Thomas Lin

11 papers and 150 indexed citations i.

About

Thomas Lin is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Thomas Lin has authored 11 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in Thomas Lin’s work include Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Semantic Web and Ontologies (3 papers). Thomas Lin is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Semantic Web and Ontologies (3 papers). Thomas Lin collaborates with scholars based in United States. Thomas Lin's co-authors include Oren Etzioni, Patrick Pantel, Michael Gamon, James Fogarty, Asma Ben Abacha, Wen-wai Yim, Meliha Yetişgen, Neal Snider, Pedro Domingos and Alan Ritter and has published in prestigious journals such as NeuroImage, Scientific Data and CiteSeer X (The Pennsylvania State University).

In The Last Decade

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

Fields of papers citing papers by Thomas Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Thomas Lin

Since Specialization
Citations

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