IEEE Network

Papers
(The H4-Index of IEEE Network is 55. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)
ArticleCitations
A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems2296
Integrating Sensing and Communications for Ubiquitous IoT: Applications, Trends, and Challenges321
Artificial-Intelligence-Enabled Intelligent 6G Networks291
A Blockchain-Based Decentralized Federated Learning Framework with Committee Consensus249
Non-Terrestrial Networks in the 6G Era: Challenges and Opportunities248
Explainable AI and Mass Surveillance System-Based Healthcare Framework to Combat COVID-I9 Like Pandemics242
Internet of Things Intrusion Detection: Centralized, On-Device, or Federated Learning?203
Emerging Technologies for 5G-IoV Networks: Applications, Trends and Opportunities194
A Many-Objective Optimization Model of Industrial Internet of Things Based on Private Blockchain183
Envisioning Device-to-Device Communications in 6G178
Realizing the Potential of the Internet of Things for Smart Tourism with 5G and AI163
On Safeguarding Privacy and Security in the Framework of Federated Learning154
Blockchain for Digital Twins: Recent Advances and Future Research Challenges143
Efficient and Secure Data Sharing for 5G Flying Drones: A Blockchain-Enabled Approach137
Satellite-Terrestrial Integrated Edge Computing Networks: Architecture, Challenges, and Open Issues131
Intelligent Digital Twin-Based Software-Defined Vehicular Networks131
Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface118
Analysis of Using Blockchain to Protect the Privacy of Drone Big Data116
Federated Learning in Vehicular Networks: Opportunities and Solutions113
Malicious Code Detection under 5G HetNets Based on a Multi-Objective RBM Model110
Will Metaverse Be NextG Internet? Vision, Hype, and Reality101
Blockchain-Based Data Security for Artificial Intelligence Applications in 6G Networks100
Federated Learning for Data Privacy Preservation in Vehicular Cyber-Physical Systems99
Optimizing Computation Offloading in Satellite-UAV-Served 6G IoT: A Deep Learning Approach95
Blockchain Technology Toward Green IoT: Opportunities and Challenges94
Toward Resource-Efficient Federated Learning in Mobile Edge Computing91
ssHealth: Toward Secure, Blockchain-Enabled Healthcare Systems86
Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks86
B5G and Explainable Deep Learning Assisted Healthcare Vertical at the Edge: COVID-I9 Perspective85
The Road to European Digital Sovereignty with Gaia-X and IDSA79
When Blockchain Meets Smart Grid: Secure Energy Trading in Demand Response Management78
A Survey on Zero-Knowledge Proof in Blockchain77
A Machine Learning Approach for Blockchain-Based Smart Home Networks Security77
Intelligent Reflecting Surface Enabled Covert Communications in Wireless Networks74
Blockchain-Based Sharing and Tamper-Proof Framework of Big Data Networking73
Artificial Intelligence Powered Mobile Networks: From Cognition to Decision73
Design Guidelines for Blockchain-Assisted 5G-UAV Networks70
Roads Infrastructure Digital Twin: A Step Toward Smarter Cities Realization68
Channel Modeling and Characteristics for 6G Wireless Communications67
Blockchain-Envisioned Softwarized Multi-Swarming UAVs to Tackle COVID-I9 Situations67
Blockchain-Based Privacy Preservation for 5G-Enabled Drone Communications66
Generative Adversarial Learning for Intelligent Trust Management in 6G Wireless Networks64
Living with I-Fabric: Smart Living Powered by Intelligent Fabric and Deep Analytics62
Deep Information Fusion-Driven POI Scheduling for Mobile Social Networks61
An Energy Trade Framework Using Smart Contracts: Overview and Challenges61
Deep Reinforcement Learning for Communication Flow Control in Wireless Mesh Networks59
Convergence of Networking and Cloud/Edge Computing: Status, Challenges, and Opportunities58
Digital Twin Empowered Mobile Edge Computing for Intelligent Vehicular Lane-Changing58
6G Cellular Networks and Connected Autonomous Vehicles58
AI Driven Heterogeneous MEC System with UAV Assistance for Dynamic Environment: Challenges and Solutions57
Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Systems57
Deep Learning for Security Problems in 5G Heterogeneous Networks57
Optimizing Feature Selection for Efficient Encrypted Traffic Classification: A Systematic Approach56
PIRATE: A Blockchain-Based Secure Framework of Distributed Machine Learning in 5G Networks56
A Detailed Security Assessment of the EV Charging Ecosystem55
AI for Beyond 5G Networks: A Cyber-Security Defense or Offense Enabler?55
Semantic Communications in Networked Systems: A Data Significance Perspective55
Toward 6G Non-Terrestrial Networks55
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