World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
43
Citations
8322
World Ranking
3871
National Ranking
1397

Chengshan Xiao 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 Chengshan Xiao 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: 217 publications — 35th percentile

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

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

Chengshan Xiao 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 Chengshan Xiao 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: 43 D-Index — 45th percentile

45% 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

  • 2010 - IEEE Fellow For contributions to channel modeling and signal processing for wireless communications
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering

Overview

Chengshan Xiao is affiliated with Lehigh University in the United States. Their research primarily focuses on the field of Engineering, with a specialization in Electrical and Electronic Engineering. The subfields of their work also include Aerospace Engineering, Computer Networks and Communications, Artificial Intelligence, and Computer Vision and Pattern Recognition.

The scientist's research topics cover a variety of advanced communication and networking technologies. These topics include:

  • Advanced MIMO Systems Optimization
  • Advanced Wireless Communication Technologies
  • Energy Harvesting in Wireless Networks
  • Wireless Communication Security Techniques
  • Indoor and Outdoor Localization Technologies
  • Cooperative Communication and Network Coding
  • Antenna Design and Analysis

Chengshan Xiao has contributed to several frequent publication venues. Key venues where their work has appeared are:

  • arXiv (Cornell University)
  • IEEE Transactions on Green Communications and Networking
  • IEEE Transactions on Wireless Communications
  • IEEE Communications Magazine
  • IEEE Journal on Selected Areas in Communications

The recent papers authored or co-authored by Chengshan Xiao include:

  • Large Intelligent Surface Aided Physical Layer Security Transmission, 2020, IEEE Transactions on Signal Processing
  • Joint Device Detection, Channel Estimation, and Data Decoding With Collision Resolution for MIMO Massive Unsourced Random Access, 2022, IEEE Journal on Selected Areas in Communications
  • Federated Learning via Over-the-Air Computation With Statistical Channel State Information, 2022, IEEE Transactions on Wireless Communications
  • Hybrid Precoding For Millimeter Wave MIMO Systems: A Matrix Factorization Approach, 2020, arXiv (Cornell University)
  • QoE Driven VR 360° Video Massive MIMO Transmission, 2021, IEEE Transactions on Wireless Communications

Frequent co-authors collaborating with Chengshan Xiao include:

  • Yongpeng Wu
  • Xiang-Gen Xia
  • Wenjun Zhang
  • Ana García Armada
  • Harold Tepper

Chengshan Xiao has been recognized with significant awards, notably being named an IEEE Fellow in 2010 for contributions to channel modeling and signal processing for wireless communications. Additionally, they have a membership in The Canadian Academy of Engineering.

Best Publications

  • Simulation models with correct statistical properties for Rayleigh fading channels

    Yahong Rosa Zheng;Chengshan Xiao

  • A Survey of Physical Layer Security Techniques for 5G Wireless Networks and Challenges Ahead

    Yongpeng Wu;Ashish Khisti;Chengshan Xiao;Giuseppe Caire

  • Improved models for the generation of multiple uncorrelated Rayleigh fading waveforms

    Y.R. Zheng;Chengshan Xiao

  • Beam Division Multiple Access Transmission for Massive MIMO Communications

    Chen Sun;Xiqi Gao;Shi Jin;Michail Matthaiou

  • Secure Massive MIMO Transmission With an Active Eavesdropper

    Yongpeng Wu;Robert Schober;Derrick Wing Kwan Ng;Chengshan Xiao

  • Novel Sum-of-Sinusoids Simulation Models for Rayleigh and Rician Fading Channels

    C. Xiao;Y.R. Zheng;N.C. Beaulieu

  • Globally Optimal Linear Precoders for Finite Alphabet Signals Over Complex Vector Gaussian Channels

    Chengshan Xiao;Yahong Rosa Zheng;Zhi Ding

  • A discrete-time model for triply selective MIMO Rayleigh fading channels

    Chengshan Xiao;Jingxian Wu;S.-Y. Leong;Yahong Rosa Zheng

  • Linear Precoding for Finite-Alphabet Inputs Over MIMO Fading Channels With Statistical CSI

    Weiliang Zeng;Chengshan Xiao;Mingxi Wang;Jianhua Lu

  • Linear Precoding for Finite-Alphabet Signaling Over MIMOME Wiretap Channels

    Yongpeng Wu;Chengshan Xiao;Zhi Ding;Xiqi Gao

  • Second-order statistical properties of the WSS Jakes' fading channel simulator

    Chengshan Xiao;Y.R. Zheng;N.C. Beaulieu

  • Robust MIMO Underwater Acoustic Communications Using Turbo Block Decision-Feedback Equalization

    Jun Tao;Yahong Rosa Zheng;Chengshan Xiao;T C Yang

  • Mobile speed estimation for TDMA-based hierarchical cellular systems

    Chengshan Xiao;K.D. Mann;J.C. Olivier

  • Statistical simulation models for Rayleigh and Rician fading

    Chengshan Xiao;Y.R. Zheng;N.C. Beaulieu

  • A Low-Complexity Design of Linear Precoding for MIMO Channels with Finite-Alphabet Inputs

    Weiliang Zeng;Chengshan Xiao;Jianhua Lu

  • On Secrecy Rate Analysis of MIMO Wiretap Channels Driven by Finite-Alphabet Input

    S. Bashar;Zhi Ding;Chengshan Xiao

  • Free Deterministic Equivalents for the Analysis of MIMO Multiple Access Channel

    An-An Lu;Xiqi Gao;Chengshan Xiao

  • Linear Precoding for MIMO Broadcast Channels With Finite-Alphabet Constraints

    Yongpeng Wu;Mingxi Wang;Chengshan Xiao;Zhi Ding

  • Linear Precoder Design for MIMO Interference Channels with Finite-Alphabet Signaling

    Yongpeng Wu;Chengshan Xiao;Xiqi Gao;John D. Matyjas

  • Channel Estimation for Frequency-Domain Equalization of Single-Carrier Broadband Wireless Communications

    Y.R. Zheng;Chengshan Xiao

  • Full length article: Frequency-domain channel estimation and equalization for shallow-water acoustic communications

    Yahong Rosa Zheng;Chengshan Xiao;T. C. Yang;Wen-Bin Yang

  • Linear Precoding for the MIMO Multiple Access Channel With Finite Alphabet Inputs and Statistical CSI

    Yongpeng Wu;Chao-Kai Wen;Chengshan Xiao;Xiqi Gao

Frequent Co-Authors

Yahong Rosa Zheng
Yahong Rosa Zheng Lehigh University
Yongpeng Wu
Yongpeng Wu Shanghai Jiao Tong University
Xiqi Gao
Xiqi Gao Southeast University
Zhi Ding
Zhi Ding University of California, Davis
Robert Schober
Robert Schober University of Erlangen-Nuremberg
Shi Jin
Shi Jin Southeast University
Khaled Ben Letaief
Khaled Ben Letaief Hong Kong University of Science and Technology
Giuseppe Caire
Giuseppe Caire Technical University of Berlin
Norman C. Beaulieu
Norman C. Beaulieu Beijing University of Posts and Telecommunications
Derrick Wing Kwan Ng
Derrick Wing Kwan Ng University of New South Wales

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