Yi-han Sheu

16 papers and 217 indexed citations i.

About

Yi-han Sheu is a scholar working on Clinical Psychology, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Yi-han Sheu has authored 16 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Clinical Psychology, 4 papers in Artificial Intelligence and 4 papers in Social Psychology. Recurrent topics in Yi-han Sheu’s work include Mental Health Research Topics (4 papers), Mental Health Treatment and Access (3 papers) and Machine Learning in Healthcare (3 papers). Yi-han Sheu is often cited by papers focused on Mental Health Research Topics (4 papers), Mental Health Treatment and Access (3 papers) and Machine Learning in Healthcare (3 papers). Yi-han Sheu collaborates with scholars based in United States, Taiwan and Israel. Yi-han Sheu's co-authors include Sonja A. Swanson, Matthew Miller, Til Stürmer‎, Deborah Azrael, Colin Magdamo, Matthew Miller, Deborah Blacker, Virginia Pate, Sudeshna Das and Jordan W. Smoller and has published in prestigious journals such as Nature Communications, Psychological Medicine and Nutrients.

In The Last Decade

Co-authorship network of co-authors of Yi-han Sheu i

Fields of papers citing papers by Yi-han Sheu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi-han Sheu. 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 Yi-han Sheu. The network helps show where Yi-han Sheu may publish in the future.

Countries citing papers authored by Yi-han Sheu

Since Specialization
Citations

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