Tom Young

7 papers and 2.0k indexed citations i.

About

Tom Young is a scholar working on Artificial Intelligence, Signal Processing and Industrial relations. According to data from OpenAlex, Tom Young has authored 7 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 1 paper in Signal Processing and 0 papers in Industrial relations. Recurrent topics in Tom Young’s work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Speech and dialogue systems (5 papers). Tom Young is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Speech and dialogue systems (5 papers). Tom Young collaborates with scholars based in Singapore, China and Italy. Tom Young's co-authors include Erik Cambria, Soujanya Poria, Devamanyu Hazarika, Hao Zhou, Minlie Huang, Iti Chaturvedi, Fuzhao Xue, Frank Xing, Paolo Gastaldo and Edoardo Ragusa and has published in prestigious journals such as Neurocomputing, Neural Computing and Applications and Artificial Intelligence Review.

In The Last Decade

Co-authorship network of co-authors of Tom Young i

Fields of papers citing papers by Tom Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tom Young

Since Specialization
Citations

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