Keiko Ono

767 total citations
32 papers, 82 citations indexed

About

Keiko Ono is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Keiko Ono has authored 32 papers receiving a total of 82 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Keiko Ono's work include Metaheuristic Optimization Algorithms Research (12 papers), Evolutionary Algorithms and Applications (11 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Keiko Ono is often cited by papers focused on Metaheuristic Optimization Algorithms Research (12 papers), Evolutionary Algorithms and Applications (11 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Keiko Ono collaborates with scholars based in Japan and Greece. Keiko Ono's co-authors include Mitsunori Miki, Tomoyuki Hiroyasu, Masahiro Kimura, Takayuki Kamei, Masahiro Kimura, Satoshi Iwabuchi, Panagiotis Adamidis, Mitsuji Muneyasu, Shunsuke Fukushima and Masayoshi Takeda and has published in prestigious journals such as IEEE Access, Sensors and Applied Sciences.

In The Last Decade

Keiko Ono

24 papers receiving 77 citations

Peers

Keiko Ono
Noboru Wakami United Kingdom
Fabian B. Fuchs Germany
Jiacheng Sun China
Hado P. van Hasselt United States
Stefan Depeweg Germany
Yinchong Yang Germany
Vitorino Ramos Portugal
V. D. Elvira United States
Tamara Mchedlidze Germany
Hadi Daneshmand Switzerland
Noboru Wakami United Kingdom
Keiko Ono
Citations per year, relative to Keiko Ono Keiko Ono (= 1×) peers Noboru Wakami

Countries citing papers authored by Keiko Ono

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Ono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Ono

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

All Works

20 of 20 papers shown
1.
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Ono, Keiko, et al.. (2024). Attention-Based PSO-LSTM for Emotion Estimation Using EEG. Sensors. 24(24). 8174–8174. 2 indexed citations
3.
Ono, Keiko, et al.. (2024). Data-Efficient Bone Segmentation Using Feature Pyramid- Based SegFormer. Sensors. 25(1). 81–81.
4.
Ono, Keiko, et al.. (2023). U-Net-Based Semi-Automatic Semantic Segmentation Using Adaptive Differential Evolution. Applied Sciences. 13(19). 10798–10798. 1 indexed citations
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Ono, Keiko, et al.. (2022). Multi-Scale Feature Fusion for Interior Style Detection. Applied Sciences. 12(19). 9761–9761. 2 indexed citations
7.
Ono, Keiko, et al.. (2021). Self-Organized Subpopulation Based on Multiple Features in Genetic Programming on GPU. Journal of Advanced Computational Intelligence and Intelligent Informatics. 25(2). 177–186. 1 indexed citations
8.
Ono, Keiko, et al.. (2021). Differential Evolution Neural Network Optimization with Individual Dependent Mechanism. 10. 2523–2530. 2 indexed citations
9.
Ono, Keiko, et al.. (2018). Enhancing Island Model Genetic Programming by Controlling Frequent Trees. Journal of Artificial Intelligence and Soft Computing Research. 9(1). 51–65. 6 indexed citations
10.
Ono, Keiko, et al.. (2017). Empirical Analysis of Volatility Forecasting Model based on Genetic Programming. 74–77. 1 indexed citations
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Ono, Keiko, et al.. (2014). Assembling bloat control strategies in genetic programming for image noise reduction. 33. 113–118. 1 indexed citations
13.
Ono, Keiko, et al.. (2013). Genetic Programming for Lighting Control Using Frequent Trees and Depth Information. IEEJ Transactions on Electronics Information and Systems. 133(11). 2044–2052. 2 indexed citations
14.
Ono, Keiko, et al.. (2013). Island model genetic programming based on frequent trees. 2988–2995. 9 indexed citations
15.
Ono, Keiko, et al.. (2012). Development of an intelligent lighting system using LED ceiling lights into an actual office. Electronics and Communications in Japan. 95(10). 54–63. 3 indexed citations
16.
Ono, Keiko, et al.. (2011). Development of the Intelligent Lighting System using LED Ceiling Lights into an Actual Office. IEEJ Transactions on Fundamentals and Materials. 131(5). 321–327.
17.
Ono, Keiko, et al.. (2010). Autonomous Distributed Optimization Algorithm for Intelligent Lighting System. IEEJ Transactions on Electronics Information and Systems. 130(5). 750–757. 5 indexed citations
18.
Ono, Keiko, et al.. (2004). A STUDY OF PARATRANSIT PUBLIC TRANSPORTATION SYSTEM IN A REGIONAL CORE CITY OF DEVELOPING COUNTRY : A case study of Songtaew in Khonkaen, Thailand. Journal of Architecture and Planning (Transactions of AIJ). 69(580). 125–131.
19.
Miki, Mitsunori, et al.. (2002). Temperature parallel simulated annealing with adaptive neighborhood for continuous optimization problem. 149–154. 5 indexed citations
20.
Miki, Mitsunori, Tomoyuki Hiroyasu, & Keiko Ono. (2002). Simulated annealing with advanced adaptive neighborhood. 113–118. 20 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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