Matthew Yee-King

25 papers and 142 indexed citations i.

About

Matthew Yee-King is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Matthew Yee-King has authored 25 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 7 papers in Artificial Intelligence. Recurrent topics in Matthew Yee-King’s work include Music Technology and Sound Studies (13 papers), Music and Audio Processing (10 papers) and Online Learning and Analytics (4 papers). Matthew Yee-King is often cited by papers focused on Music Technology and Sound Studies (13 papers), Music and Audio Processing (10 papers) and Online Learning and Analytics (4 papers). Matthew Yee-King collaborates with scholars based in United Kingdom, Australia and Italy. Matthew Yee-King's co-authors include Mark d’Inverno, Jon McCormack, Toby Gifford, Martin M. Roth, Mick Grierson, Harry Brenton, Roberto Confalonieri, Henri Prade, Nardine Osman and Dave de Jonge and has published in prestigious journals such as Engineering Applications of Artificial Intelligence, Journal of the Audio Engineering Society and IEEE Transactions on Emerging Topics in Computational Intelligence.

In The Last Decade

Co-authorship network of co-authors of Matthew Yee-King i

Fields of papers citing papers by Matthew Yee-King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Yee-King. 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 Matthew Yee-King. The network helps show where Matthew Yee-King may publish in the future.

Countries citing papers authored by Matthew Yee-King

Since Specialization
Citations

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