Ching‐Chun Chang

62 papers and 518 indexed citations i.

About

Ching‐Chun Chang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ching‐Chun Chang has authored 62 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Ching‐Chun Chang’s work include Advanced Steganography and Watermarking Techniques (43 papers), Chaos-based Image/Signal Encryption (34 papers) and Digital Media Forensic Detection (28 papers). Ching‐Chun Chang is often cited by papers focused on Advanced Steganography and Watermarking Techniques (43 papers), Chaos-based Image/Signal Encryption (34 papers) and Digital Media Forensic Detection (28 papers). Ching‐Chun Chang collaborates with scholars based in Taiwan, United Kingdom and China. Ching‐Chun Chang's co-authors include Chang‐Tsun Li, Yanjun Liu, Thai‐Son Nguyen, Chin‐Chen Chang, Yun-Qing Shi, Ji-Hwei Horng, Kaimeng Chen, Ying‐Hsuan Huang, Yi-Hui Chen and Li Li and has published in prestigious journals such as Expert Systems with Applications, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Ching‐Chun Chang i

Fields of papers citing papers by Ching‐Chun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ching‐Chun Chang

Since Specialization
Citations

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