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Rising Stars
2025

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Rising Stars

D-Index
50
Citations
11308
World Ranking
315
National Ranking
14

Computer Science

D-Index
56
Citations
14841
World Ranking
4019
National Ranking
244

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Kezhi Wang is affiliated with Brunel University London in the United Kingdom. Their research spans several core fields within engineering and computer science, with a strong focus on electrical and electronic engineering, aerospace engineering, computer networks and communications, artificial intelligence, and computer vision and pattern recognition.

The scientist has contributed extensively to topics related to advanced wireless communication technologies, UAV applications and optimization, advanced MIMO systems optimization, IoT and edge/fog computing, satellite communication systems, wireless communication security techniques, and privacy-preserving technologies in data.

Kezhi Wang's publication record includes frequent contributions to well-known venues such as:

  • arXiv (Cornell University)
  • IEEE Wireless Communications Letters
  • IEEE Transactions on Vehicular Technology
  • IEEE Communications Letters
  • IEEE Transactions on Wireless Communications

Recent papers authored or co-authored by Kezhi Wang include:

  • Multicell MIMO Communications Relying on Intelligent Reflecting Surfaces (2020, IEEE Transactions on Wireless Communications)
  • Reconfigurable Intelligent Surfaces for 6G Systems: Principles, Applications, and Research Directions (2021, IEEE Communications Magazine)
  • Intelligent Reflecting Surface Aided MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer (2020, IEEE Journal on Selected Areas in Communications)
  • A Framework of Robust Transmission Design for IRS-Aided MISO Communications With Imperfect Cascaded Channels (2020, IEEE Transactions on Signal Processing)
  • Multi-Agent Deep Reinforcement Learning-Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing (2020, IEEE Transactions on Cognitive Communications and Networking)

Kezhi Wang has collaborated extensively with several frequent co-authors, including:

  • Cunhua Pan
  • Kun Yang
  • Hong Ren
  • Feibo Jiang
  • Li Dong

Their work intersects advanced research areas in wireless communication systems and artificial intelligence applications, especially focusing on emerging technologies such as intelligent reflecting surfaces, multi-agent reinforcement learning, and trajectory optimization for UAV-assisted systems.

Best Publications

  • Multicell MIMO Communications Relying on Intelligent Reflecting Surfaces

    Cunhua Pan;Hong Ren;Kezhi Wang;Wei Xu

  • Reconfigurable Intelligent Surfaces for 6G Systems: Principles, Applications, and Research Directions

    Cunhua Pan;Hong Ren;Kezhi Wang;Jonas Florentin Kolb

  • Intelligent Reflecting Surface Aided MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer

    Cunhua Pan;Hong Ren;Kezhi Wang;Maged Elkashlan

  • Intelligent Reflecting Surface Aided MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer

    Cunhua Pan;Hong Ren;Kezhi Wang;Maged Elkashlan

  • A Framework of Robust Transmission Design for IRS-Aided MISO Communications With Imperfect Cascaded Channels

    Gui Zhou;Cunhua Pan;Hong Ren;Kezhi Wang

  • Multi-Agent Deep Reinforcement Learning-Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing

    Liang Wang;Kezhi Wang;Cunhua Pan;Wei Xu

  • Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks

    Zhaohui Yang;Cunhua Pan;Kezhi Wang;Mohammad Shikh-Bahaei

  • Intelligent Reflecting Surface Aided Multigroup Multicast MISO Communication Systems

    Gui Zhou;Cunhua Pan;Hong Ren;Kezhi Wang

  • Artificial-Noise-Aided Secure MIMO Wireless Communications via Intelligent Reflecting Surface

    Sheng Hong;Cunhua Pan;Hong Ren;Kezhi Wang

  • Robust Beamforming Design for Intelligent Reflecting Surface Aided MISO Communication Systems

    Gui Zhou;Cunhua Pan;Hong Ren;Kezhi Wang

  • Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing

    Liang Wang;Kezhi Wang;Cunhua Pan;Wei Xu

  • Secure Communications for UAV-Enabled Mobile Edge Computing Systems

    Yi Zhou;Cunhua Pan;Phee Lep Yeoh;Kezhi Wang

  • 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

  • Joint Energy Minimization and Resource Allocation in C-RAN with Mobile Cloud

    Kezhi Wang;Kun Yang;Chathura Sarathchandra Magurawalage

  • Power Scaling Law Analysis and Phase Shift Optimization of RIS-aided Massive MIMO Systems with Statistical CSI

    Kangda Zhi;Cunhua Pan;Hong Ren;Kezhi Wang

  • Joint Resources and Workflow Scheduling in UAV-Enabled Wirelessly-Powered MEC for IoT Systems

    Yao Du;Kun Yang;Kezhi Wang;Guopeng Zhang

  • Robust Transmission Design for Intelligent Reflecting Surface-Aided Secure Communication Systems With Imperfect Cascaded CSI

    Sheng Hong;Cunhua Pan;Hong Ren;Kezhi Wang

  • UAV-Assisted and Intelligent Reflecting Surfaces-Supported Terahertz Communications

    Yijin Pan;Kezhi Wang;Cunhua Pan;Huiling Zhu

  • 3D-Trajectory and Phase-Shift Design for RIS-Assisted UAV Systems Using Deep Reinforcement Learning

    Unknown

  • Spectral and Energy Efficiency of IRS-Assisted MISO Communication With Hardware Impairments

    Shaoqing Zhou;Wei Xu;Kezhi Wang;Marco Di Renzo

  • Deep-Learning-Based Joint Resource Scheduling Algorithms for Hybrid MEC Networks

    Feibo Jiang;Kezhi Wang;Li Dong;Cunhua Pan

  • Multicell MIMO Communications Relying on Intelligent Reflecting Surface

    Cunhua Pan;Hong Ren;Kezhi Wang;Wei Xu

Frequent Co-Authors

Cunhua Pan
Cunhua Pan Southeast University
Kun Yang
Kun Yang University of Essex
Hong Ren
Hong Ren Southeast University
Arumugam Nallanathan
Arumugam Nallanathan Queen Mary University of London
Maged Elkashlan
Maged Elkashlan Queen Mary University of London
Jiangzhou Wang
Jiangzhou Wang University of Kent
Marco Di Renzo
Marco Di Renzo CentraleSupélec
Nauman Aslam
Nauman Aslam Northumbria University
Lajos Hanzo
Lajos Hanzo University of Southampton
Yunfei Chen
Yunfei Chen University of Warwick

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