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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:

Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep-Reinforcement-Learning Approach
Cristian C. Beltran-Hernandez, Damien Petit, Ixchel G. Ramirez-Alpizar, et al.
Applied Sciences (2020) Vol. 10, Iss. 19, pp. 6923-6923
Open Access | Times Cited: 134

Showing 1-25 of 134 citing articles:

Deep reinforcement learning in smart manufacturing: A review and prospects
Chengxi Li, Pai Zheng, Yue Yin, et al.
CIRP journal of manufacturing science and technology (2022) Vol. 40, pp. 75-101
Closed Access | Times Cited: 151
Deep reinforcement learning in production systems: a systematic literature review
Marcel Panzer, Benedict Bender
International Journal of Production Research (2021) Vol. 60, Iss. 13, pp. 4316-4341
Open Access | Times Cited: 148
Proactive human–robot collaboration: Mutual-cognitive, predictable, and self-organising perspectives
Shufei Li, Pai Zheng, Sichao Liu, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 81, pp. 102510-102510
Open Access | Times Cited: 136
Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review
Mokhaled N. A. Al-Hamadani, Mohammed A. Fadhel, Laith Alzubaidi, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2461-2461
Open Access | Times Cited: 17
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: 65
A review of robotic assembly strategies for the full operation procedure: planning, execution and evaluation
Yuze Jiang, Zhouzhou Huang, Bin Yang, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 78, pp. 102366-102366
Closed Access | Times Cited: 49
A Path to Industry 5.0 Digital Twins for Human–Robot Collaboration by Bridging NEP+ and ROS
Enrique Coronado, Toshio Ueshiba, Ixchel G. Ramirez-Alpizar
Robotics (2024) Vol. 13, Iss. 2, pp. 28-28
Open Access | Times Cited: 10
A Parametric Study of a Deep Reinforcement Learning Control System Applied to the Swing-Up Problem of the Cart-Pole
Camilo Andrés Manrique-Escobar, Carmine Maria Pappalardo, Domenico Guida
Applied Sciences (2020) Vol. 10, Iss. 24, pp. 9013-9013
Open Access | Times Cited: 50
A Review of Deep Reinforcement Learning Approaches for Smart Manufacturing in Industry 4.0 and 5.0 Framework
Alejandro J. del Real, Doru Stefan Andreiana, Álvaro Ojeda Roldán, et al.
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 12377-12377
Open Access | Times Cited: 36
Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions
André Yuji Yasutomi, Hideyuki Ichiwara, Hiroshi Ito, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 3, pp. 1834-1841
Open Access | Times Cited: 19
Vision-driven Compliant Manipulation for Reliable; High-Precision Assembly Tasks
Andrew S. Morgan, Bowen Wen, Junchi Liang, et al.
(2021)
Open Access | Times Cited: 36
Reinforcement Learning of Impedance Policies for Peg-in-Hole Tasks: Role of Asymmetric Matrices
Shir Kozlovsky, Elad Newman, Miriam Zacksenhouse
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 4, pp. 10898-10905
Open Access | Times Cited: 23
Automation of SME production with a Cobot system powered by learning-based vision
Xingyu Yang, Zhengxue Zhou, Jonas H. Sørensen, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 83, pp. 102564-102564
Open Access | Times Cited: 13
Robot autonomous grasping and assembly skill learning based on deep reinforcement learning
Chengjun Chen, Hao Zhang, Yong Pan, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 130, Iss. 11-12, pp. 5233-5249
Closed Access | Times Cited: 4
Learning from demonstration for autonomous generation of robotic trajectory: Status quo and forward-looking overview
Weidong Li, Yuqi Wang, Yuchen Liang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102625-102625
Closed Access | Times Cited: 4
Reinforcement Learning for Autonomous Process Control in Industry 4.0: Advantages and Challenges
Nuria Nievas, Adela Pagès‐Bernaus, Francesc Bonada, et al.
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 4
Learning-based robot assembly method for peg insertion tasks on inclined hole using time-series force information
Zhifei Shen, Zhiyong Jiang, Jingwang Zhang, et al.
Biomimetic Intelligence and Robotics (2025), pp. 100209-100209
Open Access
Compliant assembly of complex aviation plugs combining multi-agent search and variable parameters
Zhenghai Liu, Hui Tang, Dong Liu, et al.
Industrial Robot the international journal of robotics research and application (2025)
Closed Access
Research on Robotic Peg-in-Hole Assembly Method Based on Variable Admittance
Shenglun Zhang, Youchen Wang, Shuo Liang, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2143-2143
Open Access
A Symmetric Stiffness Matrix Design for Robotic On-orbit Refueling Operations Control
Rui Zhang, Qiang Zhang, Xiaodong Zhou
Lecture notes in electrical engineering (2025), pp. 356-365
Closed Access
Physics-data hybrid dynamic model of a multi-axis manipulator for sensorless dexterous manipulation and high-performance motion planning
Wu-Te Yang, Jyun-Ming Liao, Pei‐Chun Lin
International Journal of Advanced Robotic Systems (2025) Vol. 22, Iss. 2
Open Access
Learning Variable Impedance Control for Aerial Sliding on Uneven Heterogeneous Surfaces by Proprioceptive and Tactile Sensing
Weixuan Zhang, Lionel Ott, Marco Tognon, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 4, pp. 11275-11282
Open Access | Times Cited: 19
Multimodality Driven Impedance-Based Sim2Real Transfer Learning for Robotic Multiple Peg-in-Hole Assembly
Wenkai Chen, Chao Zeng, Hongzhuo Liang, et al.
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 5, pp. 2784-2797
Closed Access | Times Cited: 12
IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality
Bingjie Tang, Michael Lin, Iretiayo Akinola, et al.
(2023)
Open Access | Times Cited: 10
Hierarchical framework for interpretable and specialized deep reinforcement learning-based predictive maintenance
Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher
Data & Knowledge Engineering (2023) Vol. 149, pp. 102240-102240
Closed Access | Times Cited: 9
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