World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
69
Citations
20175
World Ranking
956
National Ranking
165

Zhangdui Zhong 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 Zhangdui Zhong 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: 742 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Zhangdui Zhong 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 Zhangdui Zhong 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

Zhangdui Zhong is affiliated with Beijing Jiaotong University in China and has contributed extensively to the field of engineering, particularly within electrical and electronic engineering. Their work encompasses multiple subfields, including aerospace engineering and computer networks and communications. The primary focus lies in advanced wireless communications and related technologies.

Their research portfolio includes publications on several specialized topics such as:

  • Millimeter-Wave Propagation and Modeling
  • Advanced MIMO Systems Optimization
  • Advanced Wireless Communication Technologies
  • Power Line Communications and Noise
  • Energy Harvesting in Wireless Networks
  • Antenna Design and Analysis
  • UAV Applications and Optimization

Zhong has published in a range of venues with a significant presence in IEEE journals and arXiv, including:

  • IEEE Transactions on Vehicular Technology
  • arXiv (Cornell University)
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Intelligent Transportation Systems
  • China Communications

Among recent papers, notable work includes:

  • 5G Key Technologies for Smart Railways, 2020, Proceedings of the IEEE
  • Machine Learning-Enabled LOS/NLOS Identification for MIMO Systems in Dynamic Environments, 2020, IEEE Transactions on Wireless Communications
  • Artificial Intelligence Enabled Radio Propagation for Communications-Part II: Scenario Identification and Channel Modeling, 2021, arXiv (Cornell University)
  • Energy Efficiency in Secure IRS-Aided SWIPT, 2020, IEEE Wireless Communications Letters
  • Impact of UAV Rotation on MIMO Channel Characterization for Air-to-Ground Communication Systems, 2020, IEEE Transactions on Vehicular Technology

Collaborations have been frequent with several researchers, including:

  • Bo Ai
  • Ruisi He
  • Yong Niu
  • Ning Wang
  • Mi Yang

Zhong's research reflects an interdisciplinary approach integrating wireless communication technologies with practical applications in transport and aerospace domains. The body of work totals over 550 publications in engineering, with nearly 400 focused specifically on electrical and electronic engineering topics.

Best Publications

  • Operator controlled device-to-device communications in LTE-advanced networks

    Lei Lei;Zhangdui Zhong;Chuang Lin;Xuemin Shen

  • Challenges Toward Wireless Communications for High-Speed Railway

    Bo Ai;Xiang Cheng;Thomas Kürner;Zhang-Dui Zhong

  • The Design and Applications of High-Performance Ray-Tracing Simulation Platform for 5G and Beyond Wireless Communications: A Tutorial

    Danping He;Bo Ai;Ke Guan;Longhe Wang

  • Short-Packet Downlink Transmission With Non-Orthogonal Multiple Access

    Xiaofang Sun;Shihao Yan;Nan Yang;Zhiguo Ding

  • High-Speed Railway Communications: From GSM-R to LTE-R

    Ruisi He;Bo Ai;Gongpu Wang;Ke Guan

  • Physical Layer Security in UAV Systems: Challenges and Opportunities

    Xiaofang Sun;Derrick Wing Kwan Ng;Zhiguo Ding;Yanqing Xu

  • 5G Key Technologies for Smart Railways

    Bo Ai;Andreas F. Molisch;Markus Rupp;Zhang-Dui Zhong

  • Joint Beamforming and Power-Splitting Control in Downlink Cooperative SWIPT NOMA Systems

    Yanqing Xu;Chao Shen;Zhiguo Ding;Xiaofang Sun

  • Propagation Channels of 5G Millimeter-Wave Vehicle-to-Vehicle Communications: Recent Advances and Future Challenges

    Ruisi He;Christian Schneider;Bo Ai;Gongpu Wang

  • On Indoor Millimeter Wave Massive MIMO Channels: Measurement and Simulation

    Bo Ai;Ke Guan;Ruisi He;Jianzhi Li

  • On Millimeter Wave and THz Mobile Radio Channel for Smart Rail Mobility

    Ke Guan;Guangkai Li;Thomas Kurner;Andreas F. Molisch

  • Specific Emitter Identification via Hilbert–Huang Transform in Single-Hop and Relaying Scenarios

    Jingwen Zhang;Fanggang Wang;Octavia A. Dobre;Zhangdui Zhong

  • Vehicle-to-Vehicle Propagation Models With Large Vehicle Obstructions

    Ruisi He;Andreas F. Molisch;Fredrik Tufvesson;Zhangdui Zhong

  • Geometrical-Based Modeling for Millimeter-Wave MIMO Mobile-to-Mobile Channels

    Ruisi He;Bo Ai;Gordon L. Stuber;Gongpu Wang

  • Measurements and Analysis of Propagation Channels in High-Speed Railway Viaducts

    Ruisi He;Zhangdui Zhong;Bo Ai;Gongpu Wang

  • Artificial Intelligence Enabled Radio Propagation for Communications—Part II: Scenario Identification and Channel Modeling

    Unknown

  • Challenges on wireless heterogeneous networks for mobile cloud computing

    Lei Lei;Zhangdui Zhong;Kan Zheng;Jiadi Chen

  • Channel Measurement, Simulation, and Analysis for High-Speed Railway Communications in 5G Millimeter-Wave Band

    Danping He;Bo Ai;Ke Guan;Zhangdui Zhong

  • Joint Beamforming and Power Allocation in Downlink NOMA Multiuser MIMO Networks

    Xiaofang Sun;Nan Yang;Shihao Yan;Zhiguo Ding

  • Machine Learning-Enabled LOS/NLOS Identification for MIMO Systems in Dynamic Environments

    Chen Huang;Andreas F. Molisch;Ruisi He;Rui Wang

  • An Empirical Path Loss Model and Fading Analysis for High-Speed Railway Viaduct Scenarios

    Ruisi He;Zhangdui Zhong;Bo Ai;Jianwen Ding

  • Measurement of Distributed Antenna Systems at 2.4 GHz in a Realistic Subway Tunnel Environment

    Ke Guan;Zhangdui Zhong;J. I. Alonso;C. Briso-Rodriguez

  • Short-Packet Communications with NOMA for IoT Applications.

    Xiaofang Sun;Shihao Yan;Nan Yang;Zhiguo Ding

Frequent Co-Authors

Bo Ai
Bo Ai Beijing Jiaotong University
Ruisi He
Ruisi He Beijing Jiaotong University
Ke Guan
Ke Guan Beijing Jiaotong University
Ke Xiong
Ke Xiong Beijing Jiaotong University
Gongpu Wang
Gongpu Wang Beijing Jiaotong University
Pingyi Fan
Pingyi Fan Tsinghua University
Thomas Kurner
Thomas Kurner Technische Universität Braunschweig
Andreas F. Molisch
Andreas F. Molisch University of Southern California
Feifei Gao
Feifei Gao Tsinghua University
Khaled Ben Letaief
Khaled Ben Letaief Hong Kong University of Science and Technology

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