World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
69
Citations
21536
World Ranking
953
National Ranking
164

Computer Science

D-Index
71
Citations
22002
World Ranking
1764
National Ranking
240

Cunhua Pan publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Cunhua Pan sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 547 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Cunhua Pan D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Cunhua Pan sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 69 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Cunhua Pan is affiliated with Southeast University in China and specializes in engineering, with a strong focus on electrical and electronic engineering. Their research spans several subfields, including aerospace engineering, computer networks and communications, artificial intelligence, and ocean engineering.

The scientist's main research topics cover a range of advanced communication technologies and systems. These include:

  • Advanced Wireless Communication Technologies
  • Advanced MIMO Systems Optimization
  • Satellite Communication Systems
  • Antenna Design and Analysis
  • Indoor and Outdoor Localization Technologies
  • UAV Applications and Optimization
  • Underwater Vehicles and Communication Systems

Cunhua Pan has contributed to numerous publications, particularly in prestigious IEEE journals and letters. Frequent venues for their work include:

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

Some of their recent papers are:

  • "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)
  • "An Overview of Signal Processing Techniques for RIS/IRS-Aided Wireless Systems" (2022, IEEE Journal of Selected Topics in Signal Processing)
  • "Latency Minimization for Intelligent Reflecting Surface Aided Mobile Edge Computing" (2020, IEEE Journal on Selected Areas in Communications)

Their collaborations include frequent co-authorship with researchers such as Hong Ren, Kezhi Wang, Jiangzhou Wang, Maged Elkashlan, and Zhangjie Peng.

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

  • An Overview of Signal Processing Techniques for RIS/IRS-Aided Wireless Systems

    Unknown

  • Active RIS Versus Passive RIS: Which is Superior With the Same Power Budget?

    Unknown

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

    Cunhua Pan;Hong Ren;Kezhi Wang;Maged Elkashlan

  • Latency Minimization for Intelligent Reflecting Surface Aided Mobile Edge Computing

    Tong Bai;Cunhua Pan;Yansha Deng;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

  • Joint UAV Hovering Altitude and Power Control for Space-Air-Ground IoT Networks

    Jingjing Wang;Chunxiao Jiang;Zhongxiang Wei;Cunhua Pan

  • 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

  • Channel Estimation for RIS-Aided Multiuser Millimeter-Wave Systems

    Gui Zhou;Cunhua Pan;Hong Ren;Petar Popovski

  • 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

  • On the Optimality of Power Allocation for NOMA Downlinks With Individual QoS Constraints

    Zhaohui Yang;Wei Xu;Cunhua Pan;Yijin Pan

  • Channel Estimation with Reconfigurable Intelligent Surfaces - A General Framework.

    A. Lee Swindlehurst;Gui Zhou;Rang Liu;Cunhua Pan

  • Resource Allocation for Intelligent Reflecting Surface Aided Wireless Powered Mobile Edge Computing in OFDM Systems

    Tong Bai;Cunhua Pan;Hong Ren;Yansha Deng

  • Joint Blocklength and Location Optimization for URLLC-Enabled UAV Relay Systems

    Cunhua Pan;Hong Ren;Yansha Deng;Maged Elkashlan

  • User-Centric C-RAN Architecture for Ultra-Dense 5G Networks: Challenges and Methodologies

    Cunhua Pan;Maged Elkashlan;Jiangzhou Wang;Jinhong Yuan

  • Large-Scale Antenna Systems With UL/DL Hardware Mismatch: Achievable Rates Analysis and Calibration

    Wence Zhang;Hong Ren;Cunhua Pan;Ming Chen

  • Joint Precoding and RRH Selection for User-Centric Green MIMO C-RAN

    Cunhua Pan;Huiling Zhu;Nathan J. Gomes;Jiangzhou Wang

  • Multicell MIMO Communications Relying on Intelligent Reflecting Surface

    Cunhua Pan;Hong Ren;Kezhi Wang;Wei Xu

Frequent Co-Authors

Hong Ren
Hong Ren Southeast University
Kezhi Wang
Kezhi Wang Brunel University London
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
Lajos Hanzo
Lajos Hanzo University of Southampton
Yansha Deng
Yansha Deng King's College London
A. Lee Swindlehurst
A. Lee Swindlehurst University of California, Irvine
Marco Di Renzo
Marco Di Renzo CentraleSupélec
Kun Yang
Kun Yang University of Essex

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Related Online Degrees & Career Pathways

For students pursuing Electronics and Electrical Engineering in the USA, expanding skills through related online degrees can open diverse career pathways. For example, combining your technical background with a bachelor's degree in project management can enhance your ability to lead engineering projects effectively.

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For those interested in mentoring and workforce development, pursuing a master's in training and development online can prepare graduates to design effective technical training programs.

Additionally, competency based masters degree programs offer personalized learning paths focused on mastering specific skills, ideal for engineers looking to deepen expertise without spending extra time on unrelated coursework.

Exploring these related degree options can complement your engineering studies, enhance your professional profile, and provide versatile opportunities in a competitive job market.

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