Chin-Chun Chang

35 papers and 364 indexed citations i.

About

Chin-Chun Chang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Water Science and Technology. According to data from OpenAlex, Chin-Chun Chang has authored 35 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 9 papers in Water Science and Technology. Recurrent topics in Chin-Chun Chang’s work include Water Quality Monitoring Technologies (9 papers), Face and Expression Recognition (7 papers) and Video Surveillance and Tracking Methods (5 papers). Chin-Chun Chang is often cited by papers focused on Water Quality Monitoring Technologies (9 papers), Face and Expression Recognition (7 papers) and Video Surveillance and Tracking Methods (5 papers). Chin-Chun Chang collaborates with scholars based in Taiwan and Australia. Chin-Chun Chang's co-authors include Shyi‐Chyi Cheng, Naomi A. Ubina, Deron Liang, Wen‐Hsiang Tsai, Yi‐Zeng Hsieh, Bo‐Han Liao, Weichung Yeih, Hsin‐Yi Chen, Jeng‐Tzong Chen and Wei-Jen Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Sensors.

In The Last Decade

Co-authorship network of co-authors of Chin-Chun Chang i

Fields of papers citing papers by Chin-Chun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chin-Chun Chang

Since Specialization
Citations

This map shows the geographic impact of Chin-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 Chin-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 Chin-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