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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles
Fei Ye, Shen Zhang, Pin Wang, et al.
2022 IEEE Intelligent Vehicles Symposium (IV) (2021)
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Deep reinforcement learning based control for Autonomous Vehicles in CARLA
Óscar Pérez-Gil, Rafael Barea, Elena López, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 3, pp. 3553-3576
Open Access | Times Cited: 89
Artificial Intelligence in Smart Logistics Cyber-Physical Systems: State-of-The-Arts and Potential Applications
Yang Liu, Xin Tao, Xin Li, et al.
IEEE Transactions on Industrial Cyber-Physical Systems (2023) Vol. 1, pp. 1-20
Open Access | Times Cited: 41
Continuous improvement of self-driving cars using dynamic confidence-aware reinforcement learning
Zhong Cao, Kun Jiang, Weitao Zhou, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 2, pp. 145-158
Closed Access | Times Cited: 32
Is High-Fidelity Important for Human-like Virtual Avatars in Human Computer Interactions?
Qiongdan Cao, Hui Yu, Paul Charisse, et al.
International Journal of Network Dynamics and Intelligence (2023), pp. 15-23
Open Access | Times Cited: 31
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning With Applications in Autonomous Driving
Carl-Johan Hoel, Krister Wolff, Leo Laine
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 6, pp. 6030-6041
Open Access | Times Cited: 22
Reinforcement Learning-Based Autonomous Driving at Intersections in CARLA Simulator
Rodrigo Gutiérrez-Moreno, Rafael Barea, Elena López, et al.
Sensors (2022) Vol. 22, Iss. 21, pp. 8373-8373
Open Access | Times Cited: 31
Multi-agent reinforcement learning for autonomous vehicles: a survey
Joris Dinneweth, Abderrahmane Boubezoul, René Mandiau, et al.
Autonomous Intelligent Systems (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 30
Trajectory Planning in Frenet Frame via Multi-Objective Optimization
Jianyu Huang, Z.C. He, Yutaka Arakawa, et al.
IEEE Access (2023) Vol. 11, pp. 70764-70777
Open Access | Times Cited: 16
Human–robot interaction through joint robot planning with large language models
Kosi Asuzu, Harjinder Singh, Moad Idrissi
Intelligent Service Robotics (2025)
Closed Access
Hierarchical Motion Planning and Tracking for Autonomous Vehicles Using Global Heuristic Based Potential Field and Reinforcement Learning Based Predictive Control
Guodong Du, Yuan Zou, Xudong Zhang, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 8, pp. 8304-8323
Open Access | Times Cited: 14
Autonomous Vehicle Decision-Making and Control in Complex and Unconventional Scenarios—A Review
Faizan Sana, Nasser L. Azad, Kaamran Raahemifar
Machines (2023) Vol. 11, Iss. 7, pp. 676-676
Open Access | Times Cited: 12
Deep reinforcement learning navigation via decision transformer in autonomous driving
Lun Ge, Xiaoguang Zhou, Yongqiang Li, et al.
Frontiers in Neurorobotics (2024) Vol. 18
Open Access | Times Cited: 4
Integration of planning and deep reinforcement learning in speed and lane change decision-making for highway autonomous driving
Sunan Zhang, Weichao Zhuang, Bingbing Li, et al.
IEEE Transactions on Transportation Electrification (2024) Vol. 11, Iss. 1, pp. 521-535
Closed Access | Times Cited: 3
A Comprehensive Review on Deep Learning-Based Motion Planning and End-to-End Learning for Self-Driving Vehicle
Manikandan Ganesan, Sivanathan Kandhasamy, C. Bharatiraja, et al.
IEEE Access (2024) Vol. 12, pp. 66031-66067
Open Access | Times Cited: 3
Review of Decision-Making and Planning Approaches in Automated Driving
Fernando Garrido, Paulo Resende
IEEE Access (2022) Vol. 10, pp. 100348-100366
Open Access | Times Cited: 13
Reconstruction-Based Adversarial Attack Detection in Vision-Based Autonomous Driving Systems
Manzoor Hussain, Jang‐Eui Hong
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 4, pp. 1589-1611
Open Access | Times Cited: 7
Level-$K$ Reasoning, Deep Reinforcement Learning, and Monte Carlo Decision Process for Fast and Safe Automated Lane Change and Speed Management
Shahab Karimi, Arash Karimi, Ardalan Vahidi
IEEE Transactions on Intelligent Vehicles (2023) Vol. 8, Iss. 6, pp. 3556-3571
Closed Access | Times Cited: 6
A Survey of Decision-Making Safety Assessment Methods for Autonomous Vehicles
Zhaowen Pang, Zhenbin Chen, Jiayi Lu, et al.
IEEE Intelligent Transportation Systems Magazine (2023) Vol. 16, Iss. 1, pp. 74-103
Closed Access | Times Cited: 6
A review of cyber attacks on sensors and perception systems in autonomous vehicle
Taminul Islam, Md. Alif Sheakh, Anjuman Naher Jui, et al.
Journal of Economy and Technology (2023) Vol. 1, pp. 242-258
Open Access | Times Cited: 5
Deep-Reinforcement-Learning-Based Collision Avoidance of Autonomous Driving System for Vulnerable Road User Safety
Haochong Chen, Xincheng Cao, Levent Güvenç, et al.
Electronics (2024) Vol. 13, Iss. 10, pp. 1952-1952
Open Access | Times Cited: 1
Artificial Intelligence in Electric Machine Drives: Advances and Trends
Shen Zhang
(2021)
Open Access | Times Cited: 11
Human-guided reinforcement learning: methodology and application to autonomous driving
Jingda Wu
(2023)
Open Access | Times Cited: 4
A Risk-Averse Preview-Based Q-Learning Algorithm: Application to Highway Driving of Autonomous Vehicles
Majid Mazouchi, Subramanya Nageshrao, Hamidreza Modares
IEEE Transactions on Control Systems Technology (2023) Vol. 31, Iss. 4, pp. 1803-1818
Open Access | Times Cited: 3
A Study on an Enhanced Autonomous Driving Simulation Model Based on Reinforcement Learning Using a Collision Prevention Model
Jonghoon Kim, Jun‐Ho Huh, Se-Hoon Jung, et al.
Electronics (2021) Vol. 10, Iss. 18, pp. 2271-2271
Open Access | Times Cited: 8
Safety-Aware Autonomous Systems : Preparing Robots for Life in the Real World
Mattias Tiger
Linköping studies in science and technology. Dissertations (2022)
Open Access | Times Cited: 4
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