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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:

Uncertainty-Aware Model-Based Reinforcement Learning: Methodology and Application in Autonomous Driving
Jingda Wu, Zhiyu Huang, Chen Lv
IEEE Transactions on Intelligent Vehicles (2022) Vol. 8, Iss. 1, pp. 194-203
Closed Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles
Zhongxu Hu, Shanhe Lou, Yang Xing, et al.
IEEE Transactions on Intelligent Vehicles (2022) Vol. 7, Iss. 3, pp. 417-440
Open Access | Times Cited: 103
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: 82
HiVeGPT: Human-Machine-Augmented Intelligent Vehicles With Generative Pre-Trained Transformer
Junping Zhang, Jian Pu, Jianru Xue, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 8, Iss. 3, pp. 2027-2033
Closed Access | Times Cited: 54
Conditional Predictive Behavior Planning With Inverse Reinforcement Learning for Human-Like Autonomous Driving
Zhiyu Huang, Haochen Liu, Jingda Wu, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 7, pp. 7244-7258
Open Access | Times Cited: 40
Transferring policy of deep reinforcement learning from simulation to reality for robotics
Hao Ju, Rongshun Juan, Randy Gómez, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 12, pp. 1077-1087
Closed Access | Times Cited: 47
Society-Centered and DAO-Powered Sustainability in Transportation 5.0: An Intelligent Vehicles Perspective
Yuanyuan Chen, Hui Zhang, Fei‐Yue Wang
IEEE Transactions on Intelligent Vehicles (2023) Vol. 8, Iss. 4, pp. 2635-2638
Closed Access | Times Cited: 37
Safe Reinforcement Learning for Model-Reference Trajectory Tracking of Uncertain Autonomous Vehicles With Model-Based Acceleration
Yifan Hu, Junjie Fu, Guanghui Wen
IEEE Transactions on Intelligent Vehicles (2023) Vol. 8, Iss. 3, pp. 2332-2344
Closed Access | Times Cited: 33
Human-Guided Reinforcement Learning With Sim-to-Real Transfer for Autonomous Navigation
Jingda Wu, Yanxin Zhou, Haohan Yang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 12, pp. 14745-14759
Closed Access | Times Cited: 25
Augmenting Reinforcement Learning With Transformer-Based Scene Representation Learning for Decision-Making of Autonomous Driving
Haochen Liu, Zhiyu Huang, Xiaoyu Mo, et al.
IEEE Transactions on Intelligent Vehicles (2024) Vol. 9, Iss. 3, pp. 4405-4421
Open Access | Times Cited: 10
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: 8
Evolutionary Decision-Making and Planning for Autonomous Driving: A Hybrid Augmented Intelligence Framework
Yuan Kang, Yanjun Huang, Shuo Yang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 7339-7351
Closed Access | Times Cited: 8
Transformer-Based Traffic-Aware Predictive Energy Management of a Fuel Cell Electric Vehicle
Jingda Wu, Zhiyu Huang, Chen Lv
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 4, pp. 4659-4670
Closed Access | Times Cited: 8
Deep Reinforcement Learning-Based Energy-Efficient Decision-Making for Autonomous Electric Vehicle in Dynamic Traffic Environments
Jingda Wu, Ziyou Song, Chen Lv
IEEE Transactions on Transportation Electrification (2023) Vol. 10, Iss. 1, pp. 875-887
Closed Access | Times Cited: 19
Path Planning and Tracking Control for Parking via Soft Actor-Critic Under Non-Ideal Scenarios
Xiaolin Tang, Yuyou Yang, Teng Liu, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 11, Iss. 1, pp. 181-195
Closed Access | Times Cited: 17
Autonomous driving policy learning from demonstration using regression loss function
Yukun Xiao, Yisheng An, Ting Li, et al.
Knowledge-Based Systems (2024) Vol. 295, pp. 111766-111766
Closed Access | Times Cited: 7
Confidence-aware reinforcement learning for energy management of electrified vehicles
Jingda Wu, Chao Huang, Hongwen He, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 191, pp. 114154-114154
Closed Access | Times Cited: 13
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
Ensembled Traffic-Aware Transformer-Based Predictive Energy Management for Electrified Vehicles
Jingda Wu, Zhongbao Wei, Hongwen He, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 12333-12346
Closed Access | Times Cited: 4
Knowledge Distillation-Enhanced Behavior Transformer for Decision-Making of Autonomous Driving
Rui Zhao, Yuze Fan, Yun Li, et al.
Sensors (2025) Vol. 25, Iss. 1, pp. 191-191
Open Access
Model-based policy optimization algorithms for feedback control of complex dynamic systems
Lucky E. Yerimah, Christian Jørgensen, B. Wayne Bequette
Computers & Chemical Engineering (2025), pp. 109032-109032
Closed Access
Multi-Objective Autonomous Eco-Driving Strategy: A Pathway to Future Green Mobility
Tong He, Liang Chu, Zheng Chen, et al.
Green Energy and Intelligent Transportation (2025), pp. 100279-100279
Open Access
Optimizing the hyper-parameters of deep reinforcement learning for building control
Shuhao Li, Shu Su, Xu Lin
Building Simulation (2025)
Closed Access
Research Progress and Prospect of High-Speed Vehicle Control Technology Based on Reinforcement Learning
Kunfeng Lu, Weili Wang, Xiaodong Liu, et al.
(2025)
Closed Access
Learning Interaction-Aware Motion Prediction Model for Decision-Making in Autonomous Driving
Zhiyu Huang, Haochen Liu, Jingda Wu, et al.
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2023)
Open Access | Times Cited: 12
ReCoAt: A Deep Learning-based Framework for Multi-Modal Motion Prediction in Autonomous Driving Application
Zhiyu Huang, Xiaoyu Mo, Chen Lv
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2022), pp. 988-993
Open Access | Times Cited: 17
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