Yasuji Miyake
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Media Technology top 2%
- Signal Processing
- Human-Computer Interaction top 10%
- Co-authors
- Fumitaka KimuraShinji TsuruokaTetsushi WakabayashiM. ShridharUmapada PalHiroyuki MoritaShigeki YokoiJun‐ichiro Toriwaki
- Topics
- Handwritten Text Recognition Techniques (8 papers)Image Processing and 3D Reconstruction (6 papers)Remote-Sensing Image Classification (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePattern RecognitionMachine Vision and Applications
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Yasuji Miyake
12 papers receiving 589 citations
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 571
- Artificial Intelligence 184
- Media Technology 167
- Signal Processing 28
- Human-Computer Interaction 26
Countries citing papers authored by Yasuji Miyake
This map shows the geographic impact of Yasuji 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 Yasuji Miyake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuji Miyake more than expected).
Fields of papers citing papers by Yasuji Miyake
This network shows the impact of papers produced by Yasuji 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 Yasuji Miyake. The network helps show where Yasuji Miyake may publish in the future.
Co-authorship network of co-authors of Yasuji Miyake
This figure shows the co-authorship network connecting the top 25 collaborators of Yasuji Miyake. A scholar is included among the top collaborators of Yasuji Miyake based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yasuji Miyake. Yasuji Miyake is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 24 | |
| 3 | 100 | |
| 4 | Evaluation and Synthesis of Feature Vectors for Handwritten Numeral Recognition | 7 |
| 5 | 34 | |
| 6 | Accuracy Improvement through Increased Feature Size in Handwritten Numeral Recognition | 11 |
| 7 | A Lexicon Directed Algorithm for Recognition of Unconstrained Handwritten Words (Special Issue on Document Analysis and Recognition) | 24 |
| 8 | Lexicon directed algorithm for recognition of unconstrained handwritten words | 15 |
| 9 | Handwritten Character Recognition Adaptable to the Writer. | 8 |
| 10 | 392 | |
| 11 | 4 | |
| 12 | An Improved Ray Tracing Algorithm for Rendering Transparent Objects (2) | 5 |
About Yasuji Miyake
Yasuji Miyake is a scholar working on Media Technology, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 627 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (8 papers), Image Processing and 3D Reconstruction (6 papers) and Remote-Sensing Image Classification (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (571 citations), Media Technology (167 citations) and Artificial Intelligence (184 citations). Yasuji Miyake has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Fumitaka Kimura, Shinji Tsuruoka, Tetsushi Wakabayashi, M. Shridhar, Umapada Pal, Hiroyuki Morita, Shigeki Yokoi, Jun‐ichiro Toriwaki, Shuji Nishikawa and Takami Yasuda. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Machine Vision and Applications.
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.