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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 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

Showing 1-25 of 30 citing articles:

GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control
Songyuan Zhang, Oswin So, Kunal Garg, et al.
IEEE Transactions on Robotics (2025) Vol. 41, pp. 1533-1552
Open Access | Times Cited: 1
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
Multi-UAV Path Planning and Following Based on Multi-Agent Reinforcement Learning
Xiaoru Zhao, Rennong Yang, Liangsheng Zhong, et al.
Drones (2024) Vol. 8, Iss. 1, pp. 18-18
Open Access | Times Cited: 9
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
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
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
WGO: a similarly encoded whale-goshawk optimization algorithm for uncertain cloud manufacturing service composition
Kezhou Chen, Tao Wang, Huimin Zhuo, et al.
Autonomous Intelligent Systems (2025) Vol. 5, Iss. 1
Open Access
Industrial Applications of AI in Aircraft Manufacturing: A PRISMA Systematic Literature Review
Pierrick BOUGAULT, Raphael Haddad, Liang Ma
Research Square (Research Square) (2025)
Closed Access
A cooperative jamming decision-making method based on multi-agent reinforcement learning
Bin Cai, Haoran Li, Naimin Zhang, et al.
Autonomous Intelligent Systems (2025) Vol. 5, Iss. 1
Open Access
Particle swarm optimization based leader-follower cooperative control in multi-agent systems
Xin Wang, Dongsheng Yang, Shuang Chen
Applied Soft Computing (2023) Vol. 151, pp. 111130-111130
Closed Access | Times Cited: 10
Resilient multi-agent RL: introducing DQ-RTS for distributed environments with data loss
Lorenzo Canese, G.C. Cardarilli, Luca Di Nunzio, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
A Survey on Collaborative Learning for Intelligent Autonomous Systems
Julio César Santos dos Anjos, Kassiano J. Matteussi, Fernanda C. Orlandi, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 4, pp. 1-37
Closed Access | Times Cited: 9
Graph-based multi agent reinforcement learning for on-ramp merging in mixed traffic
Dongwei Xu, Biao Zhang, Qingwei Qiu, et al.
Applied Intelligence (2024) Vol. 54, Iss. 8, pp. 6400-6414
Closed Access | Times Cited: 2
A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving
Rainer Trauth, Alexander Hobmeier, Johannes Betz
2022 IEEE Intelligent Vehicles Symposium (IV) (2024), pp. 2413-2420
Open Access | Times Cited: 1
A Comprehensive Review on Safe Reinforcement Learning for Autonomous Vehicle Control in Dynamic Environments
Rohan Inamdar, S. Kavin Sundarr, Deepen Khandelwal, et al.
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 10, pp. 100810-100810
Open Access | Times Cited: 1
Multimodal Trajectory Prediction for Diverse Vehicle Types in Autonomous Driving with Heterogeneous Data and Physical Constraints
Maoning Ge, Kento Ohtani, Ming Ding, et al.
Sensors (2024) Vol. 24, Iss. 22, pp. 7323-7323
Open Access | Times Cited: 1
Credit assignment in heterogeneous multi-agent reinforcement learning for fully cooperative tasks
Kun Jiang, Wenzhang Liu, Yuanda Wang, et al.
Applied Intelligence (2023) Vol. 53, Iss. 23, pp. 29205-29222
Closed Access | Times Cited: 3
Autonomous air traffic separation assurance through machine learning
Han Yun-xiang, Huang Xiao-qiong
Journal of Industrial and Management Optimization (2024) Vol. 20, Iss. 10, pp. 3195-3204
Open Access
MuDE: Multi-agent decomposed reward-based exploration
Byunghyun Yoo, Sungwon Yi, Hyunwoo Kim, et al.
Neural Networks (2024) Vol. 179, pp. 106565-106565
Open Access
Unit coordination knowledge enhanced autonomous decision-making approach of heterogeneous UAV formation
Yuqian WU, Haoran Zhou, Ling Peng, et al.
Chinese Journal of Aeronautics (2024)
Open Access
Applying Opponent and Environment Modelling in Decentralised Multi-Agent Reinforcement Learning
Alexander Chernyavskiy, Aleksandr I. Panov, Alexey Skrynnik
(2024)
Closed Access
Solving Min-Max MTSP in a Reinforcement Learning context
Anda Buinoschi-Tîrpescu, Mihaela Breaban
Procedia Computer Science (2024) Vol. 246, pp. 1001-1010
Open Access
Applying opponent and environment modelling in decentralised multi-agent reinforcement learning
Alexander Chernyavskiy, Alexey Skrynnik, Aleksandr I. Panov
Cognitive Systems Research (2024), pp. 101306-101306
Closed Access
Integrated adaptive communication in multi-agent systems: Dynamic topology, frequency, and content optimization for efficient collaboration
Jianrui Wang, Yi Li, Yitian Hong, et al.
Neurocomputing (2024), pp. 129068-129068
Closed Access
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