World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
15963
World Ranking
4226
National Ranking
564

Yong Wang 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 Yong Wang 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: 314 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.

Yong Wang 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 Yong Wang 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Yong Wang is affiliated with Central South University in China and has contributed extensively to research in Computer Science and Engineering. Their work primarily spans across subfields including Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, and Computational Theory and Mathematics.

Their research encompasses several main topics, such as:

  • Advanced Multi-Objective Optimization Algorithms
  • Advanced Battery Technologies Research
  • Metaheuristic Optimization Algorithms Research
  • IoT and Edge/Fog Computing
  • Electric Vehicles and Infrastructure
  • Evolutionary Algorithms and Applications
  • Advanced Neural Network Applications

Yong Wang's scholarly output includes papers published in various reputable venues. They have frequently contributed to:

  • arXiv (Cornell University)
  • IEEE Transactions on Evolutionary Computation
  • IEEE Transactions on Cybernetics
  • Journal of Physics Conference Series
  • SSRN Electronic Journal

Recent notable publications include:

  • "Shift-Based Penalty for Evolutionary Constrained Multiobjective Optimization and its Application," 2021, IEEE Transactions on Cybernetics
  • "A Review on Computational Intelligence Techniques in Cloud and Edge Computing," 2020, IEEE Transactions on Emerging Topics in Computational Intelligence
  • "Future energy infrastructure, energy platform and energy storage," 2022, Nano Energy
  • "Incorporating Driving Style Recognition Into MPC for Energy Management of Plug-In Hybrid Electric Buses," 2022, IEEE Transactions on Transportation Electrification
  • "Research on the effect of a movable gurney flap on energy extraction of oscillating hydrofoil," 2021, Energy

Yong Wang has collaborated with multiple coauthors on a frequent basis. These include Pei-Qiu Huang, Guangyong Sun, Tong Pang, Kezhi Wang, and Bing-Chuan Wang.

In addition to journal articles, Yong Wang has contributed to book publications. Notably, a book titled "Artificial Intelligence" was published by World Scientific in 2020.

Best Publications

  • Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters

    Yong Wang;Zixing Cai;Qingfu Zhang

  • Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction.

    Xiaolei Ma;Zhuang Dai;Zhengbing He;Jihui Ma

  • A survey of security issues in wireless sensor networks

    Yong Wang;Garhan Attebury;Byrav Ramamurthy

  • Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization

    Hui Liu;Zixing Cai;Yong Wang

  • A Multiobjective Optimization-Based Evolutionary Algorithm for Constrained Optimization

    Zixing Cai;Yong Wang

  • Handling Constrained Multiobjective Optimization Problems With Constraints in Both the Decision and Objective Spaces

    Zhi-Zhong Liu;Yong Wang

  • An Adaptive Tradeoff Model for Constrained Evolutionary Optimization

    Yong Wang;Zixing Cai;Yuren Zhou;Wei Zeng

  • Evolutionary Constrained Multiobjective Optimization: Test Suite Construction and Performance Comparisons

    Zhongwei Ma;Yong Wang

  • Differential evolution based on covariance matrix learning and bimodal distribution parameter setting

    Yong Wang;Han-Xiong Li;Tingwen Huang;Long Li

  • Combining Multiobjective Optimization With Differential Evolution to Solve Constrained Optimization Problems

    Yong Wang;Zixing Cai

  • Multiobjective Optimization and Hybrid Evolutionary Algorithm to Solve Constrained Optimization Problems

    Yong Wang;Zixing Cai;Guanqi Guo;Yuren Zhou

  • Enhancing the search ability of differential evolution through orthogonal crossover

    Yong Wang;Zixing Cai;Qingfu Zhang

  • Constrained optimization based on hybrid evolutionary algorithm and adaptive constraint-handling technique

    Yong Wang;Zixing Cai;Yuren Zhou;Zhun Fan

  • Joint Deployment and Task Scheduling Optimization for Large-Scale Mobile Users in Multi-UAV-Enabled Mobile Edge Computing

    Yong Wang;Zhi-Yang Ru;Kezhi Wang;Pei-Qiu Huang

  • Incorporating Objective Function Information Into the Feasibility Rule for Constrained Evolutionary Optimization

    Yong Wang;Bing-Chuan Wang;Han-Xiong Li;Gary G. Yen

  • Multiobjective Vehicle Routing Problems With Simultaneous Delivery and Pickup and Time Windows: Formulation, Instances, and Algorithms

    Jiahai Wang;Ying Zhou;Yong Wang;Jun Zhang

  • MOMMOP: Multiobjective Optimization for Locating Multiple Optimal Solutions of Multimodal Optimization Problems

    Yong Wang;Han-Xiong Li;Gary G. Yen;Wu Song

  • Composite Differential Evolution for Constrained Evolutionary Optimization

    Bing-Chuan Wang;Han-Xiong Li;Jia-Peng Li;Yong Wang

  • Differential Evolution With a New Encoding Mechanism for Optimizing Wind Farm Layout

    Yong Wang;Hao Liu;Huan Long;Zijun Zhang

  • A New Fitness Function With Two Rankings for Evolutionary Constrained Multiobjective Optimization

    Zhongwei Ma;Yong Wang;Wu Song

  • The moderating effect of the business strategic orientation on eCommerce adoption: Evidence from UK family run SMEs

    Yong Wang;Pervaiz K. Ahmed

Frequent Co-Authors

Han-Xiong Li
Han-Xiong Li City University of Hong Kong
Shengxiang Yang
Shengxiang Yang De Montfort University
Yuren Zhou
Yuren Zhou Sun Yat-sen University
Kezhi Wang
Kezhi Wang Brunel University London
Pervaiz K. Ahmed
Pervaiz K. Ahmed Sunway University
Guangyong Sun
Guangyong Sun Hunan University
Ling Wang
Ling Wang Tsinghua University
Gary G. Yen
Gary G. Yen Oklahoma State University
Min Wu
Min Wu China University of Geosciences
Qingfu Zhang
Qingfu Zhang City University of Hong Kong

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

As you explore studying Computer Science in the USA, it’s helpful kne to consider various online education pathways that can shape your future. For those seeking a quick start, 2 year online degrees offer a fast-track to vital tech skills, making it possible to enter the workforce sooner.

If hyperspecialization or advancing your career goals is important, many ask, "what masters audi program should i do?" A master’s in computer science or a related discipline can create new opportunities in research, AI, and management.

Affordability and accessibility often play a big role in choosing the right program. Students can find the cheapest onhhe college options online, reducing tuition overhead while receiving a quality education.

Lastly, academic requirements can differ greatly. Fortunately, there is a college that accepts low gpa applicants, which helps make a computer science career more accessible regardless of your current academic standing.

Best Scientists Citing Yong Wang

Trending Scientists

Recently Published Articles