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 26-50 of 73 citing articles:

Platoon-based Control Strategy in Mixed Traffic to Improve Ramp Merging Efficiency and Fuel Reduction
Chenxi Zhang, Minghui Ma, Shidong Liang, et al.
Physica A Statistical Mechanics and its Applications (2024) Vol. 645, pp. 129836-129836
Closed Access | Times Cited: 2

Progressive virtual risk-based vehicle trajectory optimization in mixed traffic flow
Haozhan Ma, Qian Chen, Linheng Li, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 165, pp. 104701-104701
Closed Access | Times Cited: 2

Enhancing Autonomous Driving Navigation Using Soft Actor-Critic
Badr Ben Elallid, Nabil Benamar, Miloud Bagaa, et al.
Future Internet (2024) Vol. 16, Iss. 7, pp. 238-238
Open Access | Times Cited: 2

Adversarial Testing with Reinforcement Learning: A Case Study on Autonomous Driving
Andréa Doreste, Matteo Biagiola, Paolo Tonella
(2024), pp. 293-304
Closed Access | Times Cited: 2

Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control
Zihao Sheng, Zilin Huang, Sikai Chen
Communications in Transportation Research (2024) Vol. 4, pp. 100142-100142
Open Access | Times Cited: 2

Privacy-Preserving Data-Enabled Predictive Leading Cruise Control in Mixed Traffic
Kaixiang Zhang, Kaian Chen, Zhaojian Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 5, pp. 3467-3482
Open Access | Times Cited: 5

Recent Progress in Energy Management of Connected Hybrid Electric Vehicles Using Reinforcement Learning
Min Hua, Bin Shuai, Quan Zhou, et al.
International Journal of Automotive Manufacturing and Materials (2023), pp. 6-6
Open Access | Times Cited: 4

RAMPART: Reinforcing Autonomous Multi-agent Protection through Adversarial Resistance in Transportation
Md Tamjid Hossain, Hung Manh La, Shahriar Badsha
ACM Journal on Autonomous Transportation Systems (2024) Vol. 1, Iss. 4, pp. 1-25
Open Access | Times Cited: 1

A Multi-Level Dempster-Shafer and Reinforcement Learning-Based Reputation System for Connected Vehicle Security
Pranay Chowdary Jasti, Henry Griffith, Heena Rathore
(2024), pp. 714-720
Closed Access | Times Cited: 1

A methodology of cooperative driving based on microscopic traffic prediction
Boris S. Kerner, Sergey L. Klenov, Vincent Wiering, et al.
Physica A Statistical Mechanics and its Applications (2024) Vol. 643, pp. 129780-129780
Open Access | Times Cited: 1

Deep Reinforcement Learning-Based Autonomous Driving Strategy under On-Ramp Merge Scenario
Jaehwi Lee, Chanin Eom, Dongsu Lee, et al.
Transactions of Korean Society of Automotive Engineers (2024) Vol. 32, Iss. 7, pp. 569-581
Open Access | Times Cited: 1

VN-MADDPG: A Variable-Noise-Based Multi-Agent Reinforcement Learning Algorithm for Autonomous Vehicles at Unsignalized Intersections
Hao Zhang, Yu Du, Shixin Zhao, et al.
Electronics (2024) Vol. 13, Iss. 16, pp. 3180-3180
Open Access | Times Cited: 1

Reinforcement-Learning-Based Multilane Cooperative Control for On-Ramp Merging in Mixed-Autonomy Traffic
L.F. Liu, Xiaoxuan Li, Yongfu Li, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 24, pp. 39809-39819
Closed Access | Times Cited: 1

Control Strategy for Ramp Traffic Based on Improved ALINEA Algorithm
Zhaolei Zhang, Wenjie Miao, Wei Hao, et al.
Journal of Transportation Engineering Part A Systems (2024) Vol. 150, Iss. 11
Closed Access | Times Cited: 1

Distributed Learning in Intelligent Transportation Systems: A Survey
Qiong Li, Wanlei Zhou, Xi Zheng
Information (2024) Vol. 15, Iss. 9, pp. 550-550
Open Access | Times Cited: 1

Sequential service restoration with grid-interactive flexibility from building AC systems for resilient microgrids under endogenous and exogenous uncertainties
Cheng Ma, Shunbo Lei, Dong Chen, et al.
Applied Energy (2024) Vol. 377, pp. 124351-124351
Closed Access | Times Cited: 1

Investigating Autonomous Vehicle Driving Strategies in Highway Ramp Merging Zones
Zhimian Chen, Yizeng Wang, Hao Hu, et al.
Mathematics (2024) Vol. 12, Iss. 23, pp. 3859-3859
Open Access | Times Cited: 1

Testing of Deep Reinforcement Learning Agents with Surrogate Models
Matteo Biagiola, Paolo Tonella
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3

Knowledge transfer in multi-agent reinforcement learning with incremental number of agents
Wenzhang Liu, Lu Dong, Jian Liu, et al.
Journal of Systems Engineering and Electronics (2022) Vol. 33, Iss. 2, pp. 447-460
Open Access | Times Cited: 5

A Comparative Study on End-to-End Learning for Self-Driving Cars
Shivam Kumar, Mohammad Asif Pir, Jeny Rajan, et al.
Lecture notes in networks and systems (2024), pp. 299-310
Closed Access

Detecting and Mitigating Colluding Attacks in Connected Vehicles using Reinforcement Learning
Pranay Chowdary Jasti, Henry Griffith, Heena Rathore
2023 IEEE International Conference on Consumer Electronics (ICCE) (2024), pp. 1-6
Closed Access

Optimizing Risk-Aware Task Migration Algorithm Among Multiplex UAV Groups Through Hybrid Attention Multi-Agent Reinforcement Learning
Yuanshuang Jiang, Kai Di, Ruiyi Qian, et al.
Tsinghua Science & Technology (2024) Vol. 30, Iss. 1, pp. 318-330
Open Access

Decoupling Patrolling Tasks for Water Quality Monitoring: A Multi-Agent Deep Reinforcement Learning Approach
Dame Seck Diop, Samuel Yanes Luis, Manuel A. Perales‐Esteve, et al.
IEEE Access (2024) Vol. 12, pp. 75559-75576
Open Access

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