Chin-Liang Chang

About

Chin-Liang Chang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chin-Liang Chang has authored 6 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Electrical and Electronic Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chin-Liang Chang’s work include Face and Expression Recognition (2 papers), Teaching and Learning Programming (1 paper) and Neural Networks and Applications (1 paper). Chin-Liang Chang is often cited by papers focused on Face and Expression Recognition (2 papers), Teaching and Learning Programming (1 paper) and Neural Networks and Applications (1 paper). Chin-Liang Chang collaborates with scholars based in United States and Taiwan. Chin-Liang Chang's co-authors include RICHARD CHAR-TUNG LEE, Richard C. T. Lee, Juh Tzeng Lue, Steve S. Chung and E. R. Hsieh and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Computers and Elsevier eBooks.

In The Last Decade

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

Layout:

Gravity: 0.05 Iterations: 100 Initial Temp: 1000 Cooling: 0.99 Min Temp: 1

Fields of papers citing papers by Chin-Liang Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chin-Liang Chang

Since Specialization

Citations

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

Explore authors with similar magnitude of impact