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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:

Deep Multi-Agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic
Dong Chen, Mohammad R. Hajidavalloo, Zhaojian Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 11, pp. 11623-11638
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

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
Towards Robust Decision-Making for Autonomous Driving on Highway
Kai Yang, Xiaolin Tang, Sen Qiu, et al.
IEEE Transactions on Vehicular Technology (2023) Vol. 72, Iss. 9, pp. 11251-11263
Closed Access | Times Cited: 44
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
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
Foundation models in smart agriculture: Basics, opportunities, and challenges
Jiajia Li, Mingle Xu, Lirong Xiang, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109032-109032
Closed Access | Times Cited: 13
Enhancing Urban Intersection Efficiency: Visible Light Communication and Learning-Based Control for Traffic Signal Optimization and Vehicle Management
Manuel Augusto Vieira, Gonçalo Galvão, M. Vieira, et al.
Symmetry (2024) Vol. 16, Iss. 2, pp. 240-240
Open Access | Times Cited: 11
Towards robust car-following based on deep reinforcement learning
Fabian Hart, Ostap Okhrin, Martin Treiber
Transportation Research Part C Emerging Technologies (2024) Vol. 159, pp. 104486-104486
Open Access | Times Cited: 8
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
Trustworthy autonomous driving via defense-aware robust reinforcement learning against worst-case observational perturbations
Xiangkun He, Wenhui Huang, Chen Lv
Transportation Research Part C Emerging Technologies (2024) Vol. 163, pp. 104632-104632
Closed 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
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
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
Traffic control policies for minimizing the negative effect of Adaptive Cruise Control on highway
Hwapyeong Yu, Hwasoo Yeo
Transportation Research Part C Emerging Technologies (2025) Vol. 173, pp. 105063-105063
Closed Access
DRLMutation: A Comprehensive Framework for Mutation Testing in Deep Reinforcement Learning Systems
Jiapeng Li, Zheng Zheng, Xiaoting Du, et al.
ACM Transactions on Software Engineering and Methodology (2025)
Closed Access
A dual-layer path planning approach for ramp merging with integrated risk management
Renfei Wu, Junfeng Jiang, Wenqi Lu, et al.
Expert Systems with Applications (2025), pp. 127167-127167
Closed Access
Multi-Agent reinforcement learning framework for addressing Demand-Supply imbalance of Shared Autonomous Electric Vehicle
Cheng‐Qi Liu, Zelin Wang, Zhiyuan Liu, et al.
Transportation Research Part E Logistics and Transportation Review (2025) Vol. 197, pp. 104062-104062
Closed 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
Simulation optimization of highway hard shoulder running based on multi-agent deep deterministic policy gradient algorithm
Lipeng Hu, Jinjun Tang, Guoqing Zou, et al.
Alexandria Engineering Journal (2025) Vol. 117, pp. 99-115
Closed Access
FLDQN: Cooperative Multi-Agent Federated Reinforcement Learning for Solving Travel Time Minimization Problems in Dynamic Environments Using SUMO Simulation
Abdul Wahab Mamond, Majid Kundroo, Seong-eun Yoo, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 911-911
Open Access
Learning two-dimensional merging behaviour from vehicle trajectories with imitation learning
Jie Sun, Hai Yang
Transportation Research Part C Emerging Technologies (2024) Vol. 160, pp. 104530-104530
Closed Access | Times Cited: 3
Lane change trajectory prediction considering driving style uncertainty for autonomous vehicles
Guoying Chen, Zheng Gao, Min Hua, et al.
Mechanical Systems and Signal Processing (2023) Vol. 206, pp. 110854-110854
Closed Access | Times Cited: 9
Testing of Deep Reinforcement Learning Agents with Surrogate Models
Matteo Biagiola, Paolo Tonella
ACM Transactions on Software Engineering and Methodology (2023) Vol. 33, Iss. 3, pp. 1-33
Open Access | Times Cited: 9
Secure and Safe Control of Connected and Automated Vehicles Against False Data Injection Attacks
Guoxi Chen, Tiejun Wu, Xinde Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 12347-12360
Closed Access | Times Cited: 2
Multi-agent Reinforcement Learning for Safe Driving in On-ramp Merging of Autonomous Vehicles
Di Wang
(2024), pp. 644-651
Closed Access | Times Cited: 2
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
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