Keiichiro Yasuda
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 1%
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Kenichi TamuraNoriko IwasakiAtsushi IshigameR. YokoyamaSatoshi KITAYAMAEitaro AiyoshiTakao WatanabeB. Kermanshahi
- Topics
- Metaheuristic Optimization Algorithms Research (113 papers)Advanced Multi-Objective Optimization Algorithms (71 papers)Evolutionary Algorithms and Applications (38 papers)
In The Last Decade
Keiichiro Yasuda
169 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 730
- Computational Theory and Mathematics 381
- Electrical and Electronic Engineering 352
- Control and Systems Engineering 304
- Industrial and Manufacturing Engineering 145
Countries citing papers authored by Keiichiro Yasuda
This map shows the geographic impact of Keiichiro Yasuda'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 Keiichiro Yasuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiichiro Yasuda more than expected).
Fields of papers citing papers by Keiichiro Yasuda
This network shows the impact of papers produced by Keiichiro Yasuda. 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 Keiichiro Yasuda. The network helps show where Keiichiro Yasuda may publish in the future.
Co-authorship network of co-authors of Keiichiro Yasuda
This figure shows the co-authorship network connecting the top 25 collaborators of Keiichiro Yasuda. A scholar is included among the top collaborators of Keiichiro Yasuda 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 Keiichiro Yasuda. Keiichiro Yasuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 37 | |
| 6 | 1 | |
| 7 | 89 | |
| 8 | Adaptive state feedback control for descriptor systems | 3 |
| 9 | Particle swarm optimization based integrative optimal design method for surface motor with multi-degree of freedom | 0 |
| 10 | Cluster-structured Particle Swarm Optimization with interaction | 3 |
| 11 | 0 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 7 | |
| 18 | 0 | |
| 19 | 1 | |
| 20 | Fuzzy dynamic load dispatching | 2 |
About Keiichiro Yasuda
Keiichiro Yasuda is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Artificial Intelligence, having authored 191 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (113 papers), Advanced Multi-Objective Optimization Algorithms (71 papers) and Evolutionary Algorithms and Applications (38 papers). The work is most often cited by research in Computational Theory and Mathematics (381 citations), Artificial Intelligence (730 citations) and Numerical Analysis (90 citations). Keiichiro Yasuda has collaborated with scholars based in Japan and France. Frequent co-authors include Kenichi Tamura, Noriko Iwasaki, Atsushi Ishigame, R. Yokoyama, Satoshi KITAYAMA, Eitaro Aiyoshi, Takao Watanabe, B. Kermanshahi, Yichao Wu and Ryuichi Yokoyama. Their work appears in journals such as IEEE Transactions on Power Systems, Talanta and International Journal of Electrical Power & Energy Systems.
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.