Yun-Hsuan Sung

19 papers and 583 indexed citations i.

About

Yun-Hsuan Sung is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yun-Hsuan Sung has authored 19 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 5 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yun-Hsuan Sung’s work include Natural Language Processing Techniques (13 papers), Topic Modeling (11 papers) and Speech Recognition and Synthesis (9 papers). Yun-Hsuan Sung is often cited by papers focused on Natural Language Processing Techniques (13 papers), Topic Modeling (11 papers) and Speech Recognition and Synthesis (9 papers). Yun-Hsuan Sung collaborates with scholars based in United States and Switzerland. Yun-Hsuan Sung's co-authors include Brian Strope, Yinfei Yang, Daniel Cer, Ray Kurzweil, Mandy Guo, Steve Yuan, Noah Constant, Gustavo Hernández Ábrego, Chris Tar and Amin Ahmad and has published in prestigious journals such as CiteSeer X (The Pennsylvania State University), arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Yun-Hsuan Sung i

Fields of papers citing papers by Yun-Hsuan Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun-Hsuan Sung. 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 Yun-Hsuan Sung. The network helps show where Yun-Hsuan Sung may publish in the future.

Countries citing papers authored by Yun-Hsuan Sung

Since Specialization
Citations

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