World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
37
Citations
5179
World Ranking
5169
National Ranking
151

Computer Science

D-Index
38
Citations
5038
World Ranking
10369
National Ranking
316

Qinghua Guo 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 Qinghua Guo 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: 270 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Qinghua Guo 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 Qinghua Guo 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Qinghua Guo is affiliated with the University of Wollongong in Australia and primarily works within the fields of Engineering and Computer Science. Their research contributions span several specialized subfields including Electrical and Electronic Engineering, Aerospace Engineering, Computer Networks and Communications, Signal Processing, and Biomedical Engineering.

The scientist's notable research topics include:

  • Advanced Wireless Communication Technologies
  • Indoor and Outdoor Localization Technologies
  • Radar Systems and Signal Processing
  • Sparse and Compressive Sensing Techniques
  • Advanced MIMO Systems Optimization
  • PAPR reduction in OFDM
  • Blind Source Separation Techniques

Qinghua Guo has published extensively across multiple venues, with frequent contributions to:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Vehicular Technology
  • IEEE Wireless Communications Letters
  • SSRN Electronic Journal

Among recent publications, the following papers demonstrate the scope of their work:

  • User Activity Detection and Channel Estimation for Grant-Free Random Access in LEO Satellite-Enabled Internet of Things, 2020, IEEE Internet of Things Journal
  • Iterative Detection for Orthogonal Time Frequency Space Modulation With Unitary Approximate Message Passing, 2021, IEEE Transactions on Wireless Communications
  • Joint Channel Estimation and Signal Recovery for RIS-Empowered Multiuser Communications, 2022, IEEE Transactions on Communications
  • Message Passing-Based Structured Sparse Signal Recovery for Estimation of OTFS Channels With Fractional Doppler Shifts, 2021, IEEE Transactions on Wireless Communications
  • Accurate and efficient remaining useful life prediction of batteries enabled by physics-informed machine learning, 2024, Journal of Energy Chemistry

Their frequent collaborators include Ming Jin, Yanguang Yu, Zhengdao Yuan, Jiangtao Xi, and Zhongyong Wang. Collaborative research with these peers has contributed to a steady output of scientific papers and advancements in their fields.

Best Publications

  • Low-Complexity Iterative Detection for Large-Scale Multiuser MIMO-OFDM Systems Using Approximate Message Passing

    Sheng Wu;Linling Kuang;Zuyao Ni;Jianhua Lu

  • The OFDM-IDMA approach to wireless communication systems

    Li Ping;Qinghua Guo;Jun Tong

  • Joint Channel Estimation and Signal Recovery for RIS-Empowered Multiuser Communications

    Unknown

  • User Activity Detection and Channel Estimation for Grant-Free Random Access in LEO Satellite-Enabled Internet of Things

    Zhaoji Zhang;Ying Li;Chongwen Huang;Qinghua Guo

  • LMMSE turbo equalization based on factor graphs

    Qinghua Guo;Li Ping

  • Iterative Detection for Orthogonal Time Frequency Space Modulation with Unitary Approximate Message Passing

    Zhengdao Yuan;Fei Liu;Weijie Yuan;Qinghua Guo

  • Evolution analysis of low-cost iterative equalization in coded linear systems with cyclic prefixes

    Xiaojun Yuan;Qinghua Guo;Xiaodong Wang;Li Ping

  • New approach to improve the accuracy of 3-D shape measurement of moving object using phase shifting profilometry

    Lei Lu;Jiangtao Xi;Yanguang Yu;Qinghua Guo

  • A Concise Representation for the Soft-in Soft-out LMMSE Detector

    Qinghua Guo;Defeng David Huang

  • Block Sparse Bayesian Learning Based Joint User Activity Detection and Channel Estimation for Grant-Free NOMA Systems

    Yuanyuan Zhang;Qinghua Guo;Zhongyong Wang;Jiangtao Xi

  • Message Passing Based Structured Sparse Signal Recovery for Estimation of OTFS Channels with Fractional Doppler Shifts

    Fei Liu;Zhengdao Yuan;Qinghua Guo;Zhongyong Wang

  • A low-complexity iterative channel estimation and detection technique for doubly selective channels

    Qinghua Guo;Li Ping;Defeng Huang

  • Iterative Receivers for Downlink MIMO-SCMA: Message Passing and Distributed Cooperative Detection

    Weijie Yuan;Nan Wu;Qinghua Guo;Yonghui Li

  • Deep Clipping for Impulsive Noise Mitigation in OFDM-Based Power-Line Communications

    Filbert H. Juwono;Qinghua Guo;Defeng Huang;Kit Po Wong

  • Superposition coded modulation and iterative linear MMSE detection

    Li Ping;Jun Tong;Xiaojun Yuan;Qinghua Guo

  • Label enhanced and patch based deep learning for phase retrieval from single frame fringe pattern in fringe projection 3D measurement.

    Jiashuo Shi;Xinjun Zhu;Hongyi Wang;Limei Song

  • Direction-of-Arrival Estimation in the Presence of Unknown Nonuniform Noise Fields

    Yuntao Wu;Chaohuan Hou;Guisheng Liao;Qinghua Guo

  • DNN-Aided Block Sparse Bayesian Learning for User Activity Detection and Channel Estimation in Grant-Free Non-Orthogonal Random Access

    Zhaoji Zhang;Ying Li;Chongwen Huang;Qinghua Guo

  • TOA-Based Passive Localization Constructed Over Factor Graphs: A Unified Framework

    Weijie Yuan;Nan Wu;Qinghua Guo;Xiaojing Huang

  • Iterative Joint Channel Estimation, User Activity Tracking, and Data Detection for FTN-NOMA Systems Supporting Random Access

    Weijie Yuan;Nan Wu;Qinghua Guo;Derrick Wing Kwan Ng

  • Approximate Message Passing with Unitary Transformation

    Qinghua Guo;Jiangtao Xi

  • A Low-Complexity Iterative Channel Estimation and Detection Technique for Doubly Selective Channels

    Qinghua Guo;Ping Li

Frequent Co-Authors

Jiangtao Xi
Jiangtao Xi University of Wollongong
Li Ping
Li Ping City University of Hong Kong
Sven Nordholm
Sven Nordholm Curtin University
Weijie Yuan
Weijie Yuan Southern University of Science and Technology
Xiaojun Yuan
Xiaojun Yuan University of Electronic Science and Technology of China
Chau Yuen
Chau Yuen Nanyang Technological University
Guisheng Liao
Guisheng Liao Xidian University
yong liang guan
yong liang guan Nanyang Technological University
Yonghui Li
Yonghui Li University of Sydney
Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science

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