World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
77
Citations
28333
World Ranking
597
National Ranking
94

Computer Science

D-Index
79
Citations
29071
World Ranking
1131
National Ranking
161

Shuguang Cui 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 Shuguang Cui 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: 380 publications — 72nd percentile

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

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

Shuguang Cui 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 Shuguang Cui 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: 77 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Overview

Shuguang Cui is affiliated with the Chinese University of Hong Kong, Shenzhen in China. Their research spans fields including Computer Science and Engineering, with significant contributions to Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, and Aerospace Engineering.

The scientist's work frequently addresses advanced topics such as Privacy-Preserving Technologies in Data, Advanced Neural Network Applications, Advanced Wireless Communication Technologies, Indoor and Outdoor Localization Technologies, Advanced MIMO Systems Optimization, 3D Shape Modeling and Analysis, and Energy Harvesting in Wireless Networks.

Shuguang Cui has authored multiple papers, with notable recent publications including:

  • A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks (2020), IEEE Transactions on Wireless Communications
  • Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications: Framework, Algorithms, and Analysis (2020), IEEE Transactions on Wireless Communications
  • Convergence Time Optimization for Federated Learning Over Wireless Networks (2020), IEEE Transactions on Wireless Communications
  • Communication-efficient federated learning (2021), Proceedings of the National Academy of Sciences
  • Federated Learning for 6G: Applications, Challenges, and Opportunities (2021), Engineering

Frequent co-authors working with Shuguang Cui include Mingzhe Chen, H. Vincent Poor, Zhen Li, Xiaoguang Han, and Guangxu Zhu.

The scientist's publications appear in several key venues, among them:

  • arXiv (Cornell University)
  • IEEE Transactions on Wireless Communications
  • IEEE Internet of Things Journal
  • IEEE Journal on Selected Areas in Communications
  • Proceedings of the AAAI Conference on Artificial Intelligence

Shuguang Cui has also contributed to academic books published by Springer International Publishing. Titles include "Machine Learning Algorithms" (2022) and "Communication Efficient Federated Learning for Wireless Networks" (2024).

Best Publications

  • Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks

    Shuguang Cui;A.J. Goldsmith;A. Bahai

  • Energy-constrained modulation optimization

    Shuguang Cui;A.J. Goldsmith;A. Bahai

  • A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks

    Mingzhe Chen;Zhaohui Yang;Walid Saad;Changchuan Yin

  • Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks

    Zhi Quan;Shuguang Cui;A.H. Sayed

  • Joint Offloading and Computing Optimization in Wireless Powered Mobile-Edge Computing Systems

    Feng Wang;Jie Xu;Xin Wang;Shuguang Cui

  • Optimal Multiband Joint Detection for Spectrum Sensing in Cognitive Radio Networks

    Zhi Quan;Shuguang Cui;A.H. Sayed;H.V. Poor

  • Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications: Framework, Algorithms, and Analysis

    Zhaorui Wang;Liang Liu;Shuguang Cui

  • Optimal beamforming for two-way multi-antenna relay channel with analogue network coding

    Rui Zhang;Ying-Chang Liang;Chin Choy Chai;Shuguang Cui

  • Cross-Layer Design for Lifetime Maximization in Interference-Limited Wireless Sensor Networks

    R. Madan;S. Cui;S. Lal;A. Goldsmith

  • Collaborative wideband sensing for cognitive radios

    Zhi Quan;Shuguang Cui;H. Poor;A. Sayed

  • Price-Based Spectrum Management in Cognitive Radio Networks

    Fan Wang;M. Krunz;Shuguang Cui

  • Throughput Maximization for the Gaussian Relay Channel with Energy Harvesting Constraints

    Chuan Huang;Rui Zhang;Shuguang Cui

  • Power scheduling of universal decentralized estimation in sensor networks

    Jin-Jun Xiao;Shuguang Cui;Zhi-Quan Luo;A.J. Goldsmith

  • Energy-Efficient Cooperative Communication Based on Power Control and Selective Single-Relay in Wireless Sensor Networks

    Zhong Zhou;Shengli Zhou;Jun-Hong Cui;Shuguang Cui

  • Dynamic Resource Allocation in Cognitive Radio Networks

    Rui Zhang;Ying-chang Liang;Shuguang Cui

  • Estimation Diversity and Energy Efficiency in Distributed Sensing

    Shuguang Cui;Jin-Jun Xiao;A.J. Goldsmith;Zhi-Quan Luo

  • Cooperative Interference Management With MISO Beamforming

    Rui Zhang;Shuguang Cui

  • Joint Computation and Communication Cooperation for Energy-Efficient Mobile Edge Computing

    Xiaowen Cao;Feng Wang;Jie Xu;Rui Zhang

  • Dynamic Resource Allocation in Cognitive Radio Networks: A Convex Optimization Perspective

    Rui Zhang;Ying-Chang Liang;Shuguang Cui

  • Communication-efficient federated learning.

    Mingzhe Chen;Mingzhe Chen;Nir Shlezinger;H. Vincent Poor;Yonina C. Eldar

  • Linear Coherent Decentralized Estimation

    Jin-Jun Xiao;Shuguang Cui;Zhi-Quan Luo;A.J. Goldsmith

  • Cross-layer design for lifetime maximization in interference-limited wireless sensor networks

    R. Madan;Shuguang Cui;S. Lall;A. Goldsmith

Frequent Co-Authors

Rui Zhang
Rui Zhang National University of Singapore
Andrea Goldsmith
Andrea Goldsmith Stony Brook University
H. Vincent Poor
H. Vincent Poor Princeton University
Liuqing Yang
Liuqing Yang Hong Kong University of Science and Technology
Soummya Kar
Soummya Kar Carnegie Mellon University
Zhi-Quan Luo
Zhi-Quan Luo Chinese University of Hong Kong, Shenzhen
Xiang Cheng
Xiang Cheng Peking University
Changchuan Yin
Changchuan Yin Beijing University of Posts and Telecommunications
Walid Saad
Walid Saad Virginia Tech
Mingzhe Chen
Mingzhe Chen University of Miami

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