Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 1-25 of 378 citing articles:

Applications of Physics-Informed Neural Networks in Power Systems - A Review
Bin Huang, Jianhui Wang
IEEE Transactions on Power Systems (2022) Vol. 38, Iss. 1, pp. 572-588
Closed Access | Times Cited: 197
Safe Control With Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction Methods for Robotics and Control
Charles Dawson, Sicun Gao, Chuchu Fan
IEEE Transactions on Robotics (2023) Vol. 39, Iss. 3, pp. 1749-1767
Closed Access | Times Cited: 89
A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation
Dong Han, Beni Mulyana, Vladimir Stanković, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3762-3762
Open Access | Times Cited: 85
Autonomous Drone Racing: A Survey
Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, et al.
IEEE Transactions on Robotics (2024) Vol. 40, pp. 3044-3067
Open Access | Times Cited: 26
Machine learning for micro- and nanorobots
Lidong Yang, Jialin Jiang, Fengtong Ji, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 6, pp. 605-618
Closed Access | Times Cited: 18
Grand challenges in industrial and systems engineering
Waldemar Karwowski, Gavriel Salvendy, Laura A. Albert, et al.
International Journal of Production Research (2025), pp. 1-46
Open Access | Times Cited: 2
A review on reinforcement learning for contact-rich robotic manipulation tasks
Íñigo Elguea-Aguinaco, A. Serrano-Muñoz, Dimitrios Chrysostomou, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 81, pp. 102517-102517
Open Access | Times Cited: 67
Data-Driven Control Based on the Behavioral Approach: From Theory to Applications in Power Systems
Ivan Markovsky, Linbin Huang, Florian Dörfler
IEEE Control Systems (2023) Vol. 43, Iss. 5, pp. 28-68
Closed Access | Times Cited: 41
Safe multi-agent reinforcement learning for multi-robot control
Shangding Gu, Jakub Grudzien Kuba, Yuanpei Chen, et al.
Artificial Intelligence (2023) Vol. 319, pp. 103905-103905
Open Access | Times Cited: 38
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: 34
Recurrent Equilibrium Networks: Flexible Dynamic Models With Guaranteed Stability and Robustness
Max Revay, Ruigang Wang, Ian R. Manchester
IEEE Transactions on Automatic Control (2023) Vol. 69, Iss. 5, pp. 2855-2870
Open Access | Times Cited: 30
A Safety-Critical Decision-Making and Control Framework Combining Machine-Learning-Based and Rule-Based Algorithms
Andrei Aksjonov, Ville Kyrki
SAE International journal of vehicle dynamics, stability, and NVH (2023) Vol. 7, Iss. 3
Closed Access | Times Cited: 29
Learning‐based model predictive control for improved mobile robot path following using Gaussian processes and feedback linearization
J. Wang, Michael T. H. Fader, Joshua A. Marshall
Journal of Field Robotics (2023) Vol. 40, Iss. 5, pp. 1014-1033
Open Access | Times Cited: 24
Data-Driven Safety Filters: Hamilton-Jacobi Reachability, Control Barrier Functions, and Predictive Methods for Uncertain Systems
Kim P. Wabersich, Andrew J. Taylor, Jason J. Choi, et al.
IEEE Control Systems (2023) Vol. 43, Iss. 5, pp. 137-177
Closed Access | Times Cited: 24
Model-Free Safe Reinforcement Learning Through Neural Barrier Certificate
Yujie Yang, Yuxuan Jiang, Yichen Liu, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 3, pp. 1295-1302
Closed Access | Times Cited: 23
The Safety Filter: A Unified View of Safety-Critical Control in Autonomous Systems
Kai–Chieh Hsu, Haimin Hu, Jaime F. Fisac
Annual Review of Control Robotics and Autonomous Systems (2024) Vol. 7, Iss. 1, pp. 47-72
Open Access | Times Cited: 13
Actor-Critic Model Predictive Control
Ángel Romero, Yunlong Song, Davide Scaramuzza
(2024), pp. 14777-14784
Closed Access | Times Cited: 13
Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities
Subash Neupane, Shaswata Mitra, Ivan Fernandez, et al.
IEEE Access (2024) Vol. 12, pp. 22072-22097
Open Access | Times Cited: 11
Learning safe control for multi-robot systems: Methods, verification, and open challenges
Kunal Garg, Songyuan Zhang, Oswin So, et al.
Annual Reviews in Control (2024) Vol. 57, pp. 100948-100948
Open Access | Times Cited: 11
Curse of rarity for autonomous vehicles
Henry Liu, Shuo Feng
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 11
Improving safety in mixed traffic: A learning-based model predictive control for autonomous and human-driven vehicle platooning
J. Wang, Zhihao Jiang, Yash Vardhan Pant
Knowledge-Based Systems (2024) Vol. 293, pp. 111673-111673
Open Access | Times Cited: 10
High-efficiency reinforcement learning with hybrid architecture photonic integrated circuit
Xuan-Kun Li, Jian-Xu Ma, Xiangyu Li, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 9
Adaptive Neural Network-Based Model Path-Following Contouring Control for Quadrotor Under Diversely Uncertain Disturbances
Mingxin Wei, Lanxiang Zheng, Hongli Li, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 4, pp. 3751-3758
Closed Access | Times Cited: 9
A modified dueling DQN algorithm for robot path planning incorporating priority experience replay and artificial potential fields
Chang Li, Xiaofeng Yue, Zeyuan Liu, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access | Times Cited: 1
A critical review of safe reinforcement learning strategies in power and energy systems
Van‐Hai Bui, Sina Mohammadi, Srijita Das, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110091-110091
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top