World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
9529
World Ranking
6796
National Ranking
911

Shifei Ding 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 Shifei Ding 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: 178 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Shifei Ding 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 Shifei Ding 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

Shifei Ding is affiliated with the China University of Mining and Technology in China. Their primary area of research lies in computer science, with a focus on artificial intelligence and its various subfields.

The scientist's work spans multiple specialized areas, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Statistical and Nonlinear Physics
  • Control and Systems Engineering
  • Media Technology

The main research topics covered in their publications include:

  • Face and Expression Recognition
  • Advanced Clustering Algorithms Research
  • Complex Network Analysis Techniques
  • Machine Learning and Extreme Learning Machines (ELM)
  • Advanced Graph Neural Networks
  • Neural Networks and Applications
  • Reinforcement Learning in Robotics

They have authored papers in a range of journals and conferences with recurring publication venues such as:

  • International Journal of Machine Learning and Cybernetics
  • Information Sciences
  • Applied Intelligence
  • Soft Computing
  • Pattern Recognition

Selected recent publications include:

  • A stochastic configuration network based on chaotic sparrow search algorithm, 2021, Knowledge-Based Systems
  • A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications, 2020, Artificial Intelligence Review
  • An improved grid search algorithm to optimize SVR for prediction, 2021, Soft Computing
  • A support vector regression model hybridized with chaotic krill herd algorithm and empirical mode decomposition for regression task, 2020, Neurocomputing
  • Survey of spectral clustering based on graph theory, 2024, Pattern Recognition

Frequent collaborators in their research work include:

  • Ling Ding
  • Lili Guo
  • Chenglong Zhang
  • Haiwei Hou
  • Xiao Xu

In addition to journal articles, Shifei Ding has contributed to academic books, including a publication by World Scientific titled Advanced Randomized Neural Networks for Pattern Analysis, scheduled for 2025.

Best Publications

  • An optimizing BP neural network algorithm based on genetic algorithm

    Shifei Ding;Chunyang Su;Junzhao Yu

  • Extreme learning machine: algorithm, theory and applications

    Shifei Ding;Han Zhao;Yanan Zhang;Xinzheng Xu

  • Study on density peaks clustering based on k-nearest neighbors and principal component analysis

    Mingjing Du;Shifei Ding;Hongjie Jia

  • Evolutionary artificial neural networks: a review

    Shifei Ding;Hui Li;Chunyang Su;Junzhao Yu

  • Extreme learning machine and its applications

    Shifei Ding;Xinzheng Xu;Ru Nie

  • A stochastic configuration network based on chaotic sparrow search algorithm

    Chenglong Zhang;Shifei Ding;Shifei Ding

  • The latest research progress on spectral clustering

    Hongjie Jia;Shifei Ding;Xinzheng Xu;Ru Nie

  • An overview on Restricted Boltzmann Machines

    Nan Zhang;Shifei Ding;Jian Zhang;Yu Xue

  • A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications

    Wei Du;Shifei Ding;Shifei Ding

  • An improved grid search algorithm to optimize SVR for prediction

    Yuting Sun;Shifei Ding;Shifei Ding;Zichen Zhang;Weikuan Jia

  • Deep Extreme Learning Machine and Its Application in EEG Classification

    Shifei Ding;Shifei Ding;Nan Zhang;Nan Zhang;Xinzheng Xu;Xinzheng Xu;Lili Guo;Lili Guo

  • An overview on semi-supervised support vector machine

    Shifei Ding;Zhibin Zhu;Xiekai Zhang

  • A hybrid optimization algorithm based on cuckoo search and differential evolution for solving constrained engineering problems

    Zichen Zhang;Zichen Zhang;Shifei Ding;Shifei Ding;Weikuan Jia

  • A survey on feature extraction for pattern recognition

    Shifei Ding;Hong Zhu;Weikuan Jia;Chunyang Su

  • An overview on twin support vector machines

    Shifei Ding;Junzhao Yu;Bingjuan Qi;Huajuan Huang

  • A support vector regression model hybridized with chaotic krill herd algorithm and empirical mode decomposition for regression task

    Zichen Zhang;Shifei Ding;Shifei Ding;Yuting Sun

  • An improved density peaks clustering algorithm with fast finding cluster centers

    Xiao Xu;Shifei Ding;Shifei Ding;Zhongzhi Shi

  • Twin support vector machine: theory, algorithm and applications

    Shifei Ding;Nan Zhang;Xiekai Zhang;Fulin Wu

  • An optimized classification algorithm by BP neural network based on PLS and HCA

    Weikuan Jia;Dean Zhao;Tian Shen;Shifei Ding

  • Research on data stream clustering algorithms

    Shifei Ding;Fulin Wu;Jun Qian;Hongjie Jia

  • Unsupervised extreme learning machine with representational features

    Shifei Ding;Shifei Ding;Nan Zhang;Nan Zhang;Jian Zhang;Jian Zhang;Xinzheng Xu;Xinzheng Xu

Frequent Co-Authors

Yu Xue
Yu Xue Nanjing University of Information Science and Technology
Zhongzhi Shi
Zhongzhi Shi Chinese Academy of Sciences
Qing He
Qing He University of Chinese Academy of Sciences

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