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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 26-50 of 73 citing articles:

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
Enhance Sample Efficiency and Robustness of End-to-End Urban Autonomous Driving via Semantic Masked World Model
Zeyu Gao, Yao Mu, Chen Chen, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 10, pp. 13067-13079
Open Access | Times Cited: 3
Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning
Jingda Wu, Wenhui Huang, Niels de Boer, et al.
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2022)
Open Access | Times Cited: 15
Design and Application of Artificial Intelligence Technology-Driven Education and Teaching System in Universities
Fan Zhang
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 14
Anti-Disturbance Self-Supervised Reinforcement Learning for Perturbed Car-Following System
Meng Li, Zhibin Li, Shunchao Wang, et al.
IEEE Transactions on Vehicular Technology (2023) Vol. 72, Iss. 9, pp. 11318-11331
Closed Access | Times Cited: 8
Cooperative Path Following Control in Autonomous Vehicles Graphical Games: A Data-Based Off-Policy Learning Approach
Yong Xu, Zheng‐Guang Wu, Ya‐Jun Pan
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 8, pp. 9364-9374
Closed Access | Times Cited: 2
A Model-Based Reinforcement Learning Method with Conditional Variational Auto-Encoder
Ting Zhu, Ruibin Ren, Yukai Li, et al.
Journal of Data Science and Intelligent Systems (2024)
Open 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
A Combined Reinforcement Learning and Model Predictive Control for Car-Following Maneuver of Autonomous Vehicles
Liwen Wang, Shuo Yang, Yuan Kang, et al.
Chinese Journal of Mechanical Engineering (2023) Vol. 36, Iss. 1
Open Access | Times Cited: 6
Reward adaptive wind power tracking control based on deep deterministic policy gradient
Peng Chen, Dezhi Han
Applied Energy (2023) Vol. 348, pp. 121519-121519
Closed Access | Times Cited: 5
Counterfactual Evolutionary Reasoning for Virtual Driver Reinforcement Learning in Safe Driving
Peijun Ye, Hao Qi, Fenghua Zhu, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 8, Iss. 12, pp. 4696-4705
Closed Access | Times Cited: 5
Model-based safe reinforcement learning for nonlinear systems under uncertainty with constraints tightening approach
Yeonsoo Kim, Tae Hoon Oh
Computers & Chemical Engineering (2024) Vol. 183, pp. 108601-108601
Closed Access | Times Cited: 1
Causal Meta-Reinforcement Learning for Multimodal Remote Sensing Data Classification
Weidong Zhang, Xuesong Wang, Haoyu Wang, et al.
(2024)
Open Access | Times Cited: 1
Causal Meta-Reinforcement Learning for Multimodal Remote Sensing Data Classification
Wei Zhang, Xuesong Wang, Haoyu Wang, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 1055-1055
Open Access | Times Cited: 1
An Intelligent Penetration Testing Method Using Human Feedback
Qianyu Li, Ruipeng Wang, Min Zhang, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 7, pp. 9109-9119
Closed Access | Times Cited: 1
Improving policy training for autonomous driving through randomized ensembled double Q-learning with Transformer encoder feature evaluation
Jie Fan, Xudong Zhang, Yuan Zou, et al.
Applied Soft Computing (2024), pp. 112386-112386
Closed Access | Times Cited: 1
Knowledge guided fuzzy deep reinforcement learning
Peng Qin, Tao Zhao
Expert Systems with Applications (2024), pp. 125823-125823
Closed Access | Times Cited: 1
ADD: An automatic desensitization fisheye dataset for autonomous driving
Zizhang Wu, Xinyuan Chen, Hongyang Wei, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106766-106766
Open Access | Times Cited: 4
Human-guided reinforcement learning: methodology and application to autonomous driving
Jingda Wu
(2023)
Open Access | Times Cited: 4
Uncertainty-aware hierarchical reinforcement learning for long-horizon tasks
Wenning Hu, Hongbin Wang, Ming He, et al.
Applied Intelligence (2023) Vol. 53, Iss. 23, pp. 28555-28569
Closed Access | Times Cited: 4
Online machine learning approach for system marginal price forecasting using multiple economic indicators: A novel model for real-time decision making
Taehyun Kim, Byeongmin Ha, Soonho Hwangbo
Machine Learning with Applications (2023) Vol. 14, pp. 100505-100505
Open Access | Times Cited: 4
Fundamental Diagram of Mixed Traffic Flow Considering Dedicated and Shared Lanes Management Policies for CAVs
Zhihong Yao, Tingting Ren, Yi Wang, et al.
IEEE Transactions on Transportation Electrification (2023) Vol. 10, Iss. 3, pp. 6964-6978
Closed Access | Times Cited: 3
An explainable and robust motion planning and control approach for autonomous vehicle on-ramping merging task using deep reinforcement learning
Bo Hu, Lei Jiang, Sunan Zhang, et al.
IEEE Transactions on Transportation Electrification (2023) Vol. 10, Iss. 3, pp. 6488-6496
Closed Access | Times Cited: 2
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles
Ruoqi Wen, Jiahao Huang, Zhifeng Zhao
2022 IEEE Globecom Workshops (GC Wkshps) (2023), pp. 2025-2030
Open Access | Times Cited: 2
An Improved YOLOv5s Model for Building Detection
Jingyi Zhao, Yifan Li, Jing Cao, et al.
Electronics (2024) Vol. 13, Iss. 11, pp. 2197-2197
Open Access

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