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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:

Multi-agent reinforcement learning for cooperative lane changing of connected and autonomous vehicles in mixed traffic
Wei Zhou, Dong Chen, Jun Yan, et al.
Autonomous Intelligent Systems (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives
Siyu Teng, Xuemin Hu, Peng Deng, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 8, Iss. 6, pp. 3692-3711
Open Access | Times Cited: 272
A Systematic Survey of Control Techniques and Applications in Connected and Automated Vehicles
Wei Liu, Min Hua, Zhiyun Deng, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 24, pp. 21892-21916
Open Access | Times Cited: 57
The impacts of connected autonomous vehicles on mixed traffic flow: A comprehensive review
Yuchen Pan, Yu Wu, Lu Xu, et al.
Physica A Statistical Mechanics and its Applications (2024) Vol. 635, pp. 129454-129454
Closed Access | Times Cited: 22
Integrating reinforcement learning and large language models for crop production process management optimization and control through a new knowledge-based deep learning paradigm
Dong Chen, Yanbo Huang
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110028-110028
Closed Access | Times Cited: 1
Reinforcement Learning-Based Intelligent Control Strategies for Optimal Power Management in Advanced Power Distribution Systems: A Survey
Mudhafar Al-Saadi, Maher Al‐Greer, Michael Short
Energies (2023) Vol. 16, Iss. 4, pp. 1608-1608
Open Access | Times Cited: 33
A Systematic Literature Review of Autonomous and Connected Vehicles in Traffic Management
Fayez Alanazi
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1789-1789
Open Access | Times Cited: 21
A Comprehensive Survey on Multi-Agent Reinforcement Learning for Connected and Automated Vehicles
Pamul Yadav, Ashutosh Mishra, Shiho Kim
Sensors (2023) Vol. 23, Iss. 10, pp. 4710-4710
Open Access | Times Cited: 21
Sustainable Smart Cities through Multi-Agent Reinforcement Learning-Based Cooperative Autonomous Vehicles
Ali Louati, Hassen Louati, Elham Kariri, et al.
Sustainability (2024) Vol. 16, Iss. 5, pp. 1779-1779
Open Access | Times Cited: 13
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
A Faster Cooperative Lane Change Controller Enabled by Formulating in Spatial Domain
Haoran Wang, Wei Hao, Jaehyun So, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 8, Iss. 12, pp. 4685-4695
Closed Access | Times Cited: 16
Network Sliced Distributed Learning-as-a-Service for Internet of Vehicles Applications in 6G Non-Terrestrial Network Scenarios
David Naseh, Swapnil Sadashiv Shinde, Daniele Tarchi
Journal of Sensor and Actuator Networks (2024) Vol. 13, Iss. 1, pp. 14-14
Open Access | Times Cited: 5
Recent advances in reinforcement learning-based autonomous driving behavior planning: A survey
Jingda Wu, Chao Huang, Hailong Huang, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 164, pp. 104654-104654
Closed Access | Times Cited: 5
Safe deep reinforcement learning for flow control within the Internet of Vehicles
Anas Knari, Mohammed-Amine Koulali, Ahmed Khoumsi
Expert Systems with Applications (2025), pp. 126437-126437
Closed Access
IntNet: A Communication-Driven Multi-Agent Reinforcement Learning Framework for Cooperative Autonomous Driving
Leandro Parada, Kevin Yu, Panagiotis Angeloudis
IEEE Robotics and Automation Letters (2025) Vol. 10, Iss. 3, pp. 2478-2485
Closed Access
A Hybrid Control Model for Platoons at Mixed-Traffic Freeways Based on Deep Reinforcement Learning
Han Li, Xinxin Zhou, Sheng Liu, et al.
Lecture notes in computer science (2025), pp. 349-362
Closed Access
Efficient and accurate road crack detection technology based on YOLOv8-ES
Kaili Zeng, Rui Fan, Xiaoyu Tang
Autonomous Intelligent Systems (2025) Vol. 5, Iss. 1
Open Access
Multi-Agent Reinforcement Learning for task allocation in the Internet of Vehicles: Exploring benefits and paving the future
Inam Ullah, Sushil Kumar Singh, Deepak Adhikari, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101878-101878
Closed Access
Multi-objective Multi-agent Reinforcement Learning for Autonomous Driving in Mixed-Traffic Environments
Franz Herm, Atanu Mazumdar, Tinkle Chugh
Lecture notes in computer science (2025), pp. 192-207
Closed Access
Eco-cooperative adaptive cruise control for platoons in mixed traffic using single-agent and multi-agent reinforcement learning
Zhiwei Yang, Zuduo Zheng, Jiwon Kim, et al.
Transportation Research Part D Transport and Environment (2025) Vol. 142, pp. 104658-104658
Open Access
Cooperative traffic optimization with multi-agent reinforcement learning and evolutionary strategy: Bridging the gap between micro and macro traffic control
Jianshuai Feng, Kaize Lin, Tianyu Shi, et al.
Physica A Statistical Mechanics and its Applications (2024) Vol. 647, pp. 129734-129734
Closed Access | Times Cited: 4
MABQN: Multi-agent reinforcement learning algorithm with discrete policy
Qing Xie, Zicheng Wang, Yuyuan Fang, et al.
Neurocomputing (2025), pp. 129552-129552
Closed Access
Multi-Agent Multi-Target Tracking Using Curriculum Learning for Reinforcement Learning
Chris Vincent, Andrea Henshall, Begüm Şenses Cannataro, et al.
AIAA SCITECH 2022 Forum (2025)
Closed Access
Counterfactual experience augmented off-policy reinforcement learning
Sunbowen Lee, Yancheng Gong, Chao Deng
Neurocomputing (2025), pp. 130017-130017
Closed Access
Optimal lane allocation strategy for shared autonomous vehicles mixed with regular vehicles
Yangbeibei Ji, Jingwen Liu, Hanwan Jiang, et al.
Journal of Intelligent Transportation Systems (2024), pp. 1-21
Closed Access | Times Cited: 3
Safe and efficient manoeuvring for emergency vehicles in autonomous traffic using multi-agent proximal policy optimisation
Leandro Parada, Eduardo Candela, Luís Marques, et al.
Transportmetrica A Transport Science (2023), pp. 1-29
Open Access | Times Cited: 9
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