IEEE Intelligent Transportation Systems Magazine

Papers
(The H4-Index of IEEE Intelligent Transportation Systems Magazine is 28. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Comments on “Let Us Reinstate the Public Trust in the Safety Benefits of Automated Vehicles” [Letter to the Editor]198
Masthead98
TechRxiv: Share Your Preprint Research With the World!94
IEEE Feedback81
The Story of IEEE ICVES: The Dark Days Before China’s Boom in New Energy Vehicles [History and Perspectives]78
Still on the Way: Too Many Traffic Scenarios? Not Enough! [Editor’s Column]77
Expected Effect of Adopting the eCall System on Reducing Traffic-Related Deaths and Social Costs75
Lane-Based Traffic Arrival Pattern Estimation Using License Plate Recognition Data74
Intelligent Distribution Transportation Route Planning Considering Traffic Congestion74
Brain-Inspired Driver Emotion Detection for Intelligent Cockpits Based on Real Driving Data69
Uncertainty-Aware Vehicle Energy Efficiency Prediction Using an Ensemble of Neural Networks68
Parallel Hierarchical Control-Based Efficiency Enhancement for Large-Scale Virtual Reality Traffic Simulation67
Predictive Trajectory Planning for On-Road Autonomous Vehicles Based on a Spatiotemporal Risk Field65
Enhanced Mobility With Connectivity and Automation: A Review of Shared Autonomous Vehicle Systems61
An Optimized Temporal-Spatial Gated Graph Convolution Network for Traffic Forecasting61
A Safety-Oriented Dynamic Moving Block Train Control System Based on Train-to-Train Communication55
IEEE Foundation52
IEEE Feedback47
Table of Contents43
On the Passenger Acceptance of Driverless Shuttles43
A Secure, Blockchain-Enabled Vehicular Sensor Communication Protocol With Deep Learning-Assisted Anomaly Detection40
TechRxiv: Share Your Preprint Research With the World!40
Table of Contents40
IEEE Feedback39
Learning the Driver Acceleration/Deceleration Behavior Under High-Speed Environments From Naturalistic Driving Data38
Distributed Stochastic Model Predictive Control for Heterogeneous Vehicle Platoons Subject to Modeling Uncertainties36
IEEE Tech RXIV-Share your preprint research with the world!31
William T. Scherer [In Memoriam]30
IEEE Foundation28
0.054309844970703