T.S. Huang

11 papers and 152 indexed citations i.

About

T.S. Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, T.S. Huang has authored 11 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in T.S. Huang’s work include Speech and Audio Processing (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Music and Audio Processing (3 papers). T.S. Huang is often cited by papers focused on Speech and Audio Processing (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Music and Audio Processing (3 papers). T.S. Huang collaborates with scholars based in United States and China. T.S. Huang's co-authors include Ying Wu, Weihong Li, Zhigang Zhu, Ming Liu, Gerasimos Potamianos, C. Neti, A. Garg, Yuan Feng, Yong Yang and Ziyou Xiong and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Signal Processing Magazine and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of T.S. Huang i

Fields of papers citing papers by T.S. Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.S. Huang. 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 T.S. Huang. The network helps show where T.S. Huang may publish in the future.

Countries citing papers authored by T.S. Huang

Since Specialization
Citations

This map shows the geographic impact of T.S. Huang'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 T.S. Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.S. Huang 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