World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
48
Citations
10526
World Ranking
3046
National Ranking
499

Computer Science

D-Index
48
Citations
10684
World Ranking
6126
National Ranking
808

Xiaofeng Tao 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 Xiaofeng Tao 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: 541 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Xiaofeng Tao 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 Xiaofeng Tao 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: 48 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Xiaofeng Tao is affiliated with Beijing University of Posts and Telecommunications in China. Their research spans multiple fields, primarily in Computer Science and Engineering, with a significant focus on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Aerospace Engineering, and Information Systems.

The core topics of their work include:

  • Advanced Wireless Communication Technologies
  • Wireless Communication Security Techniques
  • IoT and Edge/Fog Computing
  • Advanced MIMO Systems Optimization
  • Cooperative Communication and Network Coding
  • UAV Applications and Optimization
  • Privacy-Preserving Technologies in Data

Xiaofeng Tao's frequent coauthors comprise researchers such as Qimei Cui, Guoshun Nan, Xuefei Zhang, Huici Wu, and Ping Zhang, indicating collaborative efforts within their research community.

They have published extensively, with notable outlets including arXiv (Cornell University), IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, Science China Information Sciences, and IEEE Transactions on Information Forensics and Security. The volumes published in these venues are as follows:

  • arXiv (Cornell University): 27 publications
  • IEEE Internet of Things Journal: 24 publications
  • IEEE Transactions on Vehicular Technology: 23 publications
  • Science China Information Sciences: 13 publications
  • IEEE Transactions on Information Forensics and Security: 9 publications

Among their recent papers are:

  • Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts (2020), published in Science China Information Sciences
  • Privacy-Preserved Federated Learning for Autonomous Driving (2021), published in IEEE Transactions on Intelligent Transportation Systems
  • Deep Reinforcement Learning for Throughput Improvement of the Uplink Grant-Free NOMA System (2020), published in IEEE Internet of Things Journal
  • MDP-Based Task Offloading for Vehicular Edge Computing Under Certain and Uncertain Transition Probabilities (2020), published in IEEE Transactions on Vehicular Technology
  • Secure and Lightweight User Authentication Scheme for Cloud-Assisted Internet of Things (2023), published in IEEE Transactions on Information Forensics and Security

Their research output involves topics intersecting next-generation wireless networks, federated learning applications in autonomous driving, reinforcement learning methods in communication systems, task offloading strategies in vehicular edge computing, and security protocols for cloud-assisted IoT.

Best Publications

  • Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts

    Xiaohu You;Cheng-Xiang Wang;Jie Huang;Xiqi Gao

  • ConFi: Convolutional Neural Networks Based Indoor Wi-Fi Localization Using Channel State Information

    Hao Chen;Yifan Zhang;Wei Li;Xiaofeng Tao

  • An overview of cooperative communications

    Xiaofeng Tao;Xiaodong Xu;Qimei Cui

  • Privacy-Preserved Federated Learning for Autonomous Driving

    Yijing Li;Xiaofeng Tao;Xuefei Zhang;Junjie Liu

  • Cooperative Task Offloading in Three-Tier Mobile Computing Networks: An ADMM Framework

    Yue Wang;Xiaofeng Tao;Xuefei Zhang;Ping Zhang

  • A vision from the future: beyond 3G TDD

    Ping Zhang;Xiaofeng Tao;Jianhua Zhang;Ying Wang

  • Cooperative UAV Cluster-Assisted Terrestrial Cellular Networks for Ubiquitous Coverage

    Huici Wu;Xiaofeng Tao;Ning Zhang;Xuemin Shen

  • Energy-Efficient Relay Selection and Power Allocation for Two-Way Relay Channel with Analog Network Coding

    Min Zhou;Qimei Cui;Riku Jantti;Xiaofeng Tao

  • Artificial Noise Aided Secure NOMA Communications in STAR-RIS Networks

    Unknown

  • Mobile Edge Computing Enhanced Adaptive Bitrate Video Delivery With Joint Cache and Radio Resource Allocation

    Xiaodong Xu;Jiaxiang Liu;Xiaofeng Tao

  • Stochastic Online Learning for Mobile Edge Computing: Learning from Changes

    Qimei Cui;Zhenzhen Gong;Wei Ni;Yanzhao Hou

  • Deep Reinforcement Learning for Throughput Improvement of the Uplink Grant-Free NOMA System

    Jiazhen Zhang;Xiaofeng Tao;Huici Wu;Ning Zhang

  • MDP-Based Task Offloading for Vehicular Edge Computing Under Certain and Uncertain Transition Probabilities

    Xuefei Zhang;Jian Zhang;Zhitong Liu;Qimei Cui

  • Evolution of Limited-Feedback CoMP Systems from 4G to 5G: CoMP Features and Limited-Feedback Approaches

    Qimei Cui;Hui Wang;Pengxiang Hu;Xiaofeng Tao

  • Energy Efficient Power Allocation in Generalized Distributed Antenna System

    Xin Chen;Xiaodong Xu;Xiaofeng Tao

  • Energy Efficient Secure Computation Offloading in NOMA-Based mMTC Networks for IoT

    Shujun Han;Xiaodong Xu;Sisai Fang;Yan Sun

  • On Providing Downlink Services in Collocated Spectrum-Sharing Macro and Femto Networks

    Xiaoli Chu;Yuhua Wu;D. Lopez-Perez;Xiaofeng Tao

  • Energy-Efficient Distributed Data Storage for Wireless Sensor Networks Based on Compressed Sensing and Network Coding

    Xianjun Yang;Xiaofeng Tao;Eryk Dutkiewicz;Xiaojing Huang

  • Graph Method Based Clustering Strategy for Femtocell Interference Management and Spectrum Efficiency Improvement

    Hongjia Li;Xiaodong Xu;Dan Hu;Xiqiang Qu

  • Joint Caching Placement and User Association for Minimizing User Download Delay

    Yue Wang;Xiaofeng Tao;Xuefei Zhang;Guoqiang Mao

  • Bipartite matching approach to optimal resource allocation in device to device underlaying cellular network

    Jiang Han;Qimei Cui;Chengcheng Yang;Xiaofeng Tao

  • SDN based next generation Mobile Network with Service Slicing and trials

    Xiaodong Xu;Huixin Zhang;Xun Dai;Yanzhao Hou

  • Energy-Efficient and Secure Air-to-Ground Communication With Jittering UAV

    Huici Wu;Yang Wen;Jiazhen Zhang;Zhiqing Wei

  • Big Data Analytics and Network Calculus Enabling Intelligent Management of Autonomous Vehicles in a Smart City

    Qimei Cui;Yingze Wang;Kwang-Cheng Chen;Wei Ni

Frequent Co-Authors

Xiaodong Xu
Xiaodong Xu University of Washington
Ping Zhang
Ping Zhang Beijing University of Posts and Telecommunications
Ning Zhang
Ning Zhang University of Windsor
Guoqiang Mao
Guoqiang Mao Xidian University
Wei Ni
Wei Ni Edith Cowan University
Zhu Han
Zhu Han University of Houston
Ren Ping Liu
Ren Ping Liu University of Technology Sydney
Tommy Svensson
Tommy Svensson Chalmers University of Technology
Hui Tian
Hui Tian Beijing University of Posts and Telecommunications
Mikko Valkama
Mikko Valkama Tampere University

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