World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

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

Electronics and Electrical Engineering

D-Index
45
Citations
6656
World Ranking
3613
National Ranking
1324

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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