Thomas Huang

12 papers and 1.0k indexed citations i.

About

Thomas Huang is a scholar working on Artificial Intelligence, Health Informatics and Oncology. According to data from OpenAlex, Thomas Huang has authored 12 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Health Informatics and 4 papers in Oncology. Recurrent topics in Thomas Huang’s work include Artificial Intelligence in Healthcare and Education (5 papers), Machine Learning in Healthcare (4 papers) and Genetic factors in colorectal cancer (2 papers). Thomas Huang is often cited by papers focused on Artificial Intelligence in Healthcare and Education (5 papers), Machine Learning in Healthcare (4 papers) and Genetic factors in colorectal cancer (2 papers). Thomas Huang collaborates with scholars based in United States, Ireland and Taiwan. Thomas Huang's co-authors include Conrad Safranek, Richard A. Taylor, Vimig Socrates, Ling Chi, David Chartash, Aidan Gilson, Chiun‐Sheng Huang, Po‐Han Lin, Chiao Lo and Sung‐Hsin Kuo and has published in prestigious journals such as Journal of Medical Internet Research, Cancer Science and Frontiers in Oncology.

In The Last Decade

Co-authorship network of co-authors of Thomas Huang i

Fields of papers citing papers by Thomas Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Thomas Huang

Since Specialization
Citations

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