OOIR: Observatory of International Research

Papers

(The H4-Index of Vehicular Communications is 25. 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.)

Article	Citations
VANET applications: Past, present, and future	69
Evolution of IoT-enabled connectivity and applications in automotive industry: A review	64
Survey on Artificial Intelligence (AI) techniques for Vehicular Ad-hoc Networks (VANETs)	53
Vehicular intelligence in 6G: Networking, communications, and computing	47
Decentralized federated learning for extended sensing in 6G connected vehicles	44
Autonomous vehicles in 5G and beyond: A survey	44
Futuristic view of the Internet of Quantum Drones: Review, challenges and research agenda	40
Security of Vehicular Ad Hoc Networks using blockchain: A comprehensive review	40
A novel Software-Defined Drone Network (SDDN)-based collision avoidance strategies for on-road traffic monitoring and management	40
A survey on road safety and traffic efficiency vehicular applications based on C-V2X technologies	38
A hybrid deep learning based intrusion detection system using spatial-temporal representation of in-vehicle network traffic	35
An agent-based self-protective method to secure communication between UAVs in unmanned aerial vehicle networks	31
A comprehensive survey on data dissemination in Vehicular Ad Hoc Networks	30
A survey on vehicular communication for cooperative truck platooning application	30
Security-enhanced three-party pairwise secret key agreement protocol for fog-based vehicular ad-hoc communications	30
Blockchain and AI technology convergence: Applications in transportation systems	28
Energy-efficient trajectory design for secure SWIPT systems assisted by UAV-IRS	28
Convolutional neural network-based intrusion detection system for AVTP streams in automotive Ethernet-based networks	28
Task assignment algorithms for unmanned aerial vehicle networks: A comprehensive survey	28
Rec-CNN: In-vehicle networks intrusion detection using convolutional neural networks trained on recurrence plots	28
Deep reinforcement learning approach for autonomous vehicle systems for maintaining security and safety using LSTM-GAN	27
Deep reinforcement learning techniques for vehicular networks: Recent advances and future trends towards 6G	27
Communication delay compensation for string stability of CACC system using LSTM prediction	26
A comprehensive survey on vehicular networking for safe and efficient driving in smart transportation: A focus on systems, protocols, and applications	26
A comprehensive survey on vehicular networks for smart roads: A focus on IP-based approaches	26

A security and privacy scheme based on node and message authentication and trust in fog-enabled VANET