Pei-Yun Hsueh

23 papers and 131 indexed citations i.

About

Pei-Yun Hsueh is a scholar working on Artificial Intelligence, Physiology and General Health Professions. According to data from OpenAlex, Pei-Yun Hsueh has authored 23 papers receiving a total of 131 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 3 papers in Physiology and 3 papers in General Health Professions. Recurrent topics in Pei-Yun Hsueh’s work include Speech and dialogue systems (7 papers), Machine Learning in Healthcare (5 papers) and Topic Modeling (4 papers). Pei-Yun Hsueh is often cited by papers focused on Speech and dialogue systems (7 papers), Machine Learning in Healthcare (5 papers) and Topic Modeling (4 papers). Pei-Yun Hsueh collaborates with scholars based in United States, United Kingdom and Taiwan. Pei-Yun Hsueh's co-authors include Johanna D. Moore, Steve Renals, Keith M. Diaz, Ying Kuen Cheung, Min Qian, Karina W. Davidson, Sreeram Ramakrishnan, Thomas C. Wetter, Sanjoy Kumer Dey and Ching-Hua Chen and has published in prestigious journals such as Sensors, Decision Support Systems and Telematics and Informatics.

In The Last Decade

Co-authorship network of co-authors of Pei-Yun Hsueh i

Fields of papers citing papers by Pei-Yun Hsueh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pei-Yun Hsueh

Since Specialization
Citations

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