World's Best Scientists 2026 revealed!
Guoqiang Mao

Guoqiang Mao

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
55
Citations
14567
World Ranking
2145
National Ranking
367

Computer Science

D-Index
55
Citations
14650
World Ranking
4246
National Ranking
567

Guoqiang Mao 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 Guoqiang Mao 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: 302 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Guoqiang Mao 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 Guoqiang Mao 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: 55 D-Index — 69th percentile

69% 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

  • 2018 - IEEE Fellow For contributions to localization algorithms for wireless networks

Overview

Guoqiang Mao is affiliated with Xidian University in China and has an extensive record of research publications primarily in engineering and computer science. The scientist's work chiefly spans the fields of electrical and electronic engineering, building and construction, computer networks and communications, artificial intelligence, and control and systems engineering.

Their research covers several technical topics, including:

  • Traffic Prediction and Management Techniques
  • Advanced MIMO Systems Optimization
  • Indoor and Outdoor Localization Technologies
  • Vehicular Ad Hoc Networks (VANETs)
  • Traffic control and management
  • Millimeter-Wave Propagation and Modeling
  • IoT and Edge/Fog Computing

Guoqiang Mao has published frequently in these venues:

  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Vehicular Technology
  • arXiv (Cornell University)
  • IEEE Transactions on Wireless Communications
  • IEEE Internet of Things Journal

Notable recent papers include:

  • "On-Ramp Merging Strategies of Connected and Automated Vehicles Considering Communication Delay," 2022, IEEE Transactions on Intelligent Transportation Systems
  • "Latency and Reliability of mmWave Multi-Hop V2V Communications Under Relay Selections," 2020, IEEE Transactions on Vehicular Technology
  • "Congestion Propagation Based Bottleneck Identification in Urban Road Networks," 2020, IEEE Transactions on Vehicular Technology
  • "MagMonitor: Vehicle Speed Estimation and Vehicle Classification Through A Magnetic Sensor," 2020, IEEE Transactions on Intelligent Transportation Systems
  • "Principal Component Analysis-Based Broadband Hybrid Precoding for Millimeter-Wave Massive MIMO Systems," 2020, IEEE Transactions on Wireless Communications

The scientist collaborates regularly with colleagues such as Changle Li, Baoqi Huang, Bing Jia, Xiaohu Ge, and Yilong Hui, with multiple joint publications contributing to the development of their research fields.

Guoqiang Mao's contributions have been recognized through awards including the IEEE Fellow distinction awarded in 2018 for contributions to localization algorithms for wireless networks.

Best Publications

  • Wireless sensor network localization techniques

    Guoqiang Mao;Barış Fidan;Brian D. O. Anderson

  • 5G Ultra-Dense Cellular Networks

    Xiaohu Ge;Song Tu;Guoqiang Mao;Cheng-Xiang Wang

  • Relay technologies for WiMax and LTE-advanced mobile systems

    Yang Yang;Honglin Hu;Jing Xu;Guoqiang Mao

  • Direction-of-Arrival Estimation for Coprime Array via Virtual Array Interpolation

    Chengwei Zhou;Yujie Gu;Xing Fan;Zhiguo Shi

  • New Multi-Hop Clustering Algorithm for Vehicular Ad Hoc Networks

    Degan Zhang;Hui Ge;Ting Zhang;Yu-Ya Cui

  • Performance Impact of LoS and NLoS Transmissions in Dense Cellular Networks

    Ming Ding;Peng Wang;David Lopez-Perez;Guoqiang Mao

  • Path loss exponent estimation for wireless sensor network localization

    Guoqiang Mao;Brian D. O. Anderson;Barış Fidan

  • Spatial Spectrum and Energy Efficiency of Random Cellular Networks

    Xiaohu Ge;Bin Yang;Junliang Ye;Guoqiang Mao

  • Localization Algorithms and Strategies for Wireless Sensor Networks

    Guoqiang Mao;Baris Fidan

  • Localization Algorithms and Strategies for Wireless Sensor Networks: Monitoring and Surveillance Techniques for Target Tracking

    Guoqiang Mao;Baris Fidan

  • Capacity of Cooperative Vehicular Networks with Infrastructure Support: Multiuser Case

    Jieqiong Chen;Guoqiang Mao;Changle Li;Weifa Liang

  • Bearing-Only Localization using Geometrically Constrained Optimization

    A.N. Bishop;B.D.O. Anderson;B. Fidan;P.N. Pathirana

  • Vehicular Communications for 5G Cooperative Small-Cell Networks

    Xiaohu Ge;Hui Cheng;Guoqiang Mao;Yang Yang

  • Analysis of Access and Connectivity Probabilities in Vehicular Relay Networks

    Seh Chun Ng;Wuxiong Zhang;Yu Zhang;Yang Yang

  • Design of an Extended Kalman Filter for UAV Localization

    Guoqiang Mao;S. Drake;B.D.O. Anderson

  • Multi-Hop Connectivity Probability in Infrastructure-Based Vehicular Networks

    Wuxiong Zhang;Yu Chen;Yang Yang;Xiangyang Wang

  • Simulated Annealing based Wireless Sensor Network Localization with Flip Ambiguity Mitigation

    A.A. Kannan;Guoqiang Mao;B. Vucetic

  • Multipath Cooperative Communications Networks for Augmented and Virtual Reality Transmission

    Xiaohu Ge;Linghui Pan;Qiang Li;Guoqiang Mao

  • Optimal Base Station Antenna Downtilt in Downlink Cellular Networks

    Junnan Yang;Ming Ding;Guoqiang Mao;Zihuai Lin

  • Simulated annealing based localization in wireless sensor network

    A.A. Kannan;Guoqiang Mao;B. Vucetic

  • Performance Impact of LoS and NLoS Transmissions in Small Cell Networks

    Ming Ding;Peng Wang;David López-Pérez;Guoqiang Mao

  • Capacity of Cooperative Vehicular Networks with Infrastructure Support: Multi-user Case

    Jieqiong Chen;Guoqiang Mao;Changle Li;Weifa Liang

Frequent Co-Authors

Zihuai Lin
Zihuai Lin University of Sydney
Brian D. O. Anderson
Brian D. O. Anderson Australian National University
Ming Ding
Ming Ding Commonwealth Scientific and Industrial Research Organisation
Xiaohu Ge
Xiaohu Ge Huazhong University of Science and Technology
David Lopez-Perez
David Lopez-Perez Universitat Politècnica de València
Baris Fidan
Baris Fidan University of Waterloo
Wei Zhang
Wei Zhang University of New South Wales
Branka Vucetic
Branka Vucetic University of Sydney
Xiaofeng Tao
Xiaofeng Tao Beijing University of Posts and Telecommunications
Daryoush Habibi
Daryoush Habibi Edith Cowan University

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