IEEE Transactions on Network Science and Engineering

Papers
(The H4-Index of IEEE Transactions on Network Science and Engineering is 53. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
A Private and Efficient Mechanism for Data Uploading in Smart Cyber-Physical Systems434
A Time-Dependent SIR Model for COVID-19 With Undetectable Infected Persons273
PPSF: A Privacy-Preserving and Secure Framework Using Blockchain-Based Machine-Learning for IoT-Driven Smart Cities184
CANintelliIDS: Detecting In-Vehicle Intrusion Attacks on a Controller Area Network Using CNN and Attention-Based GRU141
BinDaaS: Blockchain-Based Deep-Learning as-a-Service in Healthcare 4.0 Applications140
ContractWard: Automated Vulnerability Detection Models for Ethereum Smart Contracts129
Deep Reinforcement Learning Based Resource Management for Multi-Access Edge Computing in Vehicular Networks124
Towards Secure and Privacy-Preserving Data Sharing for COVID-19 Medical Records: A Blockchain-Empowered Approach123
Learning in the Air: Secure Federated Learning for UAV-Assisted Crowdsensing122
BD-VTE: A Novel Baseline Data Based Verifiable Trust Evaluation Scheme for Smart Network Systems111
Many-Objective Deployment Optimization for a Drone-Assisted Camera Network104
Graph Neural Network-Driven Traffic Forecasting for the Connected Internet of Vehicles103
B-Ride: Ride Sharing With Privacy-Preservation, Trust and Fair Payment Atop Public Blockchain98
Privacy-Aware Cross-Platform Service Recommendation Based on Enhanced Locality-Sensitive Hashing93
Blockchain-Enabled Authentication Handover With Efficient Privacy Protection in SDN-Based 5G Networks90
TSMAE: A Novel Anomaly Detection Approach for Internet of Things Time Series Data Using Memory-Augmented Autoencoder88
Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things86
VFChain: Enabling Verifiable and Auditable Federated Learning via Blockchain Systems84
Event-Triggered Adaptive Fault-Tolerant Pinning Control for Cluster Consensus of Heterogeneous Nonlinear Multi-Agent Systems Under Aperiodic DoS Attacks84
Mobi-IoST: Mobility-Aware Cloud-Fog-Edge-IoT Collaborative Framework for Time-Critical Applications82
Dynamic Digital Twin and Federated Learning With Incentives for Air-Ground Networks82
Data-Driven Intrusion Detection for Intelligent Internet of Vehicles: A Deep Convolutional Neural Network-Based Method81
An Intelligent Collaboration Trust Interconnections System for Mobile Information Control in Ubiquitous 5G Networks73
A Task-Oriented User Selection Incentive Mechanism in Edge-Aided Mobile Crowdsensing73
Blockchain-Enabled Accountability Mechanism Against Information Leakage in Vertical Industry Services72
Edge Computing Driven Low-Light Image Dynamic Enhancement for Object Detection72
Highly-Accurate Community Detection via Pointwise Mutual Information-Incorporated Symmetric Non-Negative Matrix Factorization70
Privacy Protection of Medical Data Based on Multi-Scroll Memristive Hopfield Neural Network70
Deep Learning Based Radio Resource Management in NOMA Networks: User Association, Subchannel and Power Allocation70
Improved Deep Convolutional Neural Network Based Malicious Node Detection and Energy-Efficient Data Transmission in Wireless Sensor Networks69
Deep Learning-Embedded Social Internet of Things for Ambiguity-Aware Social Recommendations69
Finite-Time Fuzzy Adaptive Consensus for Heterogeneous Nonlinear Multi-Agent Systems68
Continuous Influence-Based Community Partition for Social Networks67
Channel Attention Image Steganography With Generative Adversarial Networks67
Intelligent Ubiquitous Network Accessibility for Wireless-Powered MEC in UAV-Assisted B5G67
Memristor-Based Design of Sparse Compact Convolutional Neural Network67
RL-Routing: An SDN Routing Algorithm Based on Deep Reinforcement Learning66
Design of Blockchain-Based Lightweight V2I Handover Authentication Protocol for VANET64
AESMOTE: Adversarial Reinforcement Learning With SMOTE for Anomaly Detection64
A Privacy-Preserving Federated Learning for Multiparty Data Sharing in Social IoTs64
Resource Pricing and Allocation in MEC Enabled Blockchain Systems: An A3C Deep Reinforcement Learning Approach64
Periodic-Aware Intelligent Prediction Model for Information Diffusion in Social Networks64
Federated Learning Empowered Computation Offloading and Resource Management in 6G-V2X63
SEDMDroid: An Enhanced Stacking Ensemble Framework for Android Malware Detection63
Observer-Based Dynamic Event-Triggered Strategies for Leader-Following Consensus of Multi-Agent Systems With Disturbances62
FedSteg: A Federated Transfer Learning Framework for Secure Image Steganalysis60
Intelligent UAVs Trajectory Optimization From Space-Time for Data Collection in Social Networks58
An Efficient Randomized Algorithm for Rumor Blocking in Online Social Networks57
Achieving Acceleration for Distributed Economic Dispatch in Smart Grids Over Directed Networks55
Privacy-Preserving Auction for Big Data Trading Using Homomorphic Encryption55
Impulsive Synchronization of Derivative Coupled Neural Networks With Cluster-Tree Topology55
Distributed Dynamic Self-Triggered Control for Uncertain Complex Networks With Markov Switching Topologies and Random Time-Varying Delay54
I/Q Imbalance Aware Nonlinear Wireless-Powered Relaying of B5G Networks: Security and Reliability Analysis53
2D Federated Learning for Personalized Human Activity Recognition in Cyber-Physical-Social Systems53
Joint Computation Offloading and Scheduling Optimization of IoT Applications in Fog Networks53
Ultimate Boundedness Control for Networked Singularly Perturbed Systems With Deception Attacks: A Markovian Communication Protocol Approach53
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