Matthew Yee-King

24 papers and 135 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 24 papers receiving a total of 135 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 Spain. Matthew Yee-King's co-authors include Mark d’Inverno, Jon McCormack, Mick Grierson, Toby Gifford and Martin M. Roth 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

Fields of papers citing papers by Matthew Yee-King

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Matthew Yee-King. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025