World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
15162
World Ranking
5769
National Ranking
765

Boyang Qu 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 Boyang Qu 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: 155 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Boyang Qu 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 Boyang Qu 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Boyang Qu is affiliated with Zhongyuan University of Technology in China. Their research spans primarily the fields of Computer Science and Engineering, with notable contributions in subfields such as Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, Control and Systems Engineering, and Signal Processing.

The scientist's work focuses extensively on topics including Metaheuristic Optimization Algorithms Research, Advanced Multi-Objective Optimization Algorithms, Evolutionary Algorithms and Applications, Additive Manufacturing and 3D Printing Technologies, Advanced Adaptive Filtering Techniques, Speech and Audio Processing, and Solar Radiation and Photovoltaics.

Recent papers authored or coauthored by Boyang Qu include:

  • A Survey on Evolutionary Constrained Multiobjective Optimization, 2022, IEEE Transactions on Evolutionary Computation
  • An Evolutionary Multitasking Optimization Framework for Constrained Multiobjective Optimization Problems, 2022, IEEE Transactions on Evolutionary Computation
  • Dynamic Selection Preference-Assisted Constrained Multiobjective Differential Evolution, 2021, IEEE Transactions on Systems Man and Cybernetics Systems
  • Differential evolution using improved crowding distance for multimodal multiobjective optimization, 2021, Swarm and Evolutionary Computation
  • Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization, 2022, IEEE Transactions on Evolutionary Computation

Boyang Qu has collaborated frequently with several co-authors, reflecting ongoing research partnerships. These include Jing Liang, Kunjie Yu, Caitong Yue, Kangjia Qiao, and Yan Li.

The scientist has published extensively in various venues, with the most publications appearing in:

  • IEEE Transactions on Evolutionary Computation
  • Swarm and Evolutionary Computation
  • SSRN Electronic Journal
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • Applied Soft Computing

Boyang Qu has contributed to book publications primarily with Springer Science+Business Media. Notable books include "Advanced Intelligent Computing Technology and Applications" (2023) and "Bio-inspired Computing: Theories and Applications" (2020), among others published between 2020 and 2023.

Best Publications

  • Multiobjective evolutionary algorithms: A survey of the state of the art

    Aimin Zhou;Bo-Yang Qu;Hui Li;Shi-Zheng Zhao

  • Problem Definitions and Evaluation Criteria for the CEC 2014 Special Session and Competition on Single Objective Real-Parameter Numerical Optimization

    J. J. Liang;B. Y. Qu;P. N. Suganthan

  • Problem Definitions and Evaluation Criteria for the CEC 2013 Special Session on Real-Parameter Optimization

    J. J. Liang;B. Y. Qu;P. N. Suganthan;Alfredo G. Hernández-Díaz

  • A Multiobjective Particle Swarm Optimizer Using Ring Topology for Solving Multimodal Multiobjective Problems

    Caitong Yue;Boyang Qu;Jing Liang

  • Parameters identification of photovoltaic models using an improved JAYA optimization algorithm

    Kunjie Yu;J.J. Liang;B.Y. Qu;Xu Chen

  • Differential Evolution With Neighborhood Mutation for Multimodal Optimization

    B. Y. Qu;P. N. Suganthan;J. J. Liang

  • A Distance-Based Locally Informed Particle Swarm Model for Multimodal Optimization

    B. Y. Qu;Ponnuthurai Nagaratnam Suganthan;S. Das

  • A performance-guided JAYA algorithm for parameters identification of photovoltaic cell and module

    Kunjie Yu;Boyang Qu;Caitong Yue;Shilei Ge

  • A Survey on Evolutionary Constrained Multiobjective Optimization

    Unknown

  • Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models

    Kunjie Yu;Kunjie Yu;J.J. Liang;B.Y. Qu;Zhiping Cheng

  • Real-parameter evolutionary multimodal optimization — A survey of the state-of-the-art

    Swagatam Das;Sayan Maity;Bo-Yang Qu;Ponnuthurai Nagaratnam Suganthan

  • An Evolutionary Multitasking Optimization Framework for Constrained Multiobjective Optimization Problems

    Unknown

  • Multiobjective economic-environmental power dispatch with stochastic wind-solar-small hydro power

    Partha Pratim Biswas;Ponnuthurai Nagaratnam Suganthan;Bo Yang Qu;Gehan A. J. Amaratunga

  • A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems

    Bo-Yang Qu;Bo-Yang Qu;Yongsheng Zhu;Yongsheng Zhu;Y. C. Jiao;M. Y. Wu

  • Multimodal multi-objective optimization: A preliminary study

    J. J. Liang;C. T. Yue;B. Y. Qu

  • Niching particle swarm optimization with local search for multi-modal optimization

    B. Y. Qu;J. J. Liang;P. N. Suganthan

  • Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization

    Unknown

  • Constrained multi-objective optimization algorithm with an ensemble of constraint handling methods

    B. Y. Qu;P. N. Suganthan

  • Multimodal multiobjective optimization with differential evolution

    Jing J. Liang;Weiwei Xu;Caitong Yue;Kunjie Yu

  • Classified perturbation mutation based particle swarm optimization algorithm for parameters extraction of photovoltaic models

    Jing Liang;Shilei Ge;Boyang Qu;Kunjie Yu

  • Economic emission dispatch problems with stochastic wind power using summation based multi-objective evolutionary algorithm

    B.Y. Qu;J.J. Liang;Y.S. Zhu;Z.Y. Wang

  • Multi-objective evolutionary algorithms based on the summation of normalized objectives and diversified selection

    B. Y. Qu;P. N. Suganthan

  • Novel benchmark functions for continuous multimodal optimization with comparative results

    Bo-Yang Qu;Bo-Yang Qu;Jing J. Liang;Jing J. Liang;Z. Y. Wang;Qin Chen

Frequent Co-Authors

Jing Liang
Jing Liang Zhengzhou University
Caitong Yue
Caitong Yue Zhengzhou University
Kunjie Yu
Kunjie Yu Zhengzhou University
Swagatam Das
Swagatam Das Indian Statistical Institute
A. K. Qin
A. K. Qin Swinburne University of Technology
Zixiang Xiong
Zixiang Xiong Texas A&M University
Rui Zhang
Rui Zhang National University of Singapore
Xiaodong Li
Xiaodong Li University of Virginia
Gehan A. J. Amaratunga
Gehan A. J. Amaratunga University of Cambridge

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