Yusuke Nojima

11.4k total citations · 2 hit papers
283 papers, 7.4k citations indexed

About

Yusuke Nojima is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Yusuke Nojima has authored 283 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 203 papers in Artificial Intelligence, 119 papers in Computational Theory and Mathematics and 24 papers in Management Science and Operations Research. Recurrent topics in Yusuke Nojima's work include Evolutionary Algorithms and Applications (136 papers), Metaheuristic Optimization Algorithms Research (133 papers) and Advanced Multi-Objective Optimization Algorithms (109 papers). Yusuke Nojima is often cited by papers focused on Evolutionary Algorithms and Applications (136 papers), Metaheuristic Optimization Algorithms Research (133 papers) and Advanced Multi-Objective Optimization Algorithms (109 papers). Yusuke Nojima collaborates with scholars based in Japan, China and United States. Yusuke Nojima's co-authors include Hisao Ishibuchi, Noritaka Tsukamoto, Yu Setoguchi, Hiroyuki Masuda, Ryo Imada, Naoya Akedo, Chikao Morimoto, Naoki Masuyama, Yuji Sakane and Yiping Liu and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Yusuke Nojima

266 papers receiving 7.3k citations

Hit Papers

Evolutionary many-objective optimization: A short review 2008 2026 2014 2020 2008 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yusuke Nojima Japan 43 4.2k 3.5k 927 728 645 283 7.4k
Gianluca Bontempi Belgium 48 2.7k 0.6× 343 0.1× 618 0.7× 736 1.0× 67 0.1× 207 12.0k
Cheng He China 32 2.0k 0.5× 1.8k 0.5× 345 0.4× 116 0.2× 13 0.0× 193 5.4k
Zhong Ming China 52 2.7k 0.6× 902 0.3× 392 0.4× 110 0.2× 9 0.0× 344 9.1k
Ka‐Chun Wong Hong Kong 36 1.5k 0.4× 1.1k 0.3× 122 0.1× 67 0.1× 24 0.0× 220 4.1k
Alexander Zien Germany 25 2.8k 0.7× 198 0.1× 88 0.1× 109 0.1× 132 0.2× 64 6.1k
Qiang Shen United Kingdom 43 5.0k 1.2× 3.4k 1.0× 1.4k 1.5× 37 0.1× 7 0.0× 387 10.5k
Mingjing Wang China 47 5.9k 1.4× 2.0k 0.6× 274 0.3× 61 0.1× 5 0.0× 121 10.1k
Andrea Lodi Italy 39 801 0.2× 996 0.3× 716 0.8× 48 0.1× 55 0.1× 244 7.7k
Dimitrios Georgakopoulos Australia 47 1.6k 0.4× 124 0.0× 234 0.3× 300 0.4× 30 0.0× 209 10.6k
Jianyong Chen China 47 1.3k 0.3× 611 0.2× 91 0.1× 176 0.2× 12 0.0× 256 6.7k

Countries citing papers authored by Yusuke Nojima

Since Specialization
Citations

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

Fields of papers citing papers by Yusuke Nojima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusuke Nojima

This figure shows the co-authorship network connecting the top 25 collaborators of Yusuke Nojima. A scholar is included among the top collaborators of Yusuke Nojima 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 Yusuke Nojima. Yusuke Nojima 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.
Lee, Chang-Shing, Mei‐Hui Wang, Naoyuki Kubota, et al.. (2024). Quantum Computational Intelligence with Generative AI Image for Human-Machine Interaction. 1–8. 3 indexed citations
3.
Masuyama, Naoki, Yusuke Nojima, Yuichiro Toda, et al.. (2024). Privacy-Preserving Continual Federated Clustering via Adaptive Resonance Theory. IEEE Access. 12. 139692–139710. 3 indexed citations
4.
Zhang, Jin, et al.. (2023). Hybrid-ensemble-based interpretable TSK fuzzy classifier for imbalanced data. Information Fusion. 98. 101845–101845. 9 indexed citations
5.
Mellal, Mohamed Arezki, Enrico Zio, Sameer Al‐Dahidi, Naoki Masuyama, & Yusuke Nojima. (2022). System design optimization with mixed subsystems failure dependencies. Reliability Engineering & System Safety. 231. 109005–109005. 13 indexed citations
6.
Fujita, Yushi, Hidenobu Murata, Yusuke Nojima, et al.. (2022). Composition-Designed Multielement Perovskite Oxides for Oxygen Evolution Catalysis. Chemistry of Materials. 34(24). 10973–10981. 21 indexed citations
7.
Lee, Chang-Shing, et al.. (2020). Human Intelligence Meets Smart Machine: A Special Event at the IEEE International Conference on Systems, Man, and Cybernetics 2018. IEEE Systems Man and Cybernetics Magazine. 6(1). 23–31. 6 indexed citations
8.
Liu, Yiping, Hisao Ishibuchi, Gary G. Yen, et al.. (2020). On the Normalization in Evolutionary Multi-Modal Multi-Objective Optimization. 1–8. 15 indexed citations
9.
Nojima, Yusuke, et al.. (2017). An efficient and effective approach for mining a group stock portfolio using mapreduce. Intelligent Data Analysis. 21. S217–S232. 1 indexed citations
10.
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
11.
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
12.
Ishibuchi, Hisao, Noritaka Tsukamoto, & Yusuke Nojima. (2010). Use of non-geometric binary crossover as mutation. World Automation Congress. 1–6. 1 indexed citations
13.
Ishibuchi, Hisao, Yuji Sakane, & Yusuke Nojima. (2010). Use of Multiple Grids with Different Scalarizing Functions in MOEA/D. 2010. 898–903. 1 indexed citations
14.
Nojima, Yusuke & Hisao Ishibuchi. (2009). Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference. European Society for Fuzzy Logic and Technology Conference. 1839–1844. 1 indexed citations
15.
Ishibuchi, Hisao & Yusuke Nojima. (2009). Discussions on Interpretability of Fuzzy Systems using Simple Examples. European Society for Fuzzy Logic and Technology Conference. 1649–1654. 26 indexed citations
16.
Nojima, Yusuke, et al.. (2007). Effects of Problem-Specific Local Search Schemes in a Memetic EMO Algorithm. 한국지능시스템학회 국제학술대회 발표논문집. 402–407. 2 indexed citations
17.
Ishibuchi, Hisao, Yusuke Nojima, & Isao Kuwajima. (2006). Accuracy-Complexity Tradeoff Analysis in Data Mining by Multiobjective Genetic Rule Selection. 2006. 2069–2074. 1 indexed citations
19.
Narukawa, Kaname, Yusuke Nojima, & Hisao Ishibuchi. (2005). Effects of Similarity-Based Mating Scheme on Evolutionary Function Optimization. 한국지능시스템학회 국제학술대회 발표논문집. 735–740. 4 indexed citations
20.
Freedman, Arnold S., Yusuke Nojima, L Eliseo, et al.. (1993). Stimulation of protein tyrosine phosphorylation in human B cells after ligation of the beta 1 integrin VLA-4. The Journal of Immunology. 150(5). 1645–1652. 60 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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