IEEE Transactions on Vehicular Technology

Papers
(The H4-Index of IEEE Transactions on Vehicular Technology is 76. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Intelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design319
Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning225
Energy-Efficient Design of IRS-NOMA Networks197
Two-Layer Federated Learning With Heterogeneous Model Aggregation for 6G Supported Internet of Vehicles185
Attribute-Based Encryption With Parallel Outsourced Decryption for Edge Intelligent IoV183
SecAuthUAV: A Novel Authentication Scheme for UAV-Ground Station and UAV-UAV Communication182
Automatic Modulation Classification Using CNN-LSTM Based Dual-Stream Structure158
Terahertz Multi-User Massive MIMO With Intelligent Reflecting Surface: Beam Training and Hybrid Beamforming155
Blockchain and Federated Learning for Collaborative Intrusion Detection in Vehicular Edge Computing155
Combined State of Charge and State of Energy Estimation of Lithium-Ion Battery Using Dual Forgetting Factor-Based Adaptive Extended Kalman Filter for Electric Vehicle Applications155
Low Complexity Iterative Rake Decision Feedback Equalizer for Zero-Padded OTFS Systems154
Battery-Involved Energy Management for Hybrid Electric Bus Based on Expert-Assistance Deep Deterministic Policy Gradient Algorithm150
Joint Waveform Design and Passive Beamforming for RIS-Assisted Dual-Functional Radar-Communication System148
Predictive Battery Health Management With Transfer Learning and Online Model Correction145
Remaining Useful Life Assessment for Lithium-Ion Batteries Using CNN-LSTM-DNN Hybrid Method144
Longitudinal Vehicle Speed Estimation for Four-Wheel-Independently-Actuated Electric Vehicles Based on Multi-Sensor Fusion133
Adaptive Fuzzy Backstepping-Based Formation Control of Unmanned Surface Vehicles With Unknown Model Nonlinearity and Actuator Saturation129
Joint Waveform and Discrete Phase Shift Design for RIS-Assisted Integrated Sensing and Communication System Under Cramer-Rao Bound Constraint126
Analysis of Inter-Satellite Link Paths for LEO Mega-Constellation Networks124
Priority-Aware Task Offloading in Vehicular Fog Computing Based on Deep Reinforcement Learning121
Fault Tolerant Control for Dynamic Positioning of Unmanned Marine Vehicles Based on T-S Fuzzy Model With Unknown Membership Functions116
Optimizing Age of Information Through Aerial Reconfigurable Intelligent Surfaces: A Deep Reinforcement Learning Approach114
Achieving Reliable and Secure Communications in Wireless-Powered NOMA Systems110
An Integrated Method of the Future Capacity and RUL Prediction for Lithium-Ion Battery Pack110
Dynamic Offloading for Multiuser Muti-CAP MEC Networks: A Deep Reinforcement Learning Approach109
An Integrated Framework of Decision Making and Motion Planning for Autonomous Vehicles Considering Social Behaviors109
Multi-Agent Deep Reinforcement Learning for Computation Offloading and Interference Coordination in Small Cell Networks108
A Method of State-of-Charge Estimation for EV Power Lithium-Ion Battery Using a Novel Adaptive Extended Kalman Filter107
Active Reconfigurable Intelligent Surface Aided Secure Transmission106
Energy-Latency Tradeoff for Dynamic Computation Offloading in Vehicular Fog Computing106
Age of Information Aware Trajectory Planning of UAVs in Intelligent Transportation Systems: A Deep Learning Approach104
Beyond Intelligent Reflecting Surfaces: Reflective-Transmissive Metasurface Aided Communications for Full-Dimensional Coverage Extension100
Autonomous Tracking Using a Swarm of UAVs: A Constrained Multi-Agent Reinforcement Learning Approach99
Joint Optimization of Handover Control and Power Allocation Based on Multi-Agent Deep Reinforcement Learning99
Deep Reinforcement Learning Based Latency Minimization for Mobile Edge Computing With Virtualization in Maritime UAV Communication Network97
Pervasive Wireless Channel Modeling Theory and Applications to 6G GBSMs for All Frequency Bands and All Scenarios97
Multi-Agent Reinforcement Learning Aided Intelligent UAV Swarm for Target Tracking95
Derivation of OTFS Modulation From First Principles95
Distributed Deep Reinforcement Learning-Based Energy and Emission Management Strategy for Hybrid Electric Vehicles94
Privacy-Preserving Blockchain-Based Energy Trading Schemes for Electric Vehicles91
Vision-Aided 6G Wireless Communications: Blockage Prediction and Proactive Handoff91
UAV Trajectory Planning in Wireless Sensor Networks for Energy Consumption Minimization by Deep Reinforcement Learning91
Impact of UAV Rotation on MIMO Channel Characterization for Air-to-Ground Communication Systems90
Centralized Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization89
Personalized Adaptive Cruise Control Based on Online Driving Style Recognition Technology and Model Predictive Control88
Semi-Distributed Resource Management in UAV-Aided MEC Systems: A Multi-Agent Federated Reinforcement Learning Approach88
An Efficient and Provably Secure ECC-Based Conditional Privacy-Preserving Authentication for Vehicle-to-Vehicle Communication in VANETs88
Integrated Statistical Test of Signal Distributions and Access Point Contributions for Wi-Fi Indoor Localization88
Deep Reinforcement Learning Based Resource Management for DNN Inference in Industrial IoT87
Joint Multi-Task Offloading and Resource Allocation for Mobile Edge Computing Systems in Satellite IoT87
Estimating State of Charge for xEV Batteries Using 1D Convolutional Neural Networks and Transfer Learning87
Sound Based Fault Diagnosis for RPMs Based on Multi-Scale Fractional Permutation Entropy and Two-Scale Algorithm87
Improving Physical Layer Security for Reconfigurable Intelligent Surface Aided NOMA 6G Networks86
On the Design of Mutual Authentication and Key Agreement Protocol in Internet of Vehicles-Enabled Intelligent Transportation System86
Spectral Efficiency Optimization for Next Generation NOMA-Enabled IoT Networks86
Max-Min Fair Energy-Efficient Beamforming Design for Intelligent Reflecting Surface-Aided SWIPT Systems With Non-Linear Energy Harvesting Model86
JRNet: Jamming Recognition Networks for Radar Compound Suppression Jamming Signals86
UAV-Enabled Wireless Power Transfer With Base Station Charging and UAV Power Consumption85
Making the Case for Centralized Automotive E/E Architectures85
An Efficient Privacy-Preserving Authenticated Key Agreement Scheme for Edge-Assisted Internet of Drones85
Federated Learning Assisted Multi-UAV Networks85
Unknown Input Observer Based Approach for Distributed Tube-Based Model Predictive Control of Heterogeneous Vehicle Platoons84
Autonomous Pilot of Unmanned Surface Vehicles: Bridging Path Planning and Tracking84
Computation Rate Maximization for Intelligent Reflecting Surface Enhanced Wireless Powered Mobile Edge Computing Networks84
MIMO-SAR: A Hierarchical High-Resolution Imaging Algorithm for mmWave FMCW Radar in Autonomous Driving83
Secure Vehicular Communications Through Reconfigurable Intelligent Surfaces83
Consensus Mechanism for Blockchain-Enabled Vehicle-to-Vehicle Energy Trading in the Internet of Electric Vehicles82
Intelligent Reflecting Surface Enabled Secure Cooperative Transmission for Satellite-Terrestrial Integrated Networks81
Generation of Cooperative Perception Messages for Connected and Automated Vehicles81
UAV Communications for Sustainable Federated Learning81
Anomaly Detection for In-Vehicle Network Using CNN-LSTM With Attention Mechanism79
Contactless Fault Diagnosis for Railway Point Machines Based on Multi-Scale Fractional Wavelet Packet Energy Entropy and Synchronous Optimization Strategy79
Performance Analysis of the Hybrid Satellite-Terrestrial Relay Network With Opportunistic Scheduling Over Generalized Fading Channels78
Enhancing Secrecy Performance for STAR-RIS NOMA Networks77
Learning-Based Computation Offloading Approaches in UAVs-Assisted Edge Computing77
Reconfigurable Intelligent Surface-Assisted Secure Mobile Edge Computing Networks77
Rate-Splitting Multiple Access for Intelligent Reflecting Surface Aided Multi-User Communications76
Performance of Joint Sensing-Communication Cooperative Sensing UAV Network76
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