Akio Shio
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Artificial Intelligence
- Human-Computer Interaction
- Signal Processing
- Co-authors
- Jun OhyaShigeru AkamatsuJack SklanskySakuichi OhtsukaYasuhiro AokiAkira SuzukiKenichiro IshiiYasuko Takahashi
- Topics
- Handwritten Text Recognition Techniques (7 papers)Vehicle License Plate Recognition (5 papers)Advanced Vision and Imaging (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEICE Transactions on Information and SystemsElectronics and Communications in Japan (Part III Fundamental Electronic Science)
- Partner nations
- JapanUnited States
In The Last Decade
Akio Shio
17 papers receiving 271 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 272
- Media Technology 63
- Artificial Intelligence 32
- Human-Computer Interaction 19
- Signal Processing 18
Countries citing papers authored by Akio Shio
This map shows the geographic impact of Akio Shio'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 Akio Shio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akio Shio more than expected).
Fields of papers citing papers by Akio Shio
This network shows the impact of papers produced by Akio Shio. 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 Akio Shio. The network helps show where Akio Shio may publish in the future.
Co-authorship network of co-authors of Akio Shio
This figure shows the co-authorship network connecting the top 25 collaborators of Akio Shio. A scholar is included among the top collaborators of Akio Shio 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 Akio Shio. Akio Shio 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 | 4 | |
| 3 | 2 | |
| 4 | GENERATING NEW SAMPLES FROM HANDWRITTEN NUMERALS BASED ON POINT CORRESPONDENCE | 26 |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 50 | |
| 9 | 18 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 29 | |
| 13 | 8 | |
| 14 | 141 | |
| 15 | 2 | |
| 16 | Morphology Based Thresholding for Character Extraction (Special Section on Machine Vision Applications) | 4 |
| 17 | 3 |
About Akio Shio
Akio Shio is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Geology, having authored 17 papers that have together received 303 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (7 papers), Vehicle License Plate Recognition (5 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (272 citations), Media Technology (63 citations) and Human-Computer Interaction (19 citations). Akio Shio has collaborated with scholars based in Japan and United States. Frequent co-authors include Jun Ohya, Shigeru Akamatsu, Jack Sklansky, Sakuichi Ohtsuka, Yasuhiro Aoki, Akira Suzuki, Kenichiro Ishii, Akira Suzuki, Yasuko Takahashi and Tadashi Nakanishi. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEICE Transactions on Information and Systems and Electronics and Communications in Japan (Part III Fundamental Electronic Science).
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.