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Rising Stars
2025

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Rising Stars

D-Index
33
Citations
5030
World Ranking
923
National Ranking
296

Electronics and Electrical Engineering

D-Index
34
Citations
5279
World Ranking
5770
National Ranking
830

Guangxu Zhu 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 Guangxu Zhu 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: 85 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Guangxu Zhu 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 Guangxu Zhu 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: 34 D-Index — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Guangxu Zhu is affiliated with the Shenzhen Research Institute of Big Data in China. Their research spans multiple areas within computer science and engineering with a strong emphasis on wireless communications and machine learning applications.

The main fields of study for their work include Computer Science and Engineering. Subfields prominently represented in their publications are Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Aerospace Engineering, and Biomedical Engineering.

The scientist's research focuses on several key topics:

  • Privacy-Preserving Technologies in Data
  • Indoor and Outdoor Localization Technologies
  • Distributed Sensor Networks and Detection Algorithms
  • IoT and Edge/Fog Computing
  • Stochastic Gradient Optimization Techniques
  • Wireless Communication Security Techniques
  • Advanced MIMO Systems Optimization

Guangxu Zhu has published extensively with frequent publication venues including:

  • arXiv (Cornell University)
  • IEEE Transactions on Wireless Communications
  • IEEE Journal on Selected Areas in Communications
  • IEEE Internet of Things Journal
  • IEEE Communications Magazine

Notable recent papers include:

  • Toward an Intelligent Edge: Wireless Communication Meets Machine Learning (2020), IEEE Communications Magazine
  • One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis (2020), IEEE Transactions on Wireless Communications
  • Over-the-Air Computing for Wireless Data Aggregation in Massive IoT (2021), IEEE Wireless Communications

Their work has also been connected through collaboration with frequent co-authors such as:

  • Shuguang Cui
  • Kaibin Huang
  • Jie Xu
  • Xiaoyang Li
  • Dingzhu Wen

Best Publications

  • Broadband Analog Aggregation for Low-Latency Federated Edge Learning

    Guangxu Zhu;Yong Wang;Kaibin Huang

  • Toward an Intelligent Edge: Wireless Communication Meets Machine Learning

    Guangxu Zhu;Dongzhu Liu;Yuqing Du;Changsheng You

  • One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis

    Guangxu Zhu;Yuqing Du;Deniz Gunduz;Kaibin Huang

  • MIMO Over-the-Air Computation for High-Mobility Multimodal Sensing

    Guangxu Zhu;Kaibin Huang

  • Optimized Power Control for Over-the-Air Computation in Fading Channels

    Xiaowen Cao;Guangxu Zhu;Jie Xu;Kaibin Huang

  • Over-the-Air Computing for Wireless Data Aggregation in Massive IoT

    Guangxu Zhu;Jie Xu;Kaibin Huang;Shuguang Cui

  • Joint Maneuver and Beamforming Design for UAV-Enabled Integrated Sensing and Communication

    Unknown

  • Pushing AI to wireless network edge: an overview on integrated sensing, communication, and computation towards 6G

    Unknown

  • Wireless Information and Power Transfer in Relay Systems With Multiple Antennas and Interference

    Guangxu Zhu;Caijun Zhong;Himal A. Suraweera;George K. Karagiannidis

  • Optimized Power Control Design for Over-the-Air Federated Edge Learning

    Xiaowen Cao;Guangxu Zhu;Jie Xu;Zhiqin Wang

  • Wirelessly Powered Data Aggregation for IoT via Over-the-Air Function Computation: Beamforming and Power Control

    Xiaoyang Li;Guangxu Zhu;Yi Gong;Kaibin Huang

  • Integrated Sensing, Communication, and Computation Over-the-Air: MIMO Beamforming Design

    Unknown

  • Transmission Power Control for Over-the-Air Federated Averaging at Network Edge.

    Xiaowen Cao;Guangxu Zhu;Jie Xu;Shuguang Cui

  • Hybrid Beamforming via the Kronecker Decomposition for the Millimeter-Wave Massive MIMO Systems

    Guangxu Zhu;Kaibin Huang;Vincent K. N. Lau;Bin Xia

  • Reduced-Dimension Design of MIMO Over-the-Air Computing for Data Aggregation in Clustered IoT Networks

    Dingzhu Wen;Guangxu Zhu;Kaibin Huang

  • Some new research trends in wirelessly powered communications

    Kaibin Huang;Caijun Zhong;Guangxu Zhu

  • Data-Importance Aware User Scheduling for Communication-Efficient Edge Machine Learning

    Dongzhu Liu;Guangxu Zhu;Jun Zhang;Kaibin Huang

  • Cooperative Interference Management for Over-the-Air Computation Networks

    Xiaowen Cao;Guangxu Zhu;Jie Xu;Kaibin Huang

  • Ergodic Capacity Comparison of Different Relay Precoding Schemes in Dual-Hop AF Systems With Co-Channel Interference

    Guangxu Zhu;Caijun Zhong;Himal A. Suraweera;Zhaoyang Zhang

  • Outage Probability of Dual-Hop Multiple Antenna AF Systems with Linear Processing in the Presence of Co-Channel Interference

    Guangxu Zhu;Caijun Zhong;Himal A. Suraweera;Zhaoyang Zhang

  • Low-Latency Broadband Analog Aggregation for Federated Edge Learning.

    Guangxu Zhu;Yong Wang;Kaibin Huang

  • Inference From Randomized Transmissions by Many Backscatter Sensors

    Guangxu Zhu;Seung-Woo Ko;Kaibin Huang

  • Towards an Intelligent Edge: Wireless Communication Meets Machine Learning

    Guangxu Zhu;Dongzhu Liu;Yuqing Du;Changsheng You

  • MIMO Over-the-Air Computation for High-Mobility Multi-Modal Sensing

    Guangxu Zhu;Kaibin Huang

Frequent Co-Authors

Kaibin Huang
Kaibin Huang University of Hong Kong
Caijun Zhong
Caijun Zhong Zhejiang University
Jie Xu
Jie Xu Chinese University of Hong Kong, Shenzhen
Jun Zhang
Jun Zhang Hong Kong University of Science and Technology
Zhaoyang Zhang
Zhaoyang Zhang Zhejiang University
Himal A. Suraweera
Himal A. Suraweera University of Peradeniya
Shuguang Cui
Shuguang Cui Chinese University of Hong Kong, Shenzhen
Chau Yuen
Chau Yuen Nanyang Technological University
Vincent K. N. Lau
Vincent K. N. Lau Hong Kong University of Science and Technology
Bin Xia
Bin Xia Shanghai Jiao Tong University

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