Yusuke Matsui
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 0.5%
- Artificial Intelligence top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Signal Processing
- Co-authors
- Toshihiko YamasakiToru OgawaKota ItoKiyoharu AizawaJeonghun BaekShin’ichi SatohMasaki SaitoFan Yang
- Topics
- Advanced Image and Video Retrieval Techniques (21 papers)Image Retrieval and Classification Techniques (15 papers)Video Analysis and Summarization (13 papers)
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Partner nations
- JapanChinaUnited States
In The Last Decade
Yusuke Matsui
33 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 1.2k
- Media Technology 626
- Artificial Intelligence 94
- Computer Graphics and Computer-Aided Design 39
- Signal Processing 33
Countries citing papers authored by Yusuke Matsui
This map shows the geographic impact of Yusuke Matsui'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 Yusuke Matsui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusuke Matsui more than expected).
Fields of papers citing papers by Yusuke Matsui
This network shows the impact of papers produced by Yusuke Matsui. 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 Yusuke Matsui. The network helps show where Yusuke Matsui may publish in the future.
Co-authorship network of co-authors of Yusuke Matsui
This figure shows the co-authorship network connecting the top 25 collaborators of Yusuke Matsui. A scholar is included among the top collaborators of Yusuke Matsui 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 Yusuke Matsui. Yusuke Matsui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 55 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 35 | |
| 13 | 0 | |
| 14 | Sketch-based manga retrieval using manga109 datasetbreakdown → | 830 |
| 15 | 5 | |
| 16 | 22 | |
| 17 | 6 | |
| 18 | 2 | |
| 19 | 9 | |
| 20 | 13 |
About Yusuke Matsui
Yusuke Matsui is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (21 papers), Image Retrieval and Classification Techniques (15 papers) and Video Analysis and Summarization (13 papers). The work is most often cited by research in Media Technology (626 citations), Computer Vision and Pattern Recognition (1.2k citations) and Computer Graphics and Computer-Aided Design (39 citations). Yusuke Matsui has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Toshihiko Yamasaki, Toru Ogawa, Kota Ito, Kiyoharu Aizawa, Kiyoharu Aizawa, Jeonghun Baek, Shin’ichi Satoh, Masaki Saito, Fan Yang and Yusuke Uchida. Their work appears in journals such as PLoS ONE, IEEE Access and IEEE Transactions on Visualization and Computer Graphics.
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.