Yu Setoguchi

1.3k total citations · 1 hit paper
9 papers, 923 citations indexed

About

Yu Setoguchi is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Yu Setoguchi has authored 9 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 8 papers in Artificial Intelligence and 1 paper in Control and Systems Engineering. Recurrent topics in Yu Setoguchi's work include Advanced Multi-Objective Optimization Algorithms (9 papers), Evolutionary Algorithms and Applications (8 papers) and Metaheuristic Optimization Algorithms Research (8 papers). Yu Setoguchi is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (9 papers), Evolutionary Algorithms and Applications (8 papers) and Metaheuristic Optimization Algorithms Research (8 papers). Yu Setoguchi collaborates with scholars based in Japan, China and Germany. Yu Setoguchi's co-authors include Hisao Ishibuchi, Yusuke Nojima, Ryo Imada, Hiroyuki Masuda, Yuki Tanigaki, Markus Olhofer, Kaname Narukawa and Bernhard Sendhoff and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, Soft Computing and Evolutionary Computation.

In The Last Decade

Yu Setoguchi

9 papers receiving 906 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Performance of Decomposition-Based Many-Objective Algorithms Strongly Depends on Pareto Front Shapes

2016 410 citations Hisao Ishibuchi, Yu Setoguchi et al. IEEE Transactions on Evolutionary Computation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu Setoguchi Japan	8	703	613	183	82	70	9	923
Adriana Lara Mexico	11	660 0.9×	573 0.9×	112 0.6×	106 1.3×	73 1.0×	28	854
Saúl Zapotecas–Martínez Mexico	16	611 0.9×	551 0.9×	118 0.6×	83 1.0×	77 1.1×	52	827
Dan Guo China	5	540 0.8×	527 0.9×	131 0.7×	52 0.6×	36 0.5×	8	781
Gregorio Toscano‐Pulido Mexico	14	508 0.7×	428 0.7×	92 0.5×	57 0.7×	36 0.5×	41	718
Noritaka Tsukamoto Japan	14	1.1k 1.6×	1.0k 1.7×	289 1.6×	135 1.6×	101 1.4×	24	1.5k
Songbai Liu China	16	772 1.1×	756 1.2×	110 0.6×	105 1.3×	75 1.1×	42	1.1k
Qiqi Liu China	14	438 0.6×	443 0.7×	116 0.6×	58 0.7×	53 0.8×	30	779
Qingling Zhu China	12	597 0.8×	598 1.0×	89 0.5×	96 1.2×	73 1.0×	28	893
Ryo Imada Japan	7	311 0.4×	265 0.4×	85 0.5×	44 0.5×	36 0.5×	7	487

Countries citing papers authored by Yu Setoguchi

Since Specialization

Citations

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

Fields of papers citing papers by Yu Setoguchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Setoguchi

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

All Works

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9 of 9 papers shown

1.

Ishibuchi, Hisao, Ryo Imada, Yu Setoguchi, & Yusuke Nojima. (2018). Reference Point Specification in Inverted Generational Distance for Triangular Linear Pareto Front. IEEE Transactions on Evolutionary Computation. 22(6). 961–975. 112 indexed citations

2.

Ishibuchi, Hisao, Ryo Imada, Yu Setoguchi, & Yusuke Nojima. (2018). How to Specify a Reference Point in Hypervolume Calculation for Fair Performance Comparison. Evolutionary Computation. 26(3). 411–440. 148 indexed citations

3.

Ishibuchi, Hisao, Ryo Imada, Yu Setoguchi, & Yusuke Nojima. (2017). Reference point specification in hypervolume calculation for fair comparison and efficient search. Proceedings of the Genetic and Evolutionary Computation Conference. 585–592. 70 indexed citations

4.

Ishibuchi, Hisao, Ryo Imada, Yu Setoguchi, & Yusuke Nojima. (2017). Hypervolume Subset Selection for Triangular and Inverted Triangular Pareto Fronts of Three-Objective Problems. 95–110. 12 indexed citations

5.

Ishibuchi, Hisao, Ryo Imada, Yu Setoguchi, & Yusuke Nojima. (2016). Performance comparison of NSGA-II and NSGA-III on various many-objective test problems. 3045–3052. 129 indexed citations

6.

Ishibuchi, Hisao, Yu Setoguchi, Hiroyuki Masuda, & Yusuke Nojima. (2016). How to compare many-objective algorithms under different settings of population and archive sizes. 1149–1156. 25 indexed citations

7.

Ishibuchi, Hisao, Yu Setoguchi, Hiroyuki Masuda, & Yusuke Nojima. (2016). Performance of Decomposition-Based Many-Objective Algorithms Strongly Depends on Pareto Front Shapes. IEEE Transactions on Evolutionary Computation. 21(2). 169–190. 410 indexed citations breakdown →

8.

Narukawa, Kaname, Yu Setoguchi, Yuki Tanigaki, et al.. (2015). Preference representation using Gaussian functions on a hyperplane in evolutionary multi-objective optimization. Soft Computing. 20(7). 2733–2757. 14 indexed citations

9.

Tanigaki, Yuki, Hiroyuki Masuda, Yu Setoguchi, Yusuke Nojima, & Hisao Ishibuchi. (2015). Algorithm structure optimization by choosing operators in multiobjective genetic local search. 854–861. 3 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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