Matthew Yee-King
Impact in
- Human-Computer Interaction top 10%
- Innovative Human-Technology Interaction
- Virtual Reality Applications and Impacts
- Signal Processing top 10%
- Music and Audio Processing
- Speech and Audio Processing
Papers in
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- Music Technology and Sound Studies 19
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- Music and Audio Processing 15
- Speech and Audio Processing 3
- Co-authors
- Mark d’Inverno (23 shared papers)Jon McCormack (4 shared papers)Toby Gifford (3 shared papers)Patrick Hutchings (2 shared papers)Martin M. Roth (2 shared papers)Mick Grierson (6 shared papers)Harry Brenton (4 shared papers)Mohammad Majid al‐Rifaie (2 shared papers)
- Journals
- Journal of the Audio Engineering Society (2 papers)Contemporary Music Review (1 paper)Engineering Applications of Artificial Intelligence (1 paper)Organised Sound (1 paper)IEEE Transactions on Emerging Topics in Computational Intelligence (1 paper)
- Partner nations
- United KingdomAustraliaSpain
In The Last Decade
Matthew Yee-King
31 papers receiving 226 citations
Peers
Comparison fields: 5 of 53
- Human-Computer Interaction 46
- Signal Processing 67
- Computer Science Applications 33
- Computer Vision and Pattern Recognition 112
- Health Informatics 6
Countries citing papers authored by Matthew Yee-King
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).
Fields of papers citing papers by Matthew Yee-King
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.
Co-authors
The 22 scholars most cited alongside Matthew Yee-King, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 48 | |
| 2 | 2019 | 38 | |
| 3 | 2018 | 21 | |
| 4 | 2018 | 17 | |
| 5 | SYNTHBOT: AN UNSUPERVISED SOFTWARE SYNTHESIZER PROGRAMMER | 2009 | 11 |
| 6 | Experience driven design of creative systems | 2016 | 10 |
| 7 | A Comparison of Parametric Optimization Techniques for Musical Instrument Tone Matching | 2011 | 8 |
| 8 | 2017 | 8 | |
| 9 | Designing Educational Social Machines for Effective Feedback. | 2014 | 7 |
| 10 | 2017 | 7 | |
| 11 | 2015 | 7 | |
| 12 | 2017 | 6 | |
| 13 | 2015 | 5 | |
| 14 | Progress Report on the EAVI BCI Toolkit for Music: Musical Applications of Algorithms for use with consumer brain computer interfaces | 2011 | 4 |
| 15 | 2017 | 4 | |
| 16 | 2016 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2016 | 4 | |
| 19 | 2019 | 4 | |
| 20 | Measuring the Impact of Level of Detail for Environmental Soundscapes in Digital Games | 2019 | 3 |
About Matthew Yee-King
Matthew Yee-King is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology, having authored 36 papers that have together received 243 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (19 papers), Music and Audio Processing (15 papers), Online Learning and Analytics (7 papers), Educational Games and Gamification (4 papers), Innovative Teaching and Learning Methods (4 papers), Teaching and Learning Programming (3 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers) and Speech and Audio Processing (3 papers). The work is most often cited by research in Human-Computer Interaction (46 citations), Signal Processing (67 citations), Computer Science Applications (33 citations), Computer Vision and Pattern Recognition (112 citations) and Health Informatics (6 citations). Matthew Yee-King has collaborated with scholars based in United Kingdom, Australia and Spain. Frequent co-authors include Mark d’Inverno, Jon McCormack, Toby Gifford, Patrick Hutchings, Martin M. Roth, Mick Grierson, Harry Brenton, Mohammad Majid al‐Rifaie, Tim Blackwell and Roberto Confalonieri. Their work appears in journals such as Journal of the Audio Engineering Society, Contemporary Music Review, Engineering Applications of Artificial Intelligence, Organised Sound and IEEE Transactions on Emerging Topics in Computational Intelligence.
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.