World's Best Scientists 2026 revealed!
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Computer Science
New Zealand
2026

D-Index & Metrics

Computer Science

D-Index
64
Citations
21021
World Ranking
2549
National Ranking
5

Bing Xue 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 Bing Xue 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: 498 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Bing Xue 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 Bing Xue 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: 64 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in New Zealand Leader Award
  • 2025 - Research.com Computer Science in New Zealand Leader Award

Overview

Bing Xue is affiliated with Victoria University of Wellington in New Zealand and has a primary research focus in the field of Computer Science, particularly within Artificial Intelligence. Their body of work includes contributions to subfields such as Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Molecular Biology, and Plant Science.

The scientist's research topics emphasize Evolutionary Algorithms and Applications, Metaheuristic Optimization Algorithms Research, Advanced Multi-Objective Optimization Algorithms, Machine Learning and Data Classification, Anomaly Detection Techniques and Applications, Reinforcement Learning in Robotics, and Advanced Neural Network Applications.

Xue has authored numerous papers, including notable recent publications such as:

  • Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification, 2020, IEEE Transactions on Cybernetics
  • DHGRPO: Domain-Induced, Hierarchical Group Relative Policy Optimization, 2025, arXiv (Cornell University)
  • A survey on swarm intelligence approaches to feature selection in data mining, 2020, Swarm and Evolutionary Computation
  • An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification, 2020, IEEE Transactions on Cybernetics
  • A survey on feature selection approaches for clustering, 2020, Artificial Intelligence Review

Frequent collaborators in their research include Mengjie Zhang, Ying Bi, Qi Chen, Jun Zhang, and Xin Gao.

Xue's publications are commonly found in venues such as IEEE Transactions on Evolutionary Computation, arXiv (Cornell University), Proceedings of the Genetic and Evolutionary Computation Conference Companion, IEEE Transactions on Cybernetics, and IEEE Transactions on Emerging Topics in Computational Intelligence.

In addition to articles, Xue has contributed to books published by reputable publishers, including two editions of Genetic Programming with Springer Science+Business Media in 2022 and 2024, Genetic Programming for Image Classification with Springer Nature in 2021, and Meta-Scenario Computation for Social-Geographical Sustainability with Frontiers Media in 2023.

Best Publications

  • A Survey on Evolutionary Computation Approaches to Feature Selection

    Bing Xue;Mengjie Zhang;Will N. Browne;Xin Yao

  • Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach

    Bing Xue;Mengjie Zhang;Will N. Browne

  • Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification

    Yanan Sun;Bing Xue;Mengjie Zhang;Gary G. Yen

  • Evolving Deep Convolutional Neural Networks for Image Classification

    Yanan Sun;Bing Xue;Mengjie Zhang;Gary G. Yen

  • Particle swarm optimisation for feature selection in classification

    Bing Xue;Mengjie Zhang;Will N. Browne

  • A Survey on Evolutionary Neural Architecture Search.

    Yuqiao Liu;Yanan Sun;Bing Xue;Mengjie Zhang

  • Differential evolution for filter feature selection based on information theory and feature ranking

    Emrah Hancer;Emrah Hancer;Bing Xue;Mengjie Zhang

  • A survey on swarm intelligence approaches to feature selection in data mining

    Bach Hoai Nguyen;Bing Xue;Mengjie Zhang

  • Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification

    Yu Xue;Bing Xue;Mengjie Zhang

  • Pareto front feature selection based on artificial bee colony optimization

    Emrah Hancer;Emrah Hancer;Bing Xue;Mengjie Zhang;Dervis Karaboga

  • Completely Automated CNN Architecture Design Based on Blocks

    Yanan Sun;Bing Xue;Mengjie Zhang;Gary G. Yen

  • Variable-Length Particle Swarm Optimization for Feature Selection on High-Dimensional Classification

    Binh Tran;Bing Xue;Mengjie Zhang

  • Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor

    Yanan Sun;Handing Wang;Bing Xue;Yaochu Jin

  • An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification

    Ke Chen;Bing Xue;Mengjie Zhang;Fengyu Zhou

  • A survey on evolutionary machine learning

    Harith Al-Sahaf;Ying Bi;Qi Chen;Andrew Lensen

  • Genetic programming for feature construction and selection in classification on high-dimensional data

    Binh Tran;Bing Xue;Mengjie Zhang

  • A New Representation in PSO for Discretization-Based Feature Selection

    Binh Tran;Bing Xue;Mengjie Zhang

  • Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification

    Bin Wang;Yanan Sun;Bing Xue;Mengjie Zhang

  • Binary particle swarm optimisation for feature selection: A filter based approach

    Liam Cervante;Bing Xue;Mengjie Zhang;Lin Shang

  • A survey on feature selection approaches for clustering

    Emrah Hancer;Bing Xue;Mengjie Zhang

  • A binary ABC algorithm based on advanced similarity scheme for feature selection

    Emrah Hancer;Bing Xue;Dervis Karaboga;Mengjie Zhang

  • A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification

    Yanan Sun;Bing Xue;Mengjie Zhang;Gary G. Yen

Frequent Co-Authors

Mengjie Zhang
Mengjie Zhang Victoria University of Wellington
Gary G. Yen
Gary G. Yen Oklahoma State University
Yi Mei
Yi Mei Victoria University of Wellington
Su Nguyen
Su Nguyen RMIT University
Hisao Ishibuchi
Hisao Ishibuchi Southern University of Science and Technology
Dervis Karaboga
Dervis Karaboga Erciyes University
Xin Yao
Xin Yao Lingnan University
Yaochu Jin
Yaochu Jin Westlake University
Jing Liang
Jing Liang Zhengzhou University
Kay Chen Tan
Kay Chen Tan Hong Kong Polytechnic University

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