Yukihiro Hamasuna
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research
- Signal Processing
- Information Systems
- Topics
- Advanced Clustering Algorithms Research (43 papers)Face and Expression Recognition (25 papers)Multi-Criteria Decision Making (12 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceManagement Science and Operations Research
- Journals
- Soft ComputingJournal of Ambient Intelligence and Humanized ComputingJournal of Advanced Computational Intelligence and Intelligent Informatics
- Partner nations
- JapanAustriaUnited States
In The Last Decade
Yukihiro Hamasuna
44 papers receiving 183 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 176
- Computer Vision and Pattern Recognition 115
- Management Science and Operations Research 38
- Signal Processing 25
- Information Systems 23
Countries citing papers authored by Yukihiro Hamasuna
This map shows the geographic impact of Yukihiro Hamasuna'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 Yukihiro Hamasuna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukihiro Hamasuna more than expected).
Fields of papers citing papers by Yukihiro Hamasuna
This network shows the impact of papers produced by Yukihiro Hamasuna. 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 Yukihiro Hamasuna. The network helps show where Yukihiro Hamasuna may publish in the future.
Co-authorship network of co-authors of Yukihiro Hamasuna
This figure shows the co-authorship network connecting the top 25 collaborators of Yukihiro Hamasuna. A scholar is included among the top collaborators of Yukihiro Hamasuna 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 Yukihiro Hamasuna. Yukihiro Hamasuna 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 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 2 | |
| 15 | On Tolerant Fuzzy c-Means Clustering with L1-Regularization | 2 |
| 16 | 9 | |
| 17 | 9 | |
| 18 | 2 | |
| 19 | 9 | |
| 20 | 3 |
About Yukihiro Hamasuna
Yukihiro Hamasuna is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 53 papers that have together received 228 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (43 papers), Face and Expression Recognition (25 papers) and Multi-Criteria Decision Making (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (115 citations), Artificial Intelligence (176 citations) and Management Science and Operations Research (38 citations). Yukihiro Hamasuna has collaborated with scholars based in Japan, Austria and United States. Frequent co-authors include Yasunori Endo, Sadaaki Miyamoto, Yasushi Hasegawa, Ryo Ozaki, Ryosuke Abe and Yuchi Kanzawa. Their work appears in journals such as Soft Computing, Journal of Ambient Intelligence and Humanized Computing and Journal of Advanced Computational Intelligence and Intelligent Informatics.
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.