World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
5181
World Ranking
12604
National Ranking
1546

Shi Cheng 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 Shi Cheng 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: 131 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Shi Cheng 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 Shi Cheng 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Shi Cheng is affiliated with Shaanxi Normal University in China and has published extensively in the fields of computer science and engineering. Their research predominantly focuses on artificial intelligence and its various subfields, including evolutionary algorithms and optimization methods.

The scholar has contributed to main areas such as:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Evolutionary Algorithms and Applications
  • Robotic Path Planning Algorithms
  • Satellite Communication Systems
  • Optimization and Search Problems
  • Distributed and Parallel Computing Systems

Their recent papers include the following:

  • Enhancing Learning Efficiency of Brain Storm Optimization via Orthogonal Learning Design, 2020, IEEE Transactions on Systems Man and Cybernetics Systems
  • Pareto-Wise Ranking Classifier for Multiobjective Evolutionary Neural Architecture Search, 2023, IEEE Transactions on Evolutionary Computation
  • Cost-Efficient Workflow Scheduling Algorithm for Applications With Deadline Constraint on Heterogeneous Clouds, 2021, IEEE Transactions on Parallel and Distributed Systems
  • Evolutionary computation for solving search-based data analytics problems, 2020, Artificial Intelligence Review
  • Automatic design of machine learning via evolutionary computation: A survey, 2023, Applied Soft Computing

Shi Cheng frequently publishes in several key venues, including:

  • Swarm and Evolutionary Computation
  • Applied Soft Computing
  • IEEE Transactions on Emerging Topics in Computational Intelligence
  • Tsinghua Science & Technology
  • Neural Computing and Applications

Collaborations have been an integral part of their work. Frequent co-authors include:

  • Yuhui Shi
  • Hui Lu
  • Yifei Sun
  • Zhuo Liu
  • Xin Sun

The subfields leveraged in Shi Cheng's work span:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Aerospace Engineering

This array of research outputs, publication venues, and collaboration networks reflects Shi Cheng's involvement in multiple dimensions of computer science and engineering, particularly focused on computational intelligence, optimization approaches, and their practical applications.

Best Publications

  • Metaheuristic research: a comprehensive survey

    Kashif Hussain;Mohd Najib Mohd Salleh;Shi Cheng;Yuhui Shi

  • On the exploration and exploitation in popular swarm-based metaheuristic algorithms

    Kashif Hussain;Mohd Najib Mohd Salleh;Shi Cheng;Yuhui Shi

  • Enhancing Learning Efficiency of Brain Storm Optimization via Orthogonal Learning Design

    Lianbo Ma;Shi Cheng;Yuhui Shi

  • Brain storm optimization algorithm: a review

    Shi Cheng;Quande Qin;Junfeng Chen;Yuhui Shi

  • Hybrid metaheuristic algorithms: past, present, and future

    T. O. Ting;Xin-She Yang;Shi Cheng;Kaizhu Huang

  • Cost-sensitive feature selection using two-archive multi-objective artificial bee colony algorithm

    Yong Zhang;Shi Cheng;Yuhui Shi;Dun-wei Gong

  • CBSO: a memetic brain storm optimization with chaotic local search

    Yang Yu;Shangce Gao;Shi Cheng;Yirui Wang

  • Particle Swarm Optimization With Interswarm Interactive Learning Strategy

    Quande Qin;Shi Cheng;Qingyu Zhang;Li Li

  • Population Diversity Maintenance In Brain Storm Optimization Algorithm

    Shi Cheng;Yuhui Shi;Quande Qin;Qingyu Zhang

  • Common Benchmark Functions for Metaheuristic Evaluation: A Review

    Kashif Hussain;Mohd Najib Mohd Salleh;Shi Cheng;Rashid Naseem

  • Solving non-convex/non-smooth economic load dispatch problems via an enhanced particle swarm optimization

    Quande Qin;Shi Cheng;Xianghua Chu;Xiujuan Lei

  • Big data analytics with swarm intelligence

    Shi Cheng;Qingyu Zhang;Quande Qin

  • Enhanced Brain Storm Optimization Algorithm for Wireless Sensor Networks Deployment

    Junfeng Chen;Shi Cheng;Yang Chen;Yingjuan Xie

  • Diversity control in particle swarm optimization

    Shi Cheng;Yuhui Shi

  • Brain storm optimization algorithm for multi-objective optimization problems

    Jingqian Xue;Yali Wu;Yuhui Shi;Shi Cheng

  • Swarm Intelligence in Big Data Analytics

    Shi Cheng;Yuhui Shi;Quande Qin;Ruibin Bai

  • Brain storm optimization algorithm with modified step-size and individual generation

    Dadian Zhou;Yuhui Shi;Shi Cheng

  • Experimental Study on Boundary Constraints Handling in Particle Swarm Optimization: From Population Diversity Perspective

    Yuhui Shi;Shi Cheng;Quande Qin

  • Multiple strategies based orthogonal design particle swarm optimizer for numerical optimization

    Quande Qin;Shi Cheng;Qingyu Zhang;Yiming Wei

  • A quarter century of particle swarm optimization

    Shi Cheng;Hui Lu;Xiujuan Lei;Yuhui Shi

  • On the performance metrics of multiobjective optimization

    Shi Cheng;Yuhui Shi;Quande Qin

Frequent Co-Authors

Yuhui Shi
Yuhui Shi Southern University of Science and Technology
Hui Lu
Hui Lu Tsinghua University
Gai-Ge Wang
Gai-Ge Wang Ocean University of China
Yun Li
Yun Li University of Electronic Science and Technology of China
Xin-She Yang
Xin-She Yang Middlesex University
Dunwei Gong
Dunwei Gong Qingdao University of Science and Technology
Kaizhu Huang
Kaizhu Huang Duke Kunshan University
Zhihua Cui
Zhihua Cui Taiyuan University of Science and Technology
Fang-Xiang Wu
Fang-Xiang Wu University of Saskatchewan
Ying Tan
Ying Tan Peking University

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