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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

Kezhi 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 Kezhi 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 316 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Kezhi 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 Kezhi Wang sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

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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