IEEE Vehicular Technology Magazine

Papers
(The H4-Index of IEEE Vehicular Technology Magazine is 32. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Table of Contents234
IEEE App139
Front Cover136
Table of Contents130
Front Cover84
IEEE Dataport84
VTS Awards Presented at VTC2025-Fall in Chengdu, China [Awards]74
Lidar Object Perception Framework for Urban Autonomous Driving: Detection and State Tracking Based on Convolutional Gated Recurrent Unit and Statistical Approach72
Advancing Smart City Transformation: Using Connected and Intelligent Vehicular Systems as Resources71
Trustworthiness in Connected Autonomous Vehicles: Standards, Tradeoffs With Efficiency and Comfort, and Architectural Choices64
Leveraging RIS-Enabled Smart Signal Propagation for Solving Infeasible Localization Problems: Scenarios, Key Research Directions, and Open Challenges64
Toward Self-Sustainable Airborne Communication Networks: Comprehensive Modeling and Analysis of Energy Consumption and Harvesting59
Cellular Localization for Autonomous Driving: A Function Pull Approach to Safety-Critical Wireless Localization51
Toward 6G Multicell Orthogonal Time Frequency Space Systems: Interference Coordination and Cooperative Communications49
September 2022 Land Transportation News [Transportation Systems]47
IEEE Feedback46
VTS Bylaws Changes [Society News]46
Connecting the Mobile World With VTS [President’s Message]45
A Farewell Message [From the Editor]44
IEEE VTS Distinguished Lecturer Program43
Celebrating 75 Years of the IEEE VTS [President’s Message]43
Front Cover42
Front Cover41
VTC2022-Fall Call for Papers37
Partnering to Build the V2X Ecosystem [Connected and Automated Vehicles]36
Artificial Intelligence-Enhanced Scattering Modeling for Intelligent Transportation Systems: A New Approach35
Digital Twin-Empowered Vehicle–Road Cooperation: A Perception and Virtualization Paradigm for Connected and Automated Vehicles35
How Does a Digital Twin Network Work Well for Connected and Automated Vehicles: Joint Perception, Planning, and Control34
Positioning Evolutions in 5G Standardization: Potential, Solutions, and Challenges of Sidelink Positioning for Connected Mobility34
Generative artificial intelligence-oriented synthetic network: Toward Integrated Fine-Tuning and Inference When Generative Artificial Intelligence Meets Edge Intelligence in the Intelligent Internet o33
Robotaxis Will Always Need People [Connected and Automated Vehicles]32
Generative Artificial intelligence-Enhanced MultiModal Semantic Communication in Internet of Vehicles: System Design and Methodologies32
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