Shuo-Yiin Chang

30 papers and 1.1k indexed citations i.

About

Shuo-Yiin Chang is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shuo-Yiin Chang has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 21 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shuo-Yiin Chang’s work include Speech Recognition and Synthesis (23 papers), Speech and Audio Processing (21 papers) and Music and Audio Processing (13 papers). Shuo-Yiin Chang is often cited by papers focused on Speech Recognition and Synthesis (23 papers), Speech and Audio Processing (21 papers) and Music and Audio Processing (13 papers). Shuo-Yiin Chang collaborates with scholars based in United States, Taiwan and Finland. Shuo-Yiin Chang's co-authors include Tara N. Sainath, Bo Li, Tuomas Virtanen, H.‐G. Purwins, Jan Schlüter, Yanzhang He, Ruoming Pang, Yonghui Wu, Bo Li and Nelson Morgan and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing, 2022 IEEE Spoken Language Technology Workshop (SLT) and IEEE International Conference on Acoustics Speech and Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Shuo-Yiin Chang i

Fields of papers citing papers by Shuo-Yiin Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shuo-Yiin Chang

Since Specialization
Citations

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