World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 37 5169 4963 151 149 270 5179
Computer Science 38 10369 10078 316 315 245 5038

Qinghua Guo publications per year

The chart shows the history of publications by Qinghua Guo between 2003 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Qinghua Guo published across 23 years, from 2003 to 2025, averaging 18.7 papers a year. Output peaked at 52 publications in 2025. 90 of the 431 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 2003 to 2025. Vertical axis: number of publications, 0 to 52. Peak 52 publications in 2025. 2003: 1 publication 2004: 1 publication 2005: 3 publications 2006: 2 publications 2007: 3 publications 2008: 9 publications 2009: 2 publications 2010: 3 publications 2011: 4 publications 2012: 6 publications 2013: 8 publications 2014: 27 publications 2015: 23 publications 2016: 23 publications 2017: 25 publications 2018: 36 publications 2019: 32 publications 2020: 17 publications 2021: 33 publications 2022: 35 publications 2023: 48 publications 2024: 38 publications 2025: 52 publications
2003 2025

431 publications in total across all disciplines

View publications per year as a table
Qinghua Guo: publications per year, 2003 to 2025
Year Publications
2003 1
2004 1
2005 3
2006 2
2007 3
2008 9
2009 2
2010 3
2011 4
2012 6
2013 8
2014 27
2015 23
2016 23
2017 25
2018 36
2019 32
2020 17
2021 33
2022 35
2023 48
2024 38
2025 52
Total 431
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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.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 254–273 publications, is where this scientist sits. 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
34–53 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.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366 270
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
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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.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 37 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220 37
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
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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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