Ryoji Tanabe

3.8k total citations · 2 hit papers
24 papers, 2.7k citations indexed

About

Ryoji Tanabe is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Ryoji Tanabe has authored 24 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 20 papers in Computational Theory and Mathematics and 4 papers in Management Science and Operations Research. Recurrent topics in Ryoji Tanabe's work include Metaheuristic Optimization Algorithms Research (21 papers), Advanced Multi-Objective Optimization Algorithms (20 papers) and Evolutionary Algorithms and Applications (15 papers). Ryoji Tanabe is often cited by papers focused on Metaheuristic Optimization Algorithms Research (21 papers), Advanced Multi-Objective Optimization Algorithms (20 papers) and Evolutionary Algorithms and Applications (15 papers). Ryoji Tanabe collaborates with scholars based in Japan, China and United Kingdom. Ryoji Tanabe's co-authors include Alex Fukunaga, Hisao Ishibuchi, Akira Oyama, Claus Aranha, Ke Li, Ken Kobayashi, Youhei Akimoto and Shinichi Shirakawa and has published in prestigious journals such as IEEE Access, IEEE Transactions on Cybernetics and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Ryoji Tanabe

21 papers receiving 2.6k citations

Hit Papers

Improving the search performance of SHADE using linear po... 2013 2026 2017 2021 2014 2013 250 500 750 1000
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.

  1. Improving the search performance of SHADE using linear population size reduction
    2014 1.1k citations Ryoji Tanabe, Alex Fukunaga profile →
  2. Success-history based parameter adaptation for Differential Evolution
    2013 930 citations Ryoji Tanabe, Alex Fukunaga profile →

Peers

Ryoji Tanabe
Changhe Li China
Chaoli Sun China
Guangming Lin China
Zhijian Wu China
Genghui Li China
Jianyong Chen China
Mohammad Nabi Omidvar Australia
Sanyou Zeng China
Shih-Hsi Liu United States
Saku Kukkonen Finland
Changhe Li China
Ryoji Tanabe
Citations per year, relative to Ryoji Tanabe Ryoji Tanabe (= 1×) peers Changhe Li

Countries citing papers authored by Ryoji Tanabe

Since Specialization
Citations

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

Fields of papers citing papers by Ryoji Tanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryoji Tanabe

This figure shows the co-authorship network connecting the top 25 collaborators of Ryoji Tanabe. A scholar is included among the top collaborators of Ryoji Tanabe 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 Ryoji Tanabe. Ryoji Tanabe 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.
Tanabe, Ryoji, et al.. (2025). Speeding Up Local Search for the Indicator-Based Subset Selection Problem by a Candidate List Strategy. IEEE Transactions on Evolutionary Computation. 30(1). 156–170.
2.
Tanabe, Ryoji. (2024). Benchmarking Parameter Control Methods in Differential Evolution for Mixed-Integer Black-Box Optimization. Proceedings of the Genetic and Evolutionary Computation Conference. 712–721.
3.
Tanabe, Ryoji. (2024). Investigating normalization in preference-based evolutionary multi-objective optimization using a reference point. Applied Soft Computing. 159. 111646–111646. 1 indexed citations
4.
Tanabe, Ryoji & Ke Li. (2023). Quality Indicators for Preference-Based Evolutionary Multiobjective Optimization Using a Reference Point: A Review and Analysis. IEEE Transactions on Evolutionary Computation. 28(6). 1575–1589. 1 indexed citations
5.
Tanabe, Ryoji. (2023). On the Unbounded External Archive and Population Size in Preference-based Evolutionary Multi-objective Optimization Using a Reference Point. Proceedings of the Genetic and Evolutionary Computation Conference. 749–758. 1 indexed citations
6.
7.
Tanabe, Ryoji, et al.. (2022). A two-phase framework with a bézier simplex-based interpolation method for computationally expensive multi-objective optimization. Proceedings of the Genetic and Evolutionary Computation Conference. 601–610.
8.
Tanabe, Ryoji. (2022). Benchmarking Feature-Based Algorithm Selection Systems for Black-Box Numerical Optimization. IEEE Transactions on Evolutionary Computation. 26(6). 1321–1335. 8 indexed citations
9.
Tanabe, Ryoji. (2020). Analyzing adaptive parameter landscapes in parameter adaptation methods for differential evolution. arXiv (Cornell University). 645–653. 2 indexed citations
10.
Tanabe, Ryoji & Hisao Ishibuchi. (2020). An easy-to-use real-world multi-objective optimization problem suite. Applied Soft Computing. 89. 106078–106078. 180 indexed citations
11.
Tanabe, Ryoji & Alex Fukunaga. (2019). Reviewing and Benchmarking Parameter Control Methods in Differential Evolution. IEEE Transactions on Cybernetics. 50(3). 1170–1184. 58 indexed citations
12.
Tanabe, Ryoji & Hisao Ishibuchi. (2019). A niching indicator-based multi-modal many-objective optimizer. Swarm and Evolutionary Computation. 49. 134–146. 66 indexed citations
13.
Tanabe, Ryoji & Akira Oyama. (2017). A note on constrained multi-objective optimization benchmark problems. 1127–1134. 30 indexed citations
14.
Tanabe, Ryoji & Akira Oyama. (2017). Benchmarking MOEAs for multi- and many-objective optimization using an unbounded external archive. Proceedings of the Genetic and Evolutionary Computation Conference. 633–640. 12 indexed citations
15.
16.
Tanabe, Ryoji & Alex Fukunaga. (2015). Tuning differential evolution for cheap, medium, and expensive computational budgets. 2018–2025. 23 indexed citations
17.
Tanabe, Ryoji & Alex Fukunaga. (2014). On the pathological behavior of adaptive differential evolution on hybrid objective functions. 1335–1342. 3 indexed citations
18.
Tanabe, Ryoji & Alex Fukunaga. (2014). Improving the search performance of SHADE using linear population size reduction. 1658–1665. 1101 indexed citations breakdown →
19.
Tanabe, Ryoji & Alex Fukunaga. (2013). Evaluation of a randomized parameter setting strategy for island-model evolutionary algorithms. 174. 1263–1270. 4 indexed citations
20.
Tanabe, Ryoji & Alex Fukunaga. (2013). Evaluating the performance of SHADE on CEC 2013 benchmark problems. 1952–1959. 141 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Changhe Li Breakdown of academic impact, for papers by Chaoli Sun Breakdown of academic impact, for papers by Guangming Lin Breakdown of academic impact, for papers by Zhijian Wu Breakdown of academic impact, for papers by Genghui Li Breakdown of academic impact, for papers by Jianyong Chen Breakdown of academic impact, for papers by Mohammad Nabi Omidvar Breakdown of academic impact, for papers by Sanyou Zeng Breakdown of academic impact, for papers by Shih-Hsi Liu Breakdown of academic impact, for papers by Saku Kukkonen
Rankless by CCL
2026