Jyh‐Yeong Chang

38 papers and 1.2k indexed citations i.

About

Jyh‐Yeong Chang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Jyh‐Yeong Chang has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 6 papers in Media Technology. Recurrent topics in Jyh‐Yeong Chang’s work include Neural Networks and Applications (16 papers), Fuzzy Logic and Control Systems (12 papers) and Face and Expression Recognition (7 papers). Jyh‐Yeong Chang is often cited by papers focused on Neural Networks and Applications (16 papers), Fuzzy Logic and Control Systems (12 papers) and Face and Expression Recognition (7 papers). Jyh‐Yeong Chang collaborates with scholars based in Taiwan, Australia and United States. Jyh‐Yeong Chang's co-authors include Chin‐Teng Lin, Yang-Yin Lin, Lun‐De Liao, I-Jan Wang, Shih-Yu Li, Chi‐Yu Chen, Sheng‐Fu Chen, Bowei Chen, Nikhil R. Pal and Kaleb McDowell and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Industrial Electronics and Sensors.

In The Last Decade

Co-authorship network of co-authors of Jyh‐Yeong Chang i

Fields of papers citing papers by Jyh‐Yeong Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jyh‐Yeong Chang

Since Specialization
Citations

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