World's Best Scientists 2026 revealed!
Linglong Dai

Linglong Dai

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Computer Science
China
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
88
Citations
31747
World Ranking
323
National Ranking
54

Computer Science

D-Index
88
Citations
31748
World Ranking
681
National Ranking
97

Linglong Dai 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 Linglong Dai 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: 335 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Linglong Dai 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 Linglong Dai 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: 88 D-Index — 95th percentile

95% 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

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award

Overview

Linglong Dai is affiliated with Tsinghua University in China and specializes in engineering, with a significant focus on electrical and electronic engineering. Their research encompasses aerospace engineering, artificial intelligence, computer networks and communications, and signal processing.

The scientist's work largely revolves around advanced wireless communication technologies, particularly in the areas of multiple-input multiple-output (MIMO) systems optimization and antenna design and analysis.

  • Advanced MIMO Systems Optimization
  • Antenna Design and Analysis
  • Advanced Wireless Communication Technologies
  • Millimeter-Wave Propagation and Modeling
  • Antenna Design and Optimization
  • Microwave Engineering and Waveguides
  • Advanced Antenna and Metasurface Technologies

Recent publications by Linglong Dai include research contributions spanning from 2020 to 2022. Notable papers are:

  • "Active RIS vs. Passive RIS: Which Will Prevail in 6G?" (2022), published in IEEE Transactions on Communications
  • "Reconfigurable Intelligent Surface-Based Wireless Communications: Antenna Design, Prototyping, and Experimental Results" (2020), published in IEEE Access
  • "Channel Estimation for Extremely Large-Scale MIMO: Far-Field or Near-Field?" (2022), published in IEEE Transactions on Communications
  • "Near-Field MIMO Communications for 6G: Fundamentals, Challenges, Potentials, and Future Directions" (2022), published in IEEE Communications Magazine
  • "Two-Timescale Channel Estimation for Reconfigurable Intelligent Surface Aided Wireless Communications" (2021), published in IEEE Transactions on Communications

Frequent coauthors collaborating with Linglong Dai include Zijian Zhang, Mingyao Cui, Jieao Zhu, Chan-Byoung Chae, and Zidong Wu.

Publications are predominantly found in high-impact venues such as arXiv (Cornell University), IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Wireless Communications, and IEEE Communications Letters.

  • arXiv (Cornell University)
  • IEEE Transactions on Communications
  • IEEE Transactions on Wireless Communications
  • IEEE Wireless Communications
  • IEEE Communications Letters

Best Publications

  • Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends

    Linglong Dai;Bichai Wang;Yifei Yuan;Shuangfeng Han

  • A Survey of Non-Orthogonal Multiple Access for 5G

    Linglong Dai;Bichai Wang;Zhiguo Ding;Zhaocheng Wang

  • Millimeter Wave Communications for Future Mobile Networks

    Ming Xiao;Shahid Mumtaz;Yongming Huang;Linglong Dai

  • Active RIS vs. Passive RIS: Which Will Prevail in 6G?

    Unknown

  • Energy-Efficient Hybrid Analog and Digital Precoding for MmWave MIMO Systems With Large Antenna Arrays

    Xinyu Gao;Linglong Dai;Shuangfeng Han;Chih-Lin I

  • Reconfigurable Intelligent Surface-Based Wireless Communications: Antenna Design, Prototyping, and Experimental Results

    Linglong Dai;Bichai Wang;Min Wang;Xue Yang

  • Channel Estimation for Extremely Large-Scale MIMO: Far-Field or Near-Field?

    Unknown

  • Millimeter-Wave Massive MIMO Communication for Future Wireless Systems: A Survey

    Sherif Adeshina Busari;Kazi Mohammed Saidul Huq;Shahid Mumtaz;Linglong Dai

  • Near-Field MIMO Communications for 6G: Fundamentals, Challenges, Potentials, and Future Directions

    Unknown

  • Spatially Common Sparsity Based Adaptive Channel Estimation and Feedback for FDD Massive MIMO

    Zhen Gao;Linglong Dai;Zhaocheng Wang;Sheng Chen

  • MmWave massive-MIMO-based wireless backhaul for the 5G ultra-dense network

    Zhen Gao;Linglong Dai;De Mi;Zhaocheng Wang

  • Optimal 3D-Trajectory Design and Resource Allocation for Solar-Powered UAV Communication Systems

    Yan Sun;Dongfang Xu;Derrick Wing Kwan Ng;Linglong Dai

  • Channel Estimation for Orthogonal Time Frequency Space (OTFS) Massive MIMO

    Wenqian Shen;Linglong Dai;Jianping An;Pingzhi Fan

  • Two-Timescale Channel Estimation for Reconfigurable Intelligent Surface Aided Wireless Communications

    Chen Hu;Linglong Dai;Shuangfeng Han;Xiaoyun Wang

  • Spectrum and Energy-Efficient Beamspace MIMO-NOMA for Millimeter-Wave Communications Using Lens Antenna Array

    Bichai Wang;Linglong Dai;Zhaocheng Wang;Ning Ge

  • Channel Estimation for Millimeter-Wave Massive MIMO With Hybrid Precoding Over Frequency-Selective Fading Channels

    Zhen Gao;Chen Hu;Linglong Dai;Zhaocheng Wang

  • MmWave Massive MIMO Based Wireless Backhaul for 5G Ultra-Dense Network

    Zhen Gao;Linglong Dai;De Mi;Zhaocheng Wang

  • A Joint Precoding Framework for Wideband Reconfigurable Intelligent Surface-Aided Cell-Free Network

    Zijian Zhang;Linglong Dai

  • Low-Complexity Soft-Output Signal Detection Based on Gauss–Seidel Method for Uplink Multiuser Large-Scale MIMO Systems

    Linglong Dai;Xinyu Gao;Xin Su;Shuangfeng Han

  • Hybrid Precoding-Based Millimeter-Wave Massive MIMO-NOMA With Simultaneous Wireless Information and Power Transfer

    Linglong Dai;Bichai Wang;Mugen Peng;Shanzhi Chen

  • Performance Analysis of Mixed-ADC Massive MIMO Systems over Rician Fading Channels

    Jiayi Zhang;Linglong Dai;Ziyan He;Shi Jin

  • On Low-Resolution ADCs in Practical 5G Millimeter-Wave Massive MIMO Systems

    Jiayi Zhang;Linglong Dai;Xu Li;Ying Liu

  • Channel Estimation for Orthogonal Time Frequency Space (OTFS) Massive MIMO

    Wenqian Shen;Linglong Dai;Shuangfeng Han;I. Chih-Lin

  • Two-Timescale Channel Estimation for Reconfigurable Intelligent Surface Aided Wireless Communications

    Chen Hu;Linglong Dai

  • Millimeter Wave Communications for Future Mobile Networks

    Ming Xiao;Shahid Mumtaz;Yongming Huang;Linglong Dai

Frequent Co-Authors

Zhaocheng Wang
Zhaocheng Wang Tsinghua University
Shuangfeng Han
Shuangfeng Han China Mobile (China)
Chih-Lin I
Chih-Lin I China Mobile (China)
Derrick Wing Kwan Ng
Derrick Wing Kwan Ng University of New South Wales
Lajos Hanzo
Lajos Hanzo University of Southampton
Sheng Chen
Sheng Chen University of Southampton
Robert Schober
Robert Schober University of Erlangen-Nuremberg
Fumiyuki Adachi
Fumiyuki Adachi Tohoku University
Jian Song
Jian Song Tsinghua University
Shahid Mumtaz
Shahid Mumtaz Nottingham Trent University

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