Joy T. Wu

71 total papers · 809 total citations
13 papers, 342 citations indexed

About

Joy T. Wu is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Joy T. Wu has authored 13 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Molecular Biology. Recurrent topics in Joy T. Wu’s work include Machine Learning in Healthcare (5 papers), COVID-19 diagnosis using AI (4 papers) and Biomedical Text Mining and Ontologies (4 papers). Joy T. Wu is often cited by papers focused on Machine Learning in Healthcare (5 papers), COVID-19 diagnosis using AI (4 papers) and Biomedical Text Mining and Ontologies (4 papers). Joy T. Wu collaborates with scholars based in United States, South Korea and Singapore. Joy T. Wu's co-authors include Leo Anthony Celi, Sebastian Gehrmann, Jonathan Welt, Patrick D. Tyler, Eric T. Carlson, Edward T. Moseley, Franck Dernoncourt, Yeran Li, John Foote and Daryl B. Winter and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Electron Devices and Advances in experimental medicine and biology.

Co-authorship network of co-authors of Joy T. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Joy T. Wu. A scholar is included among the top collaborators of Joy T. Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joy T. Wu. Joy T. Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Joy T. Wu

13 papers receiving 323 citations

Fields of papers citing papers by Joy T. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Joy T. Wu

Since Specialization
Citations

This map shows the geographic impact of Joy T. Wu'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 Joy T. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joy T. Wu 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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2026