialization
Citations

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