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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:

Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
Lukas Brunke, Melissa Greeff, Adam W. Hall, et al.
Annual Review of Control Robotics and Autonomous Systems (2022) Vol. 5, Iss. 1, pp. 411-444
Open Access | Times Cited: 378

Showing 26-50 of 378 citing articles:

Machine teaching in Swarm Metaverse under different levels of autonomy
Aya Hussein, Hung T. Nguyen, Hussein A. Abbass
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2025) Vol. 383, Iss. 2289
Closed Access | Times Cited: 1
Fusion of Machine Learning and MPC under Uncertainty: What Advances Are on the Horizon?
Ali Mesbah, Kim P. Wabersich, Angela P. Schoellig, et al.
2022 American Control Conference (ACC) (2022), pp. 342-357
Closed Access | Times Cited: 31
Fusion of Microgrid Control With Model-Free Reinforcement Learning: Review and Vision
Buxin She, Fangxing Li, Hantao Cui, et al.
IEEE Transactions on Smart Grid (2022) Vol. 14, Iss. 4, pp. 3232-3245
Open Access | Times Cited: 29
A safe reinforcement learning-based charging strategy for electric vehicles in residential microgrid
Shulei Zhang, Runda Jia, Hengxin Pan, et al.
Applied Energy (2023) Vol. 348, pp. 121490-121490
Closed Access | Times Cited: 22
G2Grad-CAMRL: An Object Detection and Interpretation Model Based on Gradient-Weighted Class Activation Mapping and Reinforcement Learning in Remote Sensing Images
Shoulin Yin, Liguo Wang, Muhammad Shafiq, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 3583-3598
Open Access | Times Cited: 21
Adaptive Safe Reinforcement Learning With Full-State Constraints and Constrained Adaptation for Autonomous Vehicles
Yuxiang Zhang, Xiaoling Liang, Dongyu Li, et al.
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 3, pp. 1907-1920
Closed Access | Times Cited: 19
On data-driven modeling and control in modern power grids stability: Survey and perspective
Xun Gong, Xiaozhe Wang, Bo Cao
Applied Energy (2023) Vol. 350, pp. 121740-121740
Open Access | Times Cited: 19
Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions
Thom Badings, Licio Romao, Alessandro Abate, et al.
Journal of Artificial Intelligence Research (2023) Vol. 76, pp. 341-391
Open Access | Times Cited: 18
Adversarial FDI Attack Monitoring: Toward Secure Defense of Industrial Electronics
Renjie Ma, Zhijian Hu, Hongyan Yang, et al.
IEEE Industrial Electronics Magazine (2023) Vol. 18, Iss. 2, pp. 48-57
Closed Access | Times Cited: 18
Guaranteed Cost Attitude Tracking Control for Uncertain Quadrotor Unmanned Aerial Vehicle Under Safety Constraints
Qian Ma, Peng Jin, Frank L. Lewis
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 6, pp. 1447-1457
Closed Access | Times Cited: 7
Optimality principles in spacecraft neural guidance and control
Dario Izzo, Emmanuel Blazquez, Robin Ferede, et al.
Science Robotics (2024) Vol. 9, Iss. 91
Open Access | Times Cited: 7
DM-DQN: Dueling Munchausen deep Q network for robot path planning
Yuwan Gu, Zhitao Zhu, Jidong Lv, et al.
Complex & Intelligent Systems (2022) Vol. 9, Iss. 4, pp. 4287-4300
Open Access | Times Cited: 25
Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation
Elena Arcari, Maria Vittoria Minniti, Anna Scampicchio, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 6, pp. 3222-3229
Open Access | Times Cited: 15
Physics-informed deep reinforcement learning for enhancement on tunnel boring machine's advance speed and stability
Penghui Lin, Maozhi Wu, Zhonghua Xiao, et al.
Automation in Construction (2023) Vol. 158, pp. 105234-105234
Closed Access | Times Cited: 15
Trajectory optimization and tracking control of free-flying space robots for capturing non-cooperative tumbling objects
Ouyang Zhang, Weiran Yao, Desong Du, et al.
Aerospace Science and Technology (2023) Vol. 143, pp. 108718-108718
Closed Access | Times Cited: 13
Model-Based Safe Reinforcement Learning With Time-Varying Constraints: Applications to Intelligent Vehicles
Xinglong Zhang, Yaoqian Peng, Biao Luo, et al.
IEEE Transactions on Industrial Electronics (2024) Vol. 71, Iss. 10, pp. 12744-12753
Open Access | Times Cited: 5
Learn From Safe Experience: Safe Reinforcement Learning for Task Automation of Surgical Robot
Ke Fan, Ziyang Chen, Giancarlo Ferrigno, et al.
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 7, pp. 3374-3383
Closed Access | Times Cited: 5
Safe-Control-Gym: A Unified Benchmark Suite for Safe Learning-Based Control and Reinforcement Learning in Robotics
Zhaocong Yuan, Adam W. Hall, Siqi Zhou, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 4, pp. 11142-11149
Open Access | Times Cited: 20
Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise
Thom Badings, Alessandro Abate, Nils Jansen, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 9, pp. 9669-9678
Open Access | Times Cited: 19
Advances in Artificial Intelligence Methods Applications in Industrial Control Systems: Towards Cognitive Self-Optimizing Manufacturing Systems
Emanuele Carpanzano, Daniel Knüttel
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 10962-10962
Open Access | Times Cited: 19
Research and implementation of variable-domain fuzzy PID intelligent control method based on Q-Learning for self-driving in complex scenarios
Yongqiang Yao, Nan Ma, Cheng Wang, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 3, pp. 6016-6029
Open Access | Times Cited: 12
Discovering explicit Reynolds-averaged turbulence closures for turbulent separated flows through deep learning-based symbolic regression with non-linear corrections
Hongwei Tang, Yan Wang, Tongguang Wang, et al.
Physics of Fluids (2023) Vol. 35, Iss. 2
Open Access | Times Cited: 12
Verifying Learning-Based Robotic Navigation Systems
Guy Amir, Davide Corsi, Raz Yerushalmi, et al.
Lecture notes in computer science (2023), pp. 607-627
Closed Access | Times Cited: 12
Reinforcement Learning: A review
Hanae Moussaoui, Nabil El Akkad, Mohamed Benslimane
International Journal of Computing and Digital Systems (2023) Vol. 13, Iss. 1, pp. 1465-1483
Open Access | Times Cited: 12
Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty
Thom Badings, Licio Romao, Alessandro Abate, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 12, pp. 14701-14710
Open Access | Times Cited: 12

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