World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
45
Citations
6656
World Ranking
3613
National Ranking
1325

Computer Science

D-Index
45
Citations
6843
World Ranking
7299
National Ranking
3183

Kai Zeng 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 Kai Zeng 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: 166 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Kai Zeng 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 Kai Zeng 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: 45 D-Index — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Overview

Kai Zeng is affiliated with George Mason University in the United States. Their research primarily spans the fields of Engineering and Computer Science, with a focus on Electrical and Electronic Engineering, Artificial Intelligence, and Computer Networks and Communications. Additional subfields of study include Aerospace Engineering and Computer Vision and Pattern Recognition.

Their main research topics cover a range of areas in wireless communication and data privacy. These topics comprise:

  • Wireless Communication Security Techniques
  • Wireless Signal Modulation Classification
  • Advanced Wireless Communication Technologies
  • Privacy-Preserving Technologies in Data
  • Energy Harvesting in Wireless Networks
  • Advanced MIMO Systems Optimization
  • Millimeter-Wave Propagation and Modeling

Kai Zeng has contributed to several recent research papers, including:

  • "Federated Graph Neural Network for Fast Anomaly Detection in Controller Area Networks," 2023, IEEE Transactions on Information Forensics and Security
  • "Federated Continuous Learning With Broad Network Architecture," 2021, IEEE Transactions on Cybernetics
  • "Privacy-Preserving Federated Learning With Malicious Clients and Honest-but-Curious Servers," 2023, IEEE Transactions on Information Forensics and Security
  • "Enabling Efficient Blockage-Aware Handover in RIS-Assisted mmWave Cellular Networks," 2021, IEEE Transactions on Wireless Communications
  • "Physical Layer Authentication for 5G Communications: Opportunities and Road Ahead," 2020, IEEE Network

Their frequent coauthors include Long Jiao, Ning Wang, Amir Alipour-Fanid, Pu Wang, and Monireh Dabaghchian.

Kai Zeng's publications often appear in leading scientific venues such as:

  • IEEE Transactions on Information Forensics and Security
  • IEEE Internet of Things Journal
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Cognitive Communications and Networking
  • arXiv (Cornell University)

Best Publications

  • Physical-Layer Security of 5G Wireless Networks for IoT: Challenges and Opportunities

    Ning Wang;Pu Wang;Amir Alipour-Fanid;Long Jiao

  • Non-cryptographic authentication and identification in wireless networks [Security and Privacy in Emerging Wireless Networks]

    Kai Zeng;K Govindan;P Mohapatra

  • Physical layer key generation in wireless networks: challenges and opportunities

    Kai Zeng

  • Exploiting Multiple-Antenna Diversity for Shared Secret Key Generation in Wireless Networks

    Kai Zeng;Daniel Wu;An Chan;Prasant Mohapatra

  • On Broadcast Authentication in Wireless Sensor Networks

    Kui Ren;Wenjing Lou;Kai Zeng;P.J. Moran

  • On End-to-End Throughput of Opportunistic Routing in Multirate and Multihop Wireless Networks

    Kai Zeng;Wenjing Lou;Hongqiang Zhai

  • Energy aware efficient geographic routing in lossy wireless sensor networks with environmental energy supply

    Kai Zeng;Kui Ren;Wenjing Lou;Patrick J. Moran

  • A Survey on Security, Privacy, and Trust in Mobile Crowdsourcing

    Wei Feng;Zheng Yan;Hengrun Zhang;Kai Zeng

  • On throughput efficiency of geographic opportunistic routing in multihop wireless networks

    Kai Zeng;Wenjing Lou;Jie Yang;Donald R. Brown

  • On throughput efficiency of geographic opportunistic routing in multihop wireless networks

    Kai Zeng;Wenjing Lou;Jie Yang;D. Richard Brown

  • Opportunistic Routing in Multi-radio Multi-channel Multi-hop Wireless Networks

    Kai Zeng;Zhenyu Yang;Wenjing Lou

  • On Geographic Collaborative Forwarding in Wireless Ad Hoc and Sensor Networks

    Kai Zeng;Wenjing Lou;Jie Yang;D.R. Brown

  • PHY-CRAM: Physical Layer Challenge-Response Authentication Mechanism for Wireless Networks

    D. Shan;Kai Zeng;Weidong Xiang;P. Richardson

  • Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation

    Unknown

  • Probability Density of the Received Power in Mobile Networks

    K. Govindan;Kai Zeng;P. Mohapatra

  • Location-Aided Opportunistic Forwarding in Multirate and Multihop Wireless Networks

    Kai Zeng;Zhenyu Yang;Wenjing Lou

  • Opportunistic broadcast of event-driven warning messages in Vehicular Ad Hoc Networks with lossy links

    Ming Li;Kai Zeng;Wenjing Lou

  • Physical Layer Key Generation in 5G Wireless Networks

    Long Jiao;Ning Wang;Pu Wang;Amir Alipour-Fanid

  • Bluetooth beacon based location determination

    Jindan Zhu;Kai Zeng;Prasant Mohapatra;Kyu Han Kim

  • Machine Learning-Based Delay-Aware UAV Detection and Operation Mode Identification Over Encrypted Wi-Fi Traffic

    Amir Alipour-Fanid;Monireh Dabaghchian;Ning Wang;Pu Wang

  • A new approach for random key pre‐distribution in large‐scale wireless sensor networks

    Kui Ren;Kai Zeng;Wenjing Lou

  • Trusted Collaborative Spectrum Sensing for Mobile Cognitive Radio Networks

    Shraboni Jana;Kai Zeng;Wei Cheng;Prasant Mohapatra

  • Metrics for Evaluating Video Streaming Quality in Lossy IEEE 802.11 Wireless Networks

    An Chan;Kai Zeng;Prasant Mohapatra;Sung-Ju Lee

Frequent Co-Authors

Wenjing Lou
Wenjing Lou Virginia Tech
Prasant Mohapatra
Prasant Mohapatra University of South Florida
Kui Ren
Kui Ren Zhejiang University
Kannan Govindan
Kannan Govindan University of Adelaide
Peter Auer
Peter Auer University of Leoben
Zheng Yan
Zheng Yan Xidian University
Kyu-Han Kim
Kyu-Han Kim Pathlight - Performance Intelligence Platform
Mingyan Liu
Mingyan Liu University of Michigan–Ann Arbor
Yanchao Zhang
Yanchao Zhang Arizona State University

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Integrating these programs with engineering studies opens avenues in management, education, and leadership, enhancing career flexibility and growth.

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