World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
8947
World Ranking
6433
National Ranking
1207

Xiaojun Yuan publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Xiaojun Yuan sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 296 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Xiaojun Yuan D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Xiaojun Yuan sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 42 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Xiaojun Yuan is affiliated with the University of Electronic Science and Technology of China. Their research contributions span multiple areas within engineering and computer science, with a strong focus on wireless communications and related technologies.

Their main fields of study include:

  • Engineering
  • Computer Science

Within these broad areas, subfields of study relevant to their research are:

  • Electrical and Electronic Engineering
  • Aerospace Engineering
  • Computer Networks and Communications
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition

The main research topics Xiaojun Yuan has worked on encompass advanced wireless and communication technologies, with emphasis on:

  • Advanced Wireless Communication Technologies
  • Advanced MIMO Systems Optimization
  • Indoor and Outdoor Localization Technologies
  • UAV Applications and Optimization
  • Antenna Design and Analysis
  • Wireless Communication Security Techniques
  • Privacy-Preserving Technologies in Data

Some of the recent papers authored or co-authored by Xiaojun Yuan include:

  • "Reconfigurable Intelligent Surface Assisted UAV Communication: Joint Trajectory Design and Passive Beamforming," 2020, IEEE Wireless Communications Letters
  • "Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities," 2021, IEEE Wireless Communications
  • "Passive Beamforming and Information Transfer Design for Reconfigurable Intelligent Surfaces Aided Multiuser MIMO Systems," 2020, IEEE Journal on Selected Areas in Communications
  • "Robust Secure UAV Communications With the Aid of Reconfigurable Intelligent Surfaces," 2021, IEEE Transactions on Wireless Communications
  • "Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach," 2021, IEEE Transactions on Wireless Communications

Frequent co-authors who have collaborated extensively with Xiaojun Yuan include:

  • Ying-Jun Angela Zhang
  • Bin Duo
  • Ying-Chang Liang
  • Huiyuan Yang
  • Xin Wang

In terms of publication venues, Xiaojun Yuan has predominantly contributed to the following:

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

Xiaojun Yuan has also published books through Springer Nature, including:

  • Turbo Message Passing Algorithms for Structured Signal Recovery, 2020
  • Securing Unmanned Aerial Vehicle Networks, 2023

Best Publications

  • Cascaded Channel Estimation for Large Intelligent Metasurface Assisted Massive MIMO

    Zhen-Qing He;Xiaojun Yuan

  • Reconfigurable Intelligent Surface Assisted UAV Communication: Joint Trajectory Design and Passive Beamforming

    Sixian Li;Bin Duo;Xiaojun Yuan;Ying-Chang Liang

  • Matrix-Calibration-Based Cascaded Channel Estimation for Reconfigurable Intelligent Surface Assisted Multiuser MIMO

    Hang Liu;Xiaojun Yuan;Ying-Jun Angela Zhang

  • Intelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design

    Peilan Wang;Jun Fang;Xiaojun Yuan;Zhi Chen

  • Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities

    Xiaojun Yuan;Ying-Jun Angela Zhang;Yuanming Shi;Wenjing Yan

  • Intelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design

    Peilan Wang;Jun Fang;Xiaojun Yuan;Zhi Chen

  • Passive Beamforming and Information Transfer Design for Reconfigurable Intelligent Surfaces Aided Multiuser MIMO Systems

    Wenjing Yan;Xiaojun Yuan;Zhen-Qing He;Xiaoyan Kuai

  • Robust Secure UAV Communications With the Aid of Reconfigurable Intelligent Surfaces

    Sixian Li;Bin Duo;Marco Di Renzo;Meixia Tao

  • Passive Beamforming and Information Transfer via Large Intelligent Surface

    Wenjing Yan;Xiaojun Yuan;Xiaoyan Kuai

  • Turbo Compressed Sensing with Partial DFT Sensing Matrix

    Junjie Ma;Xiaojun Yuan;Li Ping

  • Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach

    Hang Liu;Xiaojun Yuan;Ying-Jun Angela Zhang

  • Constellation Learning-Based Signal Detection for Ambient Backscatter Communication Systems

    Qianqian Zhang;Huayan Guo;Ying-Chang Liang;Xiaojun Yuan

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

    Xiaojun Yuan;Qinghua Guo;Xiaodong Wang;Li Ping

  • Joint Active and Passive Beamforming Design for Reconfigurable Intelligent Surface Enabled Integrated Sensing and Communication

    Unknown

  • Sparsity Learning-Based Multiuser Detection in Grant-Free Massive-Device Multiple Access

    Tian Ding;Xiaojun Yuan;Soung Chang Liew

  • Blind Signal Detection in Massive MIMO: Exploiting the Channel Sparsity

    Jianwen Zhang;Xiaojun Yuan;Ying-Jun Angela Zhang

  • Joint User Identification, Channel Estimation, and Signal Detection for Grant-Free NOMA

    Shuchao Jiang;Xiaojun Yuan;Xin Wang;Chongbin Xu

  • Anti-Jamming 3D Trajectory Design for UAV-Enabled Wireless Sensor Networks Under Probabilistic LoS Channel

    Bin Duo;Qingqing Wu;Xiaojun Yuan;Rui Zhang

  • Reconfigurable Intelligent Surfaces for Energy Efficiency in D2D Communication Network

    Shuaiqi Jia;Xiaojun Yuan;Ying-Chang Liang

  • Structured Turbo Compressed Sensing for Massive MIMO Channel Estimation Using a Markov Prior

    Lei Chen;An Liu;Xiaojun Yuan

  • Hermitian Precoding for Distributed MIMO Systems with Individual Channel State Information

    Jianwen Zhang;Xiaojun Yuan;Li Ping

  • Energy Efficiency Maximization for Full-Duplex UAV Secrecy Communication

    Bin Duo;Qingqing Wu;Xiaojun Yuan;Rui Zhang

  • Superposition coded modulation and iterative linear MMSE detection

    Li Ping;Jun Tong;Xiaojun Yuan;Qinghua Guo

  • Distributed Energy Beamforming for Simultaneous Wireless Information and Power Transfer in the Two-Way Relay Channel

    Zhaoxi Fang;Xiaojun Yuan;Xin Wang

  • A New Physical-Layer Network Coding Scheme with Eigen-Direction Alignment Precoding for MIMO Two-Way Relaying

    Tao Yang;Xiaojun Yuan;Li Ping;Iain B. Collings

  • Blind Signal Detection in Massive MIMO: Exploiting the Channel Sparsity

    Jianwen Zhang;Xiaojun Yuan;Ying Jun;Zhang

Frequent Co-Authors

Li Ping
Li Ping City University of Hong Kong
Ying Jun Zhang
Ying Jun Zhang Chinese University of Hong Kong
Soung Chang Liew
Soung Chang Liew Chinese University of Hong Kong
Xin Wang
Xin Wang Fudan University
Ying-Chang Liang
Ying-Chang Liang University of Electronic Science and Technology of China
Qinghua Guo
Qinghua Guo University of Wollongong
Meixia Tao
Meixia Tao Shanghai Jiao Tong University
Iain B. Collings
Iain B. Collings Macquarie University
Jun Fang
Jun Fang University of Electronic Science and Technology of China
Jinhong Yuan
Jinhong Yuan University of New South Wales

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