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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:

Reinforcement Learning for Robotic Assembly Using Non-Diagonal Stiffness Matrix
Masahide Oikawa, Tsukasa Kusakabe, Kyo Kutsuzawa, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 2, pp. 2737-2744
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

A survey of robot manipulation in contact
Markku Suomalainen, Yiannis Karayiannidis, Ville Kyrki
Robotics and Autonomous Systems (2022) Vol. 156, pp. 104224-104224
Open Access | Times Cited: 72
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: 52
Model-Based Actor−Critic Learning of Robotic Impedance Control in Complex Interactive Environment
Xingwei Zhao, Shibo Han, Bo Tao, et al.
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 12, pp. 13225-13235
Open Access | Times Cited: 33
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
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
Human-Inspired Robotic Assembly for Multiple Peg-In/out-Hole Tasks in On-Orbit Refueling
Rui Zhang, Qiang Zhang, Xiaodong Zhou
IEEE Robotics and Automation Letters (2025) Vol. 10, Iss. 3, pp. 2670-2677
Closed Access
Research on Assembly Performance Prediction, Optimal Design, and Adjustment Methods for Precision opto-mechanical System
Shuang Ma, Xiaokai Mu, Zhihao Fan, et al.
Precision Engineering (2025)
Closed Access
An LLM-enabled human demonstration-assisted hybrid robot skill synthesis approach for human-robot collaborative assembly
Yue Yin, Ke Wan, Chengxi Li, et al.
CIRP Annals (2025)
Closed Access
Contact Feature Recognition Based on MFCC of Force Signals
Toshiaki Tsuji, Koyo Sato, Sho Sakaino
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 3, pp. 5153-5158
Closed Access | Times Cited: 21
Variable Impedance Skill Learning for Contact-Rich Manipulation
Quantao Yang, Alexander Dürr, Elin Anna Topp, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 3, pp. 8391-8398
Open Access | Times Cited: 13
Vision-force-fused curriculum learning for robotic contact-rich assembly tasks
Piaopiao Jin, Yinjie Lin, Yaoxian Song, et al.
Frontiers in Neurorobotics (2023) Vol. 17
Open Access | Times Cited: 7
Active compliance control of robot peg-in-hole assembly based on combined reinforcement learning
Chengjun Chen, Chenxu Zhang, Yong Pan
Applied Intelligence (2023) Vol. 53, Iss. 24, pp. 30677-30690
Closed Access | Times Cited: 6
Deep reinforcement learning on variable stiffness compliant control for programming-free robotic assembly in smart manufacturing
Zhenrui Ji, Gang Liu, Wenjun Xu, et al.
International Journal of Production Research (2024) Vol. 62, Iss. 19, pp. 7073-7095
Closed Access | Times Cited: 2
Reward shaping in multiagent reinforcement learning for self-organizing systems in assembly tasks
Bingling Huang, Yan Jin
Advanced Engineering Informatics (2022) Vol. 54, pp. 101800-101800
Closed Access | Times Cited: 9
Geometric-Feature Representation Based Pre-Training Method for Reinforcement Learning of Peg-in-Hole Tasks
Yajing Zang, Pengfei Wang, Fusheng Zha, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 6, pp. 3478-3485
Closed Access | Times Cited: 4
Peg-in-Hole Using Transient Information of Force Response
Hikaru Unten, Sho Sakaino, Toshiaki Tsuji
IEEE/ASME Transactions on Mechatronics (2022) Vol. 28, Iss. 3, pp. 1674-1682
Closed Access | Times Cited: 7
Imitation Learning for Variable Speed Contact Motion for Operation up to Control Bandwidth
Sho Sakaino, Kazuki Fujimoto, Yuki Saigusa, et al.
IEEE Open Journal of the Industrial Electronics Society (2022) Vol. 3, pp. 116-127
Open Access | Times Cited: 6
High-Speed Electrical Connector Assembly by Structured Compliance in a Finray-Effect Gripper
Richard Matthias Hartisch, Kevin Haninger
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 2, pp. 810-819
Open Access | Times Cited: 3
Flexible Gear Assembly with Visual Servoing and Force Feedback
Junjie Ming, Daniel Bargmann, Hongpeng Cao, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 8276-8282
Open Access | Times Cited: 3
Robotic Manipulation Planning for Automatic Peeling of Glass Substrate Based on Online Learning Model Predictive Path Integral
Liwei Hou, Hengsheng Wang, Haoran Zou, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 1292-1292
Open Access | Times Cited: 4
Co-Design Secure Control Based on Image Attack Detection and Data Compensation for Networked Visual Control Systems
Dajun Du, Lang Wu, Changda Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-14
Open Access | Times Cited: 4
Motion Generation Based on Physical Property Estimation in Motion Copy System
Tomoya Kitamura, Xiaobai Sun, Yuki Saito, et al.
(2022), pp. 62-67
Closed Access | Times Cited: 3
A simulation approach for determining maximal control cycle time in force-compliant assembly under contact force/torque constraints
X.X Wang, Xiaohan Qie, Feifei Kong, et al.
Journal of Physics Conference Series (2024) Vol. 2787, Iss. 1, pp. 012048-012048
Open Access
Analysis of Grinding Motion using Force/Tactile Sensation
Tomoya Kitamura, Takumi Hachimine, Takamitsu Matsubara, et al.
(2024), pp. 1-6
Closed Access
Data-Driven Dynamic Decision-Making Strategy for Gear-Shaft Robotic Assembly Process
Ruizhang Wang, Wenjun Xu, Jiayi Liu, et al.
Communications in computer and information science (2024), pp. 70-84
Closed Access
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