Sei Miyake
Impact in
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- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Handwritten Text Recognition Techniques
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
Papers in
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- Neural Networks and Applications 8
- Natural Language Processing Techniques 1
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- Visual perception and processing mechanisms 2
- Neural dynamics and brain function 2
- Co-authors
- Kunihiko Fukushima (4 shared papers)Takayuki Ito (1 shared paper)Shigeki Nakauchi (2 shared papers)Takayuki Itō (1 shared paper)Shiro Usui (1 shared paper)H. Aso (1 shared paper)Soichirou Satoh (1 shared paper)Mitsuo Kawato (1 shared paper)
- Journals
- Biological Cybernetics (2 papers)Pattern Recognition (1 paper)Concurrency Practice and Experience (1 paper)IEEE Transactions on Systems Man and Cybernetics (1 paper)The Journal of the Institute of Television Engineers of Japan (1 paper)
- Partner nations
- Japan
In The Last Decade
Sei Miyake
8 papers receiving 497 citations
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 198
- Artificial Intelligence 302
- Media Technology 50
- Signal Processing 54
- Cognitive Neuroscience 86
Countries citing papers authored by Sei Miyake
This map shows the geographic impact of Sei Miyake'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 Sei Miyake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sei Miyake more than expected).
Fields of papers citing papers by Sei Miyake
This network shows the impact of papers produced by Sei Miyake. 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 Sei Miyake. The network helps show where Sei Miyake may publish in the future.
Co-authors
The 9 scholars most cited alongside Sei Miyake, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1983 | 470 | |
| 2 | 1990 | 26 | |
| 3 | 1984 | 17 | |
| 4 | 1982 | 9 | |
| 5 | Recognition of rotated patterns using a neocognitron | 1999 | 5 |
| 6 | 1994 | 5 | |
| 7 | 1990 | 5 | |
| 8 | 1988 | 2 | |
| 9 | Capabilities of three-layered perceptrons. | 1988 | 0 |
| 10 | 2003 | 0 |
About Sei Miyake
Sei Miyake is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Social Psychology, having authored 10 papers that have together received 539 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Visual perception and processing mechanisms (2 papers), Neural dynamics and brain function (2 papers), Color Science and Applications (2 papers), Natural Language Processing Techniques (1 paper), Handwritten Text Recognition Techniques (1 paper), Image Enhancement Techniques (1 paper) and Advanced Memory and Neural Computing (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (198 citations), Artificial Intelligence (302 citations), Media Technology (50 citations), Signal Processing (54 citations) and Cognitive Neuroscience (86 citations). Sei Miyake has collaborated with scholars based in Japan. Frequent co-authors include Kunihiko Fukushima, Takayuki Ito, Shigeki Nakauchi, Takayuki Itō, Shiro Usui, H. Aso, Soichirou Satoh, Mitsuo Kawato and S. Usui. Their work appears in journals such as Biological Cybernetics, Pattern Recognition, Concurrency Practice and Experience, IEEE Transactions on Systems Man and Cybernetics and The Journal of the Institute of Television Engineers of Japan.
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.