IEEE Vehicular Technology Magazine

Papers
(The H4-Index of IEEE Vehicular Technology Magazine is 30. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Table of Contents120
IEEE App113
Front Cover107
Table of Contents92
Lidar Object Perception Framework for Urban Autonomous Driving: Detection and State Tracking Based on Convolutional Gated Recurrent Unit and Statistical Approach85
Cellular Localization for Autonomous Driving: A Function Pull Approach to Safety-Critical Wireless Localization78
Front Cover70
Toward Self-Sustainable Airborne Communication Networks: Comprehensive Modeling and Analysis of Energy Consumption and Harvesting67
Leveraging RIS-Enabled Smart Signal Propagation for Solving Infeasible Localization Problems: Scenarios, Key Research Directions, and Open Challenges66
Toward 6G Multicell Orthogonal Time Frequency Space Systems: Interference Coordination and Cooperative Communications63
VTS Awards Presented at VTC2025-Fall in Chengdu, China [Awards]62
September 2022 Land Transportation News [Transportation Systems]56
IEEE Feedback55
VTS Bylaws Changes [Society News]55
Connecting the Mobile World With VTS [President’s Message]53
A Farewell Message [From the Editor]45
Celebrating 75 Years of the IEEE VTS [President’s Message]43
Artificial Intelligence-Enhanced Scattering Modeling for Intelligent Transportation Systems: A New Approach42
Positioning Evolutions in 5G Standardization: Potential, Solutions, and Challenges of Sidelink Positioning for Connected Mobility41
Generative artificial intelligence-oriented synthetic network: Toward Integrated Fine-Tuning and Inference When Generative Artificial Intelligence Meets Edge Intelligence in the Intelligent Internet o38
IEEE VTS Distinguished Lecturer Program38
Front Cover37
VTC2022-Fall Call for Papers34
Front Cover34
Vision-Assisted Millimeter-Wave Beam Management for Next-Generation Wireless Systems: Concepts, Solutions, and Open Challenges34
How Does a Digital Twin Network Work Well for Connected and Automated Vehicles: Joint Perception, Planning, and Control33
Reconfigurable Intelligent Surface Empowered Optimization for Spectrum Sharing: Scenarios and Methods32
Partnering to Build the V2X Ecosystem [Connected and Automated Vehicles]31
Legislation Supports Autonomous Vehicles But Not Connected Ones [Connected and Automated Vehicles]31
Generative Artificial intelligence-Enhanced MultiModal Semantic Communication in Internet of Vehicles: System Design and Methodologies30
Robotaxis Will Always Need People [Connected and Automated Vehicles]30
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