World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
35
Citations
5341
World Ranking
5551
National Ranking
802

Jun-Bo Wang 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 Jun-Bo Wang 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: 176 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Jun-Bo Wang 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 Jun-Bo Wang 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: 35 D-Index — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Overview

Jun-Bo Wang is affiliated with Southeast University in China and specializes in fields related to engineering and computer science. Their research spans over 300 publications, with a concentration on electrical and electronic engineering as well as aerospace engineering. Additional areas of study include computer networks and communications, artificial intelligence, and materials chemistry.

The scientist's research topics primarily focus on advanced wireless communication technologies, satellite communication systems, and UAV (unmanned aerial vehicle) applications and optimization. Other notable subjects in their work include advanced MIMO (multiple-input multiple-output) systems optimization, antenna design and analysis, optical wireless communication technologies, and IoT (Internet of Things) networks and protocols.

Jun-Bo Wang has published frequently in prominent venues, demonstrating a sustained contribution to their fields. Key publication venues include:

  • IEEE Transactions on Communications
  • IEEE Transactions on Vehicular Technology
  • arXiv (Cornell University)
  • IEEE Transactions on Wireless Communications
  • 2021 13th International Conference on Wireless Communications and Signal Processing (WCSP)

Some recent papers by Jun-Bo Wang include:

  • Supporting IoT With Rate-Splitting Multiple Access in Satellite and Aerial-Integrated Networks, 2021, IEEE Internet of Things Journal
  • Joint Beamforming and Trajectory Optimization for Intelligent Reflecting Surfaces-Assisted UAV Communications, 2020, IEEE Access
  • Joint Optimization of Transmission and Computation Resources for Satellite and High Altitude Platform Assisted Edge Computing, 2021, IEEE Transactions on Wireless Communications
  • Energy Efficient Beamforming Schemes for Satellite-Aerial-Terrestrial Networks, 2020, IEEE Transactions on Communications
  • Hovering UAV-Based FSO Communications: Channel Modelling, Performance Analysis, and Parameter Optimization, 2021, IEEE Journal on Selected Areas in Communications

Throughout their career, Jun-Bo Wang has collaborated frequently with several researchers, including Min Lin, Hua Zhang, Hongkang Yu, Jiangzhou Wang, and Yijin Pan. These collaborations have contributed to the breadth and depth of Wang's scholarly work.

Best Publications

  • Supporting IoT With Rate-Splitting Multiple Access in Satellite and Aerial-Integrated Networks

    Zhi Lin;Min Lin;Tomaso de Cola;Jun-Bo Wang

  • Joint Beamforming and Power Allocation for Satellite-Terrestrial Integrated Networks With Non-Orthogonal Multiple Access

    Zhi Lin;Min Lin;Jun-Bo Wang;Tomaso de Cola

  • Tight Bounds on Channel Capacity for Dimmable Visible Light Communications

    Jun-Bo Wang;Qing-Song Hu;Jiangzhou Wang;Ming Chen

  • Performance Analysis of Multi-Antenna Hybrid Satellite-Terrestrial Relay Networks in the Presence of Interference

    Kang An;Min Lin;Tao Liang;Jun-Bo Wang

  • Joint Beamforming for Secure Communication in Cognitive Satellite Terrestrial Networks

    Min Lin;Zhi Lin;Wei-Ping Zhu;Jun-Bo Wang

  • Joint Beamforming and Trajectory Optimization for Intelligent Reflecting Surfaces-Assisted UAV Communications

    Linghui Ge;Peihao Dong;Hua Zhang;Jun-Bo Wang

  • Robust Secure Beamforming for 5G Cellular Networks Coexisting With Satellite Networks

    Zhi Lin;Min Lin;Jun-Bo Wang;Yongming Huang

  • Joint MIMO Precoding and Computation Resource Allocation for Dual-Function Radar and Communication Systems With Mobile Edge Computing

    Unknown

  • A Machine Learning Framework for Resource Allocation Assisted by Cloud Computing

    Jun-Bo Wang;Junyuan Wang;Yongpeng Wu;Jin-Yuan Wang

  • Physical-Layer Security for Indoor Visible Light Communications: Secrecy Capacity Analysis

    Jin-Yuan Wang;Cheng Liu;Jun-Bo Wang;Yongpeng Wu

  • Hovering UAV-Based FSO Communications: Channel Modelling, Performance Analysis, and Parameter Optimization

    Jin-Yuan Wang;Yang Ma;Rong-Rong Lu;Jun-Bo Wang

  • Performance Analysis of Hybrid Satellite-Terrestrial Cooperative Networks With Relay Selection

    Kefeng Guo;Min Lin;Bangning Zhang;Jun-Bo Wang

  • Energy Efficient Beamforming Schemes for Satellite-Aerial-Terrestrial Networks

    Qingquan Huang;Min Lin;Jun-Bo Wang;Theodoros A. Tsiftsis

  • On the Performance of LMS Communication With Hardware Impairments and Interference

    Kefeng Guo;Min Lin;Bangning Zhang;Wei-Ping Zhu

  • Outage Analysis for Relay-Aided Free-Space Optical Communications Over Turbulence Channels With Nonzero Boresight Pointing Errors

    Jin-Yuan Wang;Jun-Bo Wang;Ming Chen;Yang Tang

  • Robust Secure Beamforming for Wireless Powered Cognitive Satellite-Terrestrial Networks

    Zhi Lin;Min Lin;Wei-Ping Zhu;Jun-Bo Wang

  • Joint Optimization of Trajectory and Communication Resource Allocation for Unmanned Surface Vehicle Enabled Maritime Wireless Networks

    Cheng Zeng;Jun-Bo Wang;Changfeng Ding;Hua Zhang

  • Secure Transmission With Large Numbers of Antennas and Finite Alphabet Inputs

    Yongpeng Wu;Jun-Bo Wang;Jue Wang;Robert Schober

  • Coverage Analysis for Millimeter Wave Cellular Networks With Imperfect Beam Alignment

    Ming Cheng;Jun-Bo Wang;Yongpeng Wu;Xiang-Gen Xia

  • Integrated 5G-Satellite Networks: A Perspective on Physical Layer Reliability and Security

    Min Lin;Qingquan Huang;Tomaso de Cola;Jun-Bo Wang

  • Highly Efficient Optical Beam Steering Using an In-Fiber Diffraction Grating for Full Duplex Indoor Optical Wireless Communication

    Guoqing Wang;Usman Habib;Zhijun Yan;Nathan J. Gomes

  • Joint Optimization of Offloading and Resources Allocation in Secure Mobile Edge Computing Systems

    Jun-Bo Wang;Hui Yang;Ming Cheng;Jin-Yuan Wang

Frequent Co-Authors

Min Lin
Min Lin Nanjing University of Posts and Telecommunications
Jiangzhou Wang
Jiangzhou Wang University of Kent
Yongpeng Wu
Yongpeng Wu Shanghai Jiao Tong University
Ming Cheng
Ming Cheng Southeast University
Julian Cheng
Julian Cheng University of British Columbia
Wei-Ping Zhu
Wei-Ping Zhu Concordia University
Xiaoyu Song
Xiaoyu Song Portland State University
Chengshan Xiao
Chengshan Xiao Lehigh University
Yongming Huang
Yongming Huang Southeast University
Kang An
Kang An National University of Defense Technology

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Related Online Degrees & Career Pathways

Students pursuing Electronics and Electrical Engineering can broaden their expertise through various related online degrees and programs. For instance, obtaining a project management bachelor degree online complements technical skills with leadership and organizational abilities, essential for managing engineering projects.

Many working professionals benefit from accelerated online degrees, which offer flexible schedules and faster completion times, enabling learners to advance their qualifications without pausing their careers.

Moreover, an online masters in instructional design can be valuable for those interested in training, curriculum development, or educational technology within engineering fields.

Competency-based education also plays a significant role, with competency based programs allowing students to progress by demonstrating mastery of skills at their own pace, which aligns well with the hands-on learning style typical in engineering disciplines.

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