Mitchell Yuwono
Impact in
-
- Emotion and Mood Recognition
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
Papers in
-
- Advanced Clustering Algorithms Research 5
- Anomaly Detection Techniques and Applications 3
- Bayesian Methods and Mixture Models 3
-
- Face and Expression Recognition 4
- Co-authors
- Steven W. Su (20 shared papers)Hung T. Nguyen (15 shared papers)Bruce Moulton (7 shared papers)Henry Candra (4 shared papers)Rifai Chai (4 shared papers)Ying Guo (5 shared papers)A. M. Ardi Handojoseno (4 shared papers)Branko G. Celler (2 shared papers)
In The Last Decade
Mitchell Yuwono
23 papers receiving 618 citations
Peers
Comparison fields: 5 of 90
- Experimental and Cognitive Psychology 160
- Cognitive Neuroscience 180
- Physical Therapy, Sports Therapy and Rehabilitation 35
- Human-Computer Interaction 37
- Control and Systems Engineering 122
Countries citing papers authored by Mitchell Yuwono
This map shows the geographic impact of Mitchell Yuwono'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 Mitchell Yuwono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell Yuwono more than expected).
Fields of papers citing papers by Mitchell Yuwono
This network shows the impact of papers produced by Mitchell Yuwono. 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 Mitchell Yuwono. The network helps show where Mitchell Yuwono may publish in the future.
Co-authors
The 21 scholars most cited alongside Mitchell Yuwono, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 134 | |
| 2 | 2012 | 77 | |
| 3 | 2015 | 77 | |
| 4 | 2015 | 54 | |
| 5 | 2013 | 39 | |
| 6 | 2020 | 36 | |
| 7 | 2015 | 34 | |
| 8 | 2013 | 31 | |
| 9 | 2017 | 26 | |
| 10 | 2015 | 19 | |
| 11 | 2012 | 15 | |
| 12 | 2012 | 14 | |
| 13 | 2011 | 13 | |
| 14 | 2016 | 12 | |
| 15 | 2014 | 12 | |
| 16 | 2012 | 10 | |
| 17 | 2011 | 8 | |
| 18 | 2013 | 6 | |
| 19 | 2012 | 5 | |
| 20 | 2012 | 4 |
About Mitchell Yuwono
Mitchell Yuwono is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Control and Systems Engineering and Cognitive Neuroscience, having authored 23 papers that have together received 637 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (5 papers), Face and Expression Recognition (4 papers), EEG and Brain-Computer Interfaces (4 papers), Gait Recognition and Analysis (4 papers), Emotion and Mood Recognition (4 papers), Fault Detection and Control Systems (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (160 citations), Cognitive Neuroscience (180 citations), Physical Therapy, Sports Therapy and Rehabilitation (35 citations), Human-Computer Interaction (37 citations) and Control and Systems Engineering (122 citations). Mitchell Yuwono has collaborated with scholars based in Australia, China and Pakistan. Frequent co-authors include Steven W. Su, Hung T. Nguyen, Bruce Moulton, Henry Candra, Rifai Chai, Ying Guo, A. M. Ardi Handojoseno, Branko G. Celler, Irraivan Elamvazuthi and Yong Qin. Their work appears in journals such as Applied Soft Computing, Sensors and Actuators B Chemical, Engineering Applications of Artificial Intelligence, BioMedical Engineering OnLine and IEEE Transactions on Evolutionary Computation.
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.