World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
65
Citations
16424
World Ranking
1213
National Ranking
210

Guan Gui 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 Guan Gui 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: 429 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Guan Gui 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 Guan Gui 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: 65 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Overview

Guan Gui is affiliated with Nanjing University of Posts and Telecommunications in China. Their research is primarily situated at the intersection of engineering and computer science, with a significant focus on electrical and electronic engineering as well as artificial intelligence.

Their work spans a range of subfields including aerospace engineering, computer networks and communications, and signal processing. The main research topics covered by Guan Gui include wireless signal modulation classification, advanced wireless communication technologies, internet traffic analysis and secure e-voting, network security and intrusion detection, radar systems and signal processing, advanced MIMO systems optimization, and indoor and outdoor localization technologies.

Guan Gui has contributed to several notable papers, including:

  • 6G: Opening New Horizons for Integration of Comfort, Security, and Intelligence, 2020, IEEE Wireless Communications
  • A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends, and Challenges, 2021, IEEE Communications Surveys & Tutorials
  • Federated Deep Learning for Zero-Day Botnet Attack Detection in IoT-Edge Devices, 2021, IEEE Internet of Things Journal
  • Large-scale real-world radio signal recognition with deep learning, 2021, Chinese Journal of Aeronautics
  • LightAMC: Lightweight Automatic Modulation Classification via Deep Learning and Compressive Sensing, 2020, IEEE Transactions on Vehicular Technology

Frequent co-authors with whom Guan Gui has collaborated include Yu Wang, Hikmet Sari, Haris Gacanin, Fumiyuki Adachi, and Yun Lin. This network of collaborators suggests active engagement in multidisciplinary and international research efforts.

Their research outputs have been predominantly published in venues such as:

  • IEEE Internet of Things Journal
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Cognitive Communications and Networking
  • arXiv (Cornell University)
  • IEEE Transactions on Information Forensics and Security

Guan Gui's expertise in wireless communication technologies is documented through their comprehensive exploration of both theoretical and applied aspects of signal modulation and network security. Their contributions to advanced wireless communication technologies and modulation classification reflect engagement with emerging trends such as 6G integration and resource allocation challenges in 5G networks.

Best Publications

  • Deep Learning for Super-Resolution Channel Estimation and DOA Estimation Based Massive MIMO System

    Hongji Huang;Jie Yang;Hao Huang;Yiwei Song

  • Data-Driven Deep Learning for Automatic Modulation Recognition in Cognitive Radios

    Yu Wang;Miao Liu;Jie Yang;Guan Gui

  • 6G: Opening New Horizons for Integration of Comfort, Security, and Intelligence

    Guan Gui;Miao Liu;Fengxiao Tang;Nei Kato

  • A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends, and Challenges

    Yongjun Xu;Guan Gui;Haris Gacanin;Fumiyuki Adachi

  • Deep Learning for an Effective Nonorthogonal Multiple Access Scheme

    Guan Gui;Hongji Huang;Yiwei Song;Hikmet Sari

  • Deep-Learning-Based Millimeter-Wave Massive MIMO for Hybrid Precoding

    Hongji Huang;Yiwei Song;Jie Yang;Guan Gui

  • Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions

    Hongji Huang;Song Guo;Guan Gui;Zhen Yang

  • Caching UAV Assisted Secure Transmission in Hyper-Dense Networks Based on Interference Alignment

    Nan Zhao;Fen Cheng;F. Richard Yu;Jie Tang

  • Federated Deep Learning for Zero-Day Botnet Attack Detection in IoT Edge Devices

    Segun I. Popoola;Ruth Ande;Bamidele Adebisi;Guan Gui

  • Deep Cognitive Perspective: Resource Allocation for NOMA-Based Heterogeneous IoT With Imperfect SIC

    Miao Liu;Tiecheng Song;Guan Gui

  • Large-scale real-world radio signal recognition with deep learning

    Ya Tu;Yun Lin;Haoran Zha;Ju Zhang

  • UAV-Relaying-Assisted Secure Transmission With Caching

    Fen Cheng;Guan Gui;Nan Zhao;Yunfei Chen

  • Fast Beamforming Design via Deep Learning

    Hao Huang;Yang Peng;Jie Yang;Wenchao Xia

  • LightAMC: Lightweight Automatic Modulation Classification via Deep Learning and Compressive Sensing

    Yu Wang;Jie Yang;Miao Liu;Guan Gui

  • An Efficient Specific Emitter Identification Method Based on Complex-Valued Neural Networks and Network Compression

    Yu Wang;Guan Gui;Haris Gacanin;Tomoaki Ohtsuki

  • Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments

    Wentao Ma;Hua Qu;Guan Gui;Li Xu

  • DSF-NOMA: UAV-Assisted Emergency Communication Technology in a Heterogeneous Internet of Things

    Miao Liu;Jie Yang;Guan Gui

  • Behavioral Modeling and Linearization of Wideband RF Power Amplifiers Using BiLSTM Networks for 5G Wireless Systems

    Jinlong Sun;Wenjuan Shi;Zhutian Yang;Jie Yang

  • Deep Learning-Inspired Message Passing Algorithm for Efficient Resource Allocation in Cognitive Radio Networks

    Miao Liu;Tiecheng Song;Jing Hu;Jie Yang

  • Transceiver Design and Multihop D2D for UAV IoT Coverage in Disasters

    Xiaonan Liu;Zan Li;Nan Zhao;Weixiao Meng

  • HERO: Human Emotions Recognition for Realizing Intelligent Internet of Things

    Wentao Hua;Fei Dai;Liya Huang;Jian Xiong

  • Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments

    Wentao Ma;Hua Qua;Guan Gui;Li Xu

Frequent Co-Authors

Fumiyuki Adachi
Fumiyuki Adachi Tohoku University
Hikmet Sari
Hikmet Sari Nanjing University of Posts and Telecommunications
Haris Gacanin
Haris Gacanin RWTH Aachen University
Tomoaki Ohtsuki
Tomoaki Ohtsuki Keio University
Bamidele Adebisi
Bamidele Adebisi Manchester Metropolitan University
Li Xu
Li Xu Tsinghua University
Nan Zhao
Nan Zhao Dalian University of Technology
Yunfei Chen
Yunfei Chen University of Warwick
Badong Chen
Badong Chen Xi'an Jiaotong University
Zhangxin Chen
Zhangxin Chen University of Calgary

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