World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
52
Citations
13725
World Ranking
2484
National Ranking
33

Computer Science

D-Index
53
Citations
13957
World Ranking
4747
National Ranking
19

Ming 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 Ming 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: 350 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Ming 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 Ming 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: 52 D-Index — 64th percentile

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

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

Overview

Ming Xiao is affiliated with the Royal Institute of Technology in Sweden. Their research spans across engineering and computer science, with a substantial focus on electrical and electronic engineering as well as computer networks and communications.

The scientist has contributed extensively to multiple subfields, including:

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Artificial Intelligence
  • Aerospace Engineering
  • Applied Mathematics

Their research topics cover a broad spectrum within advanced communications and security technologies. Main topics include:

  • Advanced Wireless Communication Technologies
  • Advanced MIMO Systems Optimization
  • Cooperative Communication and Network Coding
  • Wireless Communication Security Techniques
  • Millimeter-Wave Propagation and Modeling
  • Satellite Communication Systems
  • Privacy-Preserving Technologies in Data

Ming Xiao has published numerous papers, some of the recent notable papers are:

  • "Joint Secure Offloading and Resource Allocation for Vehicular Edge Computing Network: A Multi-Agent Deep Reinforcement Learning Approach" (2023, IEEE Transactions on Intelligent Transportation Systems)
  • "Asynchronous Deep Reinforcement Learning for Collaborative Task Computing and On-Demand Resource Allocation in Vehicular Edge Computing" (2023, IEEE Transactions on Intelligent Transportation Systems)
  • "Federated Learning Over Wireless IoT Networks With Optimized Communication and Resources" (2022, IEEE Internet of Things Journal)
  • "Satellite-Based Computing Networks with Federated Learning" (2022, IEEE Wireless Communications)
  • "Decentralized Beamforming Design for Intelligent Reflecting Surface-Enhanced Cell-Free Networks" (2020, IEEE Wireless Communications Letters)

The researcher frequently collaborates with a group of co-authors, including:

  • Mikael Skoglund
  • Yue Xiao
  • H. Vincent Poor
  • Yu Ye
  • Zheng Ma

Ming Xiao's work has been disseminated predominantly in several high-impact venues, such as:

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

Best Publications

  • 6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies

    Zhengquan Zhang;Yue Xiao;Zheng Ma;Ming Xiao

  • Millimeter Wave Communications for Future Mobile Networks

    Ming Xiao;Shahid Mumtaz;Yongming Huang;Linglong Dai

  • 6G Wireless Communications: Vision and Potential Techniques

    Ping Yang;Yue Xiao;Ming Xiao;Shaoqian Li

  • Full-Duplex Device-to-Device-Aided Cooperative Nonorthogonal Multiple Access

    Zhengquan Zhang;Zheng Ma;Ming Xiao;Zhiguo Ding

  • A Survey of Advanced Techniques for Spectrum Sharing in 5G Networks

    Lin Zhang;Ming Xiao;Gang Wu;Muhammad Alam

  • Performance Analysis and Optimization in Downlink NOMA Systems With Cooperative Full-Duplex Relaying

    Lin Zhang;Jiaqi Liu;Ming Xiao;Gang Wu

  • The Sensable City: A Survey on the Deployment and Management for Smart City Monitoring

    Rong Du;Paolo Santi;Ming Xiao;Athanasios V. Vasilakos

  • High-Reliability and Low-Latency Wireless Communication for Internet of Things: Challenges, Fundamentals, and Enabling Technologies

    Zheng Ma;Ming Xiao;Yue Xiao;Zhibo Pang

  • Spectrum Sharing for Internet of Things: A Survey

    Lin Zhang;Ying-Chang Liang;Ming Xiao

  • Multiple-User Cooperative Communications Based on Linear Network Coding

    Ming Xiao;Mikael Skoglund

  • Design of Network Codes for Multiple-User Multiple-Relay Wireless Networks

    Ming Xiao;J. Kliewer;M. Skoglund

  • Design of network codes for multiple-user multiple-relay wireless networks

    Ming Xiao;Mikael Skoglund

  • Efficient Scheduling and Power Allocation for D2D-Assisted Wireless Caching Networks

    Lin Zhang;Ming Xiao;Gang Wu;Shaoqian Li

  • Experimental Investigation of the Effects of Suffusion on Physical and Geomechanic Characteristics of Sandy Soils

    Ming Xiao;Nathan Shwiyhat

  • Advances in Device-to-Device Communications and Network Coding for IMT-Advanced

    Afif Osseiran;Klaus Doppler;Cassio Ribeiro;Ming Xiao

  • Federated Learning over Wireless IoT Networks with Optimized Communication and Resources.

    Hao Chen;Shaocheng Huang;Deyou Zhang;Ming Xiao

  • Satellite Based Computing Networks with Federated Learning

    Hao Chen;Ming Xiao;Zhibo Pang

  • Full-Duplex Two-Way and One-Way Relaying: Average Rate, Outage Probability, and Tradeoffs

    Zhengquan Zhang;Zheng Ma;Zhiguo Ding;Ming Xiao

  • Decentralized Beamforming Design for Intelligent Reflecting Surface-Enhanced Cell-Free Networks

    Shaocheng Huang;Yu Ye;Ming Xiao;H. Vincent Poor

  • Threshold-Free Physical Layer Authentication Based on Machine Learning for Industrial Wireless CPS

    Fei Pan;Zhibo Pang;Hong Wen;Michele Luvisotto

  • Error Floor Analysis of LT Codes over the Additive White Gaussian Noise Channel

    Iqbal Hussain;Ming Xiao;Lars K. Rasmussen

  • Physical clogging of soil filters under constant flow rate versus constant head

    Lakshmi N. Reddi;Ming Xiao;Malay G. Hajra;In Mo Lee

  • Decentralized Beam Pair Selection in Multi-Beam Millimeter-Wave Networks

    Yanping Liu;Xuming Fang;Ming Xiao;Shahid Mumtaz

  • Millimeter Wave Communications for Future Mobile Networks

    Ming Xiao;Shahid Mumtaz;Yongming Huang;Linglong Dai

Frequent Co-Authors

Mikael Skoglund
Mikael Skoglund Royal Institute of Technology
Lars K. Rasmussen
Lars K. Rasmussen Royal Institute of Technology
Yongming Huang
Yongming Huang Southeast University
Gang Wu
Gang Wu Washington University in St. Louis
Carlo Fischione
Carlo Fischione Royal Institute of Technology
Shaoqian Li
Shaoqian Li University of Electronic Science and Technology of China
Yue Xiao
Yue Xiao University of Electronic Science and Technology of China
Pingzhi Fan
Pingzhi Fan Southwest Jiaotong University
H. Vincent Poor
H. Vincent Poor Princeton University
Zesong Fei
Zesong Fei Beijing Institute of Technology

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Related Online Degrees & Career Pathways

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