Setsuko Sakai

1.7k total citations
44 papers, 1.0k citations indexed

About

Setsuko Sakai is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Setsuko Sakai has authored 44 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 32 papers in Computational Theory and Mathematics and 4 papers in Control and Systems Engineering. Recurrent topics in Setsuko Sakai's work include Metaheuristic Optimization Algorithms Research (34 papers), Advanced Multi-Objective Optimization Algorithms (30 papers) and Evolutionary Algorithms and Applications (30 papers). Setsuko Sakai is often cited by papers focused on Metaheuristic Optimization Algorithms Research (34 papers), Advanced Multi-Objective Optimization Algorithms (30 papers) and Evolutionary Algorithms and Applications (30 papers). Setsuko Sakai collaborates with scholars based in Japan. Setsuko Sakai's co-authors include Tetsuyuki Takahama, Masao Nakamura, Hisakazu Ogura, Akira Hara, Takumi Ichimura and Masahiro Ueda and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, Optics and Lasers in Engineering and Journal of Advanced Computational Intelligence and Intelligent Informatics.

In The Last Decade

Setsuko Sakai

37 papers receiving 971 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Setsuko Sakai Japan 13 821 741 86 78 71 44 1.0k
Tetsuyuki Takahama Japan 14 950 1.2× 793 1.1× 103 1.2× 80 1.0× 88 1.2× 82 1.2k
Susana Cecilia Esquivel Argentina 15 550 0.7× 413 0.6× 109 1.3× 142 1.8× 134 1.9× 46 878
Shigeyoshi Tsutsui Japan 13 609 0.7× 386 0.5× 73 0.8× 53 0.7× 105 1.5× 35 855
Adriana Lara Mexico 11 573 0.7× 660 0.9× 106 1.2× 42 0.5× 62 0.9× 28 854
Ali Khater Mohamed Egypt 9 690 0.8× 371 0.5× 99 1.2× 135 1.7× 62 0.9× 12 940
Ruwang Jiao China 14 521 0.6× 486 0.7× 81 0.9× 67 0.9× 52 0.7× 24 723
Ernesto Mininno Finland 15 842 1.0× 533 0.7× 174 2.0× 170 2.2× 43 0.6× 32 1.1k
Keith E. Mathias United States 13 730 0.9× 448 0.6× 68 0.8× 48 0.6× 195 2.7× 22 1.1k
Jason G. Digalakis Greece 6 430 0.5× 242 0.3× 60 0.7× 54 0.7× 49 0.7× 6 567
Dudy Lim Singapore 9 536 0.7× 555 0.7× 45 0.5× 33 0.4× 54 0.8× 10 814

Countries citing papers authored by Setsuko Sakai

Since Specialization
Citations

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

Fields of papers citing papers by Setsuko Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Setsuko Sakai

This figure shows the co-authorship network connecting the top 25 collaborators of Setsuko Sakai. A scholar is included among the top collaborators of Setsuko Sakai 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 Setsuko Sakai. Setsuko Sakai 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.
Takahama, Tetsuyuki & Setsuko Sakai. (2020). Adaptive Directional Mutation for an Adaptive Differential Evolution Algorithm. 1–7.
2.
Takahama, Tetsuyuki & Setsuko Sakai. (2019). An Equivalent Penalty Coefficient Method: An Adaptive Penalty Approach for Population-Based Constrained Optimization. 5. 1620–1627. 1 indexed citations
3.
Takahama, Tetsuyuki & Setsuko Sakai. (2014). Selecting Strategies in Particle Swarm Optimization by Sampling-Based Landscape Modality Detection. 2014(8). 1–4. 1 indexed citations
4.
5.
Takahama, Tetsuyuki & Setsuko Sakai. (2012). Differential Evolution with Graph-Based Speciation by Competitive Hebbian Rules. 11. 445–448. 1 indexed citations
6.
Takahama, Tetsuyuki & Setsuko Sakai. (2012). Large scale optimization by differential evolution with landscape modality detection and a diversity archive. 1–8. 27 indexed citations
7.
Takahama, Tetsuyuki & Setsuko Sakai. (2012). Efficient Constrained Optimization by the ε Constrained Rank-Based Differential Evolution. 1–8. 40 indexed citations
8.
9.
10.
Takahama, Tetsuyuki & Setsuko Sakai. (2009). Efficient Constrained Optimization by the .EPSILON. Constrained Differential Evolution Using an Approximation Model with Low Accuracy. Transactions of the Japanese Society for Artificial Intelligence. 24(1). 34–45. 2 indexed citations
11.
Takahama, Tetsuyuki & Setsuko Sakai. (2008). Efficient Optimization by Differential Evolution using Rough Approximation Model with Adaptive Control of Error Margin. 2008. 1238–1238. 1 indexed citations
12.
13.
Takahama, Tetsuyuki & Setsuko Sakai. (2005). Constrained Optimization by the α Constrained Particle Swarm Optimizer. Journal of Advanced Computational Intelligence and Intelligent Informatics. 9(3). 282–289. 9 indexed citations
14.
Takahama, Tetsuyuki, et al.. (2004). Structural learning of RBF-fuzzy rule bases based on information criteria and degeneration. 3. 2581–2586. 1 indexed citations
15.
Takahama, Tetsuyuki & Setsuko Sakai. (2004). Structural optimization of neural network by genetic algorithm with damaged genes. j84 d i. 1211–1215. 2 indexed citations
16.
Takahama, Tetsuyuki, et al.. (2004). Structural optimization by genetic algorithm with degeneration (GAd). Systems and Computers in Japan. 35(5). 32–43. 1 indexed citations
17.
Takahama, Tetsuyuki & Setsuko Sakai. (2003). An optimization algorithm "Team Model". 3. 563–568.
18.
Takahama, Tetsuyuki, et al.. (2002). MGGA: Genetic algorithm with mutant genes. Systems and Computers in Japan. 33(14). 23–33. 4 indexed citations
19.
Takahama, Tetsuyuki & Setsuko Sakai. (2000). Tuning fuzzy control rules by the ? constrained method which solves constrained nonlinear optimization problems. Electronics and Communications in Japan (Part III Fundamental Electronic Science). 83(9). 1–12. 28 indexed citations
20.
Takahama, Tetsuyuki & Setsuko Sakai. (1999). Learning fuzzy control rules by a constrained Powell's method. j82 a. 650–655 vol.2. 6 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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