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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:

Reward (Mis)design for autonomous driving
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, et al.
Artificial Intelligence (2022) Vol. 316, pp. 103829-103829
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

End-to-End Autonomous Driving: Challenges and Frontiers
Li Chen, Penghao Wu, Kashyap Chitta, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 10164-10183
Open Access | Times Cited: 87
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions
Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao, et al.
IEEE Access (2024) Vol. 12, pp. 101603-101625
Open Access | Times Cited: 48
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods
Yuji Cao, Huan Zhao, Yuheng Cheng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024), pp. 1-21
Open Access | Times Cited: 11
Human as AI mentor: Enhanced human-in-the-loop reinforcement learning for safe and efficient autonomous driving
Zilin Huang, Zihao Sheng, Chengyuan Ma, et al.
Communications in Transportation Research (2024) Vol. 4, pp. 100127-100127
Open Access | Times Cited: 10
The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications
Serena Booth, W. Bradley Knox, Julie Shah, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 5, pp. 5920-5929
Open Access | Times Cited: 20
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios
Yiren Lu, Justin Fu, George Tucker, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 7553-7560
Open Access | Times Cited: 19
APPL: Adaptive Planner Parameter Learning
Xuesu Xiao, Zizhao Wang, Zifan Xu, et al.
Robotics and Autonomous Systems (2022) Vol. 154, pp. 104132-104132
Open Access | Times Cited: 24
Uncertainty-Aware Model-Based Offline Reinforcement Learning for Automated Driving
Christopher P. Diehl, Timo Sievernich, Martin Krüger, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 2, pp. 1167-1174
Closed Access | Times Cited: 14
Relationship Between Trust in the Artificial Intelligence Creator and Trust in Artificial Intelligence Systems: The Crucial Role of Artificial Intelligence Alignment and Steerability
Kambiz Saffarizadeh, Mark Keil, Likoebe M. Maruping
Journal of Management Information Systems (2024) Vol. 41, Iss. 3, pp. 645-681
Closed Access | Times Cited: 5
Survey of Autonomous Vehicles’ Collision Avoidance Algorithms
Meryem Hamidaoui, Mohamed Zakariya Talhaoui, Mingchu Li, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 395-395
Open Access
Inferring Pedestrian Decision-Making Through Inverse Reinforcement Learning
X. Yang, Yang Liu, Arnab Majumdar, et al.
Lecture notes in computer science (2025), pp. 87-97
Closed Access
Toward Human-Like Social Robot Navigation: A Large-Scale, Multi-Modal, Social Human Navigation Dataset
Duc Minh Nguyen, Mohammad Nazeri, Amirreza Payandeh, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023)
Open Access | Times Cited: 8
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: 2
Offline Imitation Learning with Model-based Reverse Augmentation
Jie-Jing Shao, H. C. Shi, Lan-Zhe Guo, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 2608-2617
Open Access | Times Cited: 2
RRT-guided experience generation for reinforcement learning in autonomous lane keeping
Tamás Bécsi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Reward Design for Intelligent Intersection Control to Reduce Emission
Bálint Kővári, Bálint Pelenczei, Szilárd Aradi, et al.
IEEE Access (2022) Vol. 10, pp. 39691-39699
Open Access | Times Cited: 8
Human as AI Mentor: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving
Zilin Huang, Zihao Sheng, Chengyuan Ma, et al.
arXiv (Cornell University) (2024)
Open Access | Times Cited: 1
Isoperimetric Constraint Inference for Discrete-Time Nonlinear Systems Based on Inverse Optimal Control
Qinglai Wei, Tao Li, Jie Zhang, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 9, pp. 5493-5505
Closed Access | Times Cited: 1
Safety of Human–Artificial Intelligence Systems: Applying Safety Science to Analyze Loopholes in Interactions between Human Organizations, Artificial Intelligence, and Individual People
Stephen Fox, Juan G. Victores
Informatics (2024) Vol. 11, Iss. 2, pp. 36-36
Open Access | Times Cited: 1
Managing the unknown in machine learning: Definitions, related areas, recent advances, and prospects
Marcos Barcina-Blanco, Jesús L. Lobo, Pablo G. Bringas, et al.
Neurocomputing (2024) Vol. 599, pp. 128073-128073
Open Access | Times Cited: 1
Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions
Daniel Bogdoll, Jing Qin, Moritz Nekolla, et al.
(2024), pp. 14198-14204
Open Access | Times Cited: 1
Traffic navigation via reinforcement learning with episodic-guided prioritized experience replay
Hossein Hassani, Soodeh Nikan, Abdallah Shami
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109147-109147
Open Access | Times Cited: 1
Research on Reinforcement-Learning-Based Truck Platooning Control Strategies in Highway On-Ramp Regions
Jiajia Chen, Zheng Zhou, Yue Duan, et al.
World Electric Vehicle Journal (2023) Vol. 14, Iss. 10, pp. 273-273
Open Access | Times Cited: 3
Skills to Drive: Successor Features for Autonomous Highway Pilot
László Szőke, Szilárd Aradi, Tamás Bécsi, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 10, pp. 18707-18718
Open Access | Times Cited: 4
Q-learning with Long-term Action-space Shaping to Model Complex Behavior for Autonomous Lane Changes
Gabriel Kalweit, Maria Huegle, Moritz Werling, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021), pp. 5641-5648
Closed Access | Times Cited: 4
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