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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:

Continuous improvement of self-driving cars using dynamic confidence-aware reinforcement learning
Zhong Cao, Kun Jiang, Weitao Zhou, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 2, pp. 145-158
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Intelligent Identification of Moving Trajectory of Autonomous Vehicle Based on Friction Nano-Generator
Caichang Ding, Chao Li, Zenggang Xiong, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 3, pp. 3090-3097
Closed Access | Times Cited: 37
A Survey on an Emerging Safety Challenge for Autonomous Vehicles: Safety of the Intended Functionality
Hong Wang, Wenbo Shao, Chen Sun, et al.
Engineering (2024) Vol. 33, pp. 17-34
Open Access | Times Cited: 11
A deep reinforcement learning-based active suspension control algorithm considering deterministic experience tracing for autonomous vehicle
Cheng Wang, Xiaoxian Cui, Shijie Zhao, et al.
Applied Soft Computing (2024) Vol. 153, pp. 111259-111259
Closed Access | Times Cited: 9
Reinforcement Learning-Based Energy Management for Hybrid Power Systems: State-of-the-Art Survey, Review, and Perspectives
Xiaolin Tang, Jiaxin Chen, Yechen Qin, et al.
Chinese Journal of Mechanical Engineering (2024) Vol. 37, Iss. 1
Open Access | Times Cited: 9
How to Guarantee Driving Safety for Autonomous Vehicles in a Real-World Environment: A Perspective on Self-Evolution Mechanisms
Shuo Yang, Yanjun Huang, Li Li, et al.
IEEE Intelligent Transportation Systems Magazine (2024) Vol. 16, Iss. 2, pp. 41-54
Closed Access | Times Cited: 7
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
Human-like driving technology for autonomous electric vehicles
Hongliang Lu, Meixin Zhu, Hai Yang
Nature Reviews Electrical Engineering (2025)
Closed Access
Is human-like decision making explainable? Towards an explainable artificial intelligence for autonomous vehicles
Jiming Xie, Yan Zhang, Yaqin Qin, et al.
Transportation Research Interdisciplinary Perspectives (2025) Vol. 29, pp. 101278-101278
Open Access
Intelligent shipping: integrating autonomous maneuvering and maritime knowledge in the Singapore-Rotterdam Corridor
Liang Zhao, Mengqiao Xu, Lei Liu, et al.
Communications Engineering (2025) Vol. 4, Iss. 1
Open Access
Optimizing fractionation schedules for de-escalation radiotherapy in head and neck cancers using deep reinforcement learning
Feng Zhao, Xin Sun, Yuan‐Hua Chen, et al.
Radiotherapy and Oncology (2025), pp. 110833-110833
Closed Access
Data-driven energy management for electric vehicles using offline reinforcement learning
Yong Wang, Jingda Wu, Hongwen He, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Vision-Based Traffic Accident Detection and Anticipation: A Survey
Jianwu Fang, Jiahuan Qiao, Jianru Xue, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 34, Iss. 4, pp. 1983-1999
Open Access | Times Cited: 11
Integration of planning and deep reinforcement learning in speed and lane change decision-making for highway autonomous driving
Sunan Zhang, Weichao Zhuang, Bingbing Li, et al.
IEEE Transactions on Transportation Electrification (2024) Vol. 11, Iss. 1, pp. 521-535
Closed Access | Times Cited: 3
Autonomous mining through cooperative driving and operations enabled by parallel intelligence
Long Chen, Yuting Xie, Yuhang He, et al.
Communications Engineering (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 3
A Survey on Self-Evolving Autonomous Driving: A Perspective on Data Closed-Loop Technology
Xincheng Li, Zhaoyi Wang, Yanjun Huang, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 8, Iss. 11, pp. 4613-4631
Closed Access | Times Cited: 7
Stable training via elastic adaptive deep reinforcement learning for autonomous navigation of intelligent vehicles
Yujiao Zhao, Yong Ma, Guibing Zhu, et al.
Communications Engineering (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 2
An fNIRS dataset for driving risk cognition of passengers in highly automated driving scenarios
Xiaofei Zhang, Qiaoya Wang, Jun Li, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
A Unified Benchmark for Deep Reinforcement Learning-based Energy Management: Novel Training Ideas with The Unweighted Reward
Jiaxin Chen, Xiaolin Tang, Kai Yang
Energy (2024) Vol. 307, pp. 132687-132687
Closed Access | Times Cited: 2
Beyond Imitation: A Life-Long Policy Learning Framework for Path Tracking Control of Autonomous Driving
Cheng Gong, Chao Lu, Zirui Li, et al.
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 7, pp. 9786-9799
Open Access | Times Cited: 1
OPIMA: Optical Processing-in-Memory for Convolutional Neural Network Acceleration
Febin Sunny, Amin Shafiee, Abhishek Balasubramaniam, et al.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2024) Vol. 43, Iss. 11, pp. 3888-3899
Open Access | Times Cited: 1
Novel multiple access protocols against Q-learning-based tunnel monitoring using flying ad hoc networks
Bakri Awaji, M. M. Kamruzzaman, Ahmad Althuniabt, et al.
Wireless Networks (2023) Vol. 30, Iss. 2, pp. 987-1011
Closed Access | Times Cited: 3
Safe Reinforcement Learning for Lane-Changing with Comprehensive Analysis of Safety Detection
Shizhen Li, Shuo Yang, Liwen Wang, et al.
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2023), pp. 3253-3260
Closed Access | Times Cited: 3
Curling Strategy Teaching Case Design Based on Deep Reinforcement Learning
Guojun Liu, Qi Zhou, Ye Jin
Communications in computer and information science (2024), pp. 273-284
Closed Access
Bayesian Optimization for Auto-tuning Convolution Neural Network on GPU
Huming Zhu, Chendi Liu, Lingyun Zhang, et al.
Lecture notes in computer science (2024), pp. 478-489
Closed Access
An efficient and lightweight off-policy actor-critic reinforcement learning framework
Huaqing Zhang, Hongbin Ma, Xiaofei Zhang, et al.
Applied Soft Computing (2024) Vol. 163, pp. 111814-111814
Closed Access
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