Tai-Shih Chi

40 papers and 991 indexed citations i.

About

Tai-Shih Chi is a scholar working on Signal Processing, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Tai-Shih Chi has authored 40 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Signal Processing, 14 papers in Cognitive Neuroscience and 10 papers in Artificial Intelligence. Recurrent topics in Tai-Shih Chi’s work include Speech and Audio Processing (32 papers), Music and Audio Processing (15 papers) and Hearing Loss and Rehabilitation (12 papers). Tai-Shih Chi is often cited by papers focused on Speech and Audio Processing (32 papers), Music and Audio Processing (15 papers) and Hearing Loss and Rehabilitation (12 papers). Tai-Shih Chi collaborates with scholars based in Taiwan, United States and Germany. Tai-Shih Chi's co-authors include Shihab Shamma, Powen Ru, Mounya Elhilali, Yujie Gao, Jonathan B. Fritz, Ping Gao, Yu Tsao, Chia‐Hsiang Yang, Chin-Cheng Hsu and Jen‐Tzung Chien and has published in prestigious journals such as Journal of Neuroscience, The Journal of the Acoustical Society of America and IEEE Journal of Solid-State Circuits.

In The Last Decade

Co-authorship network of co-authors of Tai-Shih Chi i

Fields of papers citing papers by Tai-Shih Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai-Shih Chi. 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 Tai-Shih Chi. The network helps show where Tai-Shih Chi may publish in the future.

Countries citing papers authored by Tai-Shih Chi

Since Specialization
Citations

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