World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
10928
World Ranking
6750
National Ranking
96

Yusuke Nojima publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Yusuke Nojima sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 310 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Yusuke Nojima D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Yusuke Nojima sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Yusuke Nojima is affiliated with Osaka Metropolitan University in Japan and has a research focus within the field of Computer Science. Their work prominently covers various subfields including Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, and Management Science and Operations Research.

The scientist's research topics span a range of areas related to optimization and intelligent systems. These include:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Evolutionary Algorithms and Applications
  • Fuzzy Logic and Control Systems
  • Neural Networks and Applications
  • Face and Expression Recognition
  • Text and Document Classification Technologies

Several recent papers illustrate the diversity and focus of their research efforts. Selected publications include:

  • Distributed Flow Shop Scheduling with Sequence-Dependent Setup Times Using an Improved Iterated Greedy Algorithm, 2021, Complex System Modeling and Simulation
  • A hybrid two-stage financial stock forecasting algorithm based on clustering and ensemble learning, 2020, Applied Intelligence
  • A Multi-Population Multi-Objective Evolutionary Algorithm Based on the Contribution of Decision Variables to Objectives for Large-Scale Multi/Many-Objective Optimization, 2022, IEEE Transactions on Cybernetics
  • Realizing Deep High-Order TSK Fuzzy Classifier by Ensembling Interpretable Zero-Order TSK Fuzzy Subclassifiers, 2020, IEEE Transactions on Fuzzy Systems
  • A Fully Interpretable First-Order TSK Fuzzy System and Its Training With Negative Entropic and Rule-Stability-Based Regularization, 2022, IEEE Transactions on Fuzzy Systems

Their collaborative work includes frequent co-authors such as Naoki Masuyama, Hisao Ishibuchi, Shitong Wang, Yiping Liu, and Ying Xu.

Yusuke Nojima has published multiple studies in key venues, with notable repeat appearances in:

  • Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
  • arXiv (Cornell University)
  • IEEE Transactions on Fuzzy Systems
  • IEEE Access
  • Complex System Modeling and Simulation

Best Publications

  • Evolutionary many-objective optimization: A short review

    H. Ishibuchi;N. Tsukamoto;Y. Nojima

  • Evolutionary many-objective optimization

    H. Ishibuchi;N. Tsukamoto;Y. Nojima

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

    Hisao Ishibuchi;Yu Setoguchi;Hiroyuki Masuda;Yusuke Nojima

  • Modified Distance Calculation in Generational Distance and Inverted Generational Distance

    Hisao Ishibuchi;Hiroyuki Masuda;Yuki Tanigaki;Yusuke Nojima

  • Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning

    Hisao Ishibuchi;Yusuke Nojima

  • A Review of the Application of Multiobjective Evolutionary Fuzzy Systems: Current Status and Further Directions

    M. Fazzolari;R. Alcala;Y. Nojima;H. Ishibuchi

  • A Framework for Large-Scale Multiobjective Optimization Based on Problem Transformation

    Heiner Zille;Hisao Ishibuchi;Sanaz Mostaghim;Yusuke Nojima

  • Behavior of Multiobjective Evolutionary Algorithms on Many-Objective Knapsack Problems

    Hisao Ishibuchi;Naoya Akedo;Yusuke Nojima

  • How to Specify a Reference Point in Hypervolume Calculation for Fair Performance Comparison

    Hisao Ishibuchi;Ryo Imada;Yu Setoguchi;Yusuke Nojima

  • Evolutionary many-objective optimization by NSGA-II and MOEA/D with large populations

    Hisao Ishibuchi;Yuji Sakane;Noritaka Tsukamoto;Yusuke Nojima

  • Performance comparison of NSGA-II and NSGA-III on various many-objective test problems

    Hisao Ishibuchi;Ryo Imada;Yu Setoguchi;Yusuke Nojima

  • Simultaneous use of different scalarizing functions in MOEA/D

    Hisao Ishibuchi;Yuji Sakane;Noritaka Tsukamoto;Yusuke Nojima

  • Adaptation of Scalarizing Functions in MOEA/D: An Adaptive Scalarizing Function-Based Multiobjective Evolutionary Algorithm

    Hisao Ishibuchi;Yuji Sakane;Noritaka Tsukamoto;Yusuke Nojima

  • Reference Point Specification in Inverted Generational Distance for Triangular Linear Pareto Front

    Hisao Ishibuchi;Ryo Imada;Yu Setoguchi;Yusuke Nojima

  • Many-objective test problems to visually examine the behavior of multiobjective evolution in a decision space

    Hisao Ishibuchi;Yasuhiro Hitotsuyanagi;Noritaka Tsukamoto;Yusuke Nojima

  • Handling Imbalance Between Convergence and Diversity in the Decision Space in Evolutionary Multimodal Multiobjective Optimization

    Yiping Liu;Hisao Ishibuchi;Gary G. Yen;Yusuke Nojima

  • Adapting Reference Vectors and Scalarizing Functions by Growing Neural Gas to Handle Irregular Pareto Fronts

    Yiping Liu;Hisao Ishibuchi;Naoki Masuyama;Yusuke Nojima

  • Distributed Flow Shop Scheduling with Sequence-Dependent Setup Times Using an Improved Iterated Greedy Algorithm

    Xue Han;Yuyan Han;Qingda Chen;Junqing Li

  • Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions

    Rafael Alcalá;Yusuke Nojima;Francisco Herrera;Hisao Ishibuchi

  • Effectiveness of scalability improvement attempts on the performance of NSGA-II for many-objective problems

    Hisao Ishibuchi;Noritaka Tsukamoto;Yasuhiro Hitotsuyanagi;Yusuke Nojima

  • Comparison between Single-Objective and Multi-Objective Genetic Algorithms: Performance Comparison and Performance Measures

    H. Ishibuchi;Y. Nojima;Tsutomu Doi

  • Behavior of Evolutionary Many-Objective Optimization

    Hisao Ishibuchi;Noritaka Tsukamoto;Yusuke Nojima

Frequent Co-Authors

Hisao Ishibuchi
Hisao Ishibuchi Southern University of Science and Technology
Francisco Herrera
Francisco Herrera University of Granada
Toshio Fukuda
Toshio Fukuda Nagoya University
Shitong Wang
Shitong Wang Jiangnan University
Sanaz Mostaghim
Sanaz Mostaghim Otto-von-Guericke University Magdeburg
Gary G. Yen
Gary G. Yen Oklahoma State University
Oscar Cordón
Oscar Cordón University of Granada
Michio Sugeno
Michio Sugeno Tokyo Institute of Technology
Tzung-Pei Hong
Tzung-Pei Hong National University of Kaohsiung
Frank Hoffmann
Frank Hoffmann TU Dortmund University

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