Ya-Liang Chang

7 papers and 180 indexed citations i.

About

Ya-Liang Chang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ya-Liang Chang has authored 7 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Signal Processing. Recurrent topics in Ya-Liang Chang’s work include Generative Adversarial Networks and Image Synthesis (4 papers), Multimodal Machine Learning Applications (2 papers) and Face recognition and analysis (2 papers). Ya-Liang Chang is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (4 papers), Multimodal Machine Learning Applications (2 papers) and Face recognition and analysis (2 papers). Ya-Liang Chang collaborates with scholars based in Taiwan and Canada. Ya-Liang Chang's co-authors include Winston H. Hsu, Kuan-Ying Lee, Yu-Siang Wang, Yuan Chen, Kaipeng Zhang, Hung-Ting Su and Pu‐Jen Cheng and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, ACM Transactions on Multimedia Computing Communications and Applications and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

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

Fields of papers citing papers by Ya-Liang Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ya-Liang Chang

Since Specialization
Citations

This map shows the geographic impact of Ya-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 Ya-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 Ya-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.

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2025