World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

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

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
Kezhi Wang
Kezhi Wang Brunel University London
Guangyong Sun
Guangyong Sun Hunan University
Zhihua Cai
Zhihua Cai China University of Geosciences, Wuhan
Ling Wang
Ling Wang Tsinghua University
Qingfu Zhang
Qingfu Zhang City University of Hong Kong
Gary G. Yen
Gary G. Yen Oklahoma State University
Min Wu
Min Wu China University of Geosciences
Wenyin Gong
Wenyin Gong China University of Geosciences

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