Shu-Wen Yang

22 papers and 874 indexed citations i.

About

Shu-Wen Yang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Shu-Wen Yang has authored 22 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Electrical and Electronic Engineering and 5 papers in Materials Chemistry. Recurrent topics in Shu-Wen Yang’s work include Speech Recognition and Synthesis (8 papers), Natural Language Processing Techniques (6 papers) and Music and Audio Processing (5 papers). Shu-Wen Yang is often cited by papers focused on Speech Recognition and Synthesis (8 papers), Natural Language Processing Techniques (6 papers) and Music and Audio Processing (5 papers). Shu-Wen Yang collaborates with scholars based in Taiwan, United States and Japan. Shu-Wen Yang's co-authors include Tong‐Ing Ho, Arumugasamy Elangovan, Hung-yi Lee, Kuo‐Chu Hwang, Shinji Watanabe, Hsien‐Yi Hsu, Zili Huang, Andy T. Liu, Xuankai Chang and Jiatong Shi and has published in prestigious journals such as The Journal of Physical Chemistry B, The Journal of Organic Chemistry and Experimental Neurology.

In The Last Decade

Co-authorship network of co-authors of Shu-Wen Yang i

Fields of papers citing papers by Shu-Wen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu-Wen Yang. 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 Shu-Wen Yang. The network helps show where Shu-Wen Yang may publish in the future.

Countries citing papers authored by Shu-Wen Yang

Since Specialization
Citations

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