Youhei Akimoto

2.2k total citations
98 papers, 1.3k citations indexed

About

Youhei Akimoto is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Youhei Akimoto has authored 98 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 16 papers in Signal Processing. Recurrent topics in Youhei Akimoto's work include Metaheuristic Optimization Algorithms Research (29 papers), Evolutionary Algorithms and Applications (15 papers) and Blind Source Separation Techniques (13 papers). Youhei Akimoto is often cited by papers focused on Metaheuristic Optimization Algorithms Research (29 papers), Evolutionary Algorithms and Applications (15 papers) and Blind Source Separation Techniques (13 papers). Youhei Akimoto collaborates with scholars based in Japan, France and Germany. Youhei Akimoto's co-authors include Garuda FUJII, Atsuo Maki, Masayuki Takahashi, Naoya Umeda, Shigenobu Kobayashi, Nikolaus Hansen, Naoki Sakamoto, Yuichi Nagata, Isao Ono and Jun Sakuma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Youhei Akimoto

92 papers receiving 1.2k citations

Peers

Youhei Akimoto

CSE

EOMM

Shiyou Yang China

R. Escarela-Pérez Mexico

Riccardo E. Zich Italy

Yuehua Huang China

Mohammad Mehdi Arefi Iran

A.G. Parlos United States

Chengpu Yu China

Tong Han China

Helon Vicente Hultmann Ayala Brazil

Samrat L. Sabat India

Shiyou Yang China

Youhei Akimoto

362 ×0.9

143 ×0.5

CSE

47 ×0.2

278 ×1.0

EOMM

102 ×0.5

Citations per year, relative to Youhei Akimoto Youhei Akimoto (= 1×) peers Shiyou Yang

Countries citing papers authored by Youhei Akimoto

Since Specialization

Citations

This map shows the geographic impact of Youhei Akimoto'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 Youhei Akimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youhei Akimoto more than expected).

Fields of papers citing papers by Youhei Akimoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Youhei Akimoto. 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 Youhei Akimoto. The network helps show where Youhei Akimoto may publish in the future.

Co-authorship network of co-authors of Youhei Akimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Youhei Akimoto. A scholar is included among the top collaborators of Youhei Akimoto 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 Youhei Akimoto. Youhei Akimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sekiguchi, Takeshi, et al.. (2025). Conceptual design on the field of view of celestial navigation systems for maritime autonomous surface ships. Journal of Marine Science and Technology. 30(3). 495–506.

Xu, Kaiwen, et al.. (2023). Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs. 519–526. 1 indexed citations

Hamada, Satoru, et al.. (2023). System identification of porpoising dynamics of high-speed planing craft using full scale trial data. Ocean Engineering. 270. 113585–113585. 3 indexed citations

Sakuma, Jun, et al.. (2023). Convergence Rate of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions. IEEE Transactions on Evolutionary Computation. 28(2). 501–515. 2 indexed citations

Maki, Atsuo, et al.. (2023). Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min–Max Optimization and Its Application to Berthing Control Tasks. 3(2). 1–32. 2 indexed citations

Nomura, Masahiro, Youhei Akimoto, & Isao Ono. (2023). CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems?. Proceedings of the Genetic and Evolutionary Computation Conference. 839–847. 4 indexed citations

Shirakawa, Shinichi, et al.. (2023). ATNAS: Automatic Termination for Neural Architecture Search. Neural Networks. 166. 446–458. 4 indexed citations

Akimoto, Youhei, et al.. (2022). Statistically Significant Pattern Mining With Ordinal Utility. IEEE Transactions on Knowledge and Data Engineering. 35(9). 8770–8783. 1 indexed citations

Akimoto, Youhei, et al.. (2022). Domain Generalization via Adversarially Learned Novel Domains. IEEE Access. 10. 101855–101868. 4 indexed citations

10.

Sakuma, Jun, et al.. (2021). Convergence rate of the (1+1)-evolution strategy with success-based step-size adaptation on convex quadratic functions. Proceedings of the Genetic and Evolutionary Computation Conference. 6 indexed citations

11.

Nomura, Masahiro, et al.. (2021). Warm Starting CMA-ES for Hyperparameter Optimization. Proceedings of the AAAI Conference on Artificial Intelligence. 35(10). 9188–9196. 15 indexed citations

12.

Maki, Atsuo, et al.. (2020). On broaching-to prevention using optimal control theory with evolution strategy (CMA-ES). Journal of Marine Science and Technology. 26(1). 71–87. 9 indexed citations

13.

FUJII, Garuda & Youhei Akimoto. (2020). dc electric cloak concentrator via topology optimization. Physical review. E. 102(3). 33308–33308. 15 indexed citations

14.

Akimoto, Youhei, et al.. (2019). Well placement optimization under geological statistical uncertainty. Proceedings of the Genetic and Evolutionary Computation Conference. 1284–1292. 5 indexed citations

15.

Akimoto, Youhei, et al.. (2019). Generalized drift analysis in continuous domain. 13–24. 13 indexed citations

16.

Hansen, Nikolaus, et al.. (2019). CMA-ES/pycma: r2.7.0. Zenodo (CERN European Organization for Nuclear Research). 5 indexed citations

17.

Akimoto, Youhei, Anne Auger, & Nikolaus Hansen. (2018). Quality gain analysis of the weighted recombination evolution strategy on general convex quadratic functions. Theoretical Computer Science. 832. 42–67. 15 indexed citations

18.

Akimoto, Youhei, et al.. (2017). Effect of the mean vector learning rate in CMA-ES. Proceedings of the Genetic and Evolutionary Computation Conference. 721–728. 1 indexed citations

19.

Akimoto, Youhei, et al.. (2016). Evaluating the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noisy Testbed. 1193–1200. 2 indexed citations

20.

Akimoto, Youhei, et al.. (2015). Analysis of runtime of optimization algorithms for noisy functions over discrete codomains. Theoretical Computer Science. 605. 42–50. 23 indexed citations

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.

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