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:

Force, Impedance, and Trajectory Learning for Contact Tooling and Haptic Identification
Yanan Li, Gowrishankar Ganesh, Nathanaël Jarrassé, et al.
IEEE Transactions on Robotics (2018) Vol. 34, Iss. 5, pp. 1170-1182
Open Access | Times Cited: 134

Showing 1-25 of 134 citing articles:

Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks
Roberto Martín-Martín, Michelle A. Lee, Rachel Gardner, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2019), pp. 1010-1017
Open Access | Times Cited: 151

Simultaneously Encoding Movement and sEMG-Based Stiffness for Robotic Skill Learning
Chao Zeng, Chenguang Yang, Hong Cheng, et al.
IEEE Transactions on Industrial Informatics (2020) Vol. 17, Iss. 2, pp. 1244-1252
Open Access | Times Cited: 75

Learning Variable Impedance Control via Inverse Reinforcement Learning for Force-Related Tasks
Xiang Zhang, Liting Sun, Zhian Kuang, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 2, pp. 2225-2232
Open Access | Times Cited: 69

Impedance Variation and Learning Strategies in Human–Robot Interaction
Mojtaba Sharifi, Amir Zakerimanesh, Javad K. Mehr, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 7, pp. 6462-6475
Closed Access | Times Cited: 56

Adaptive safety-critical control using a variable task energy tank for collaborative robot tasks under dynamic environments
Zhitao Gao, Chen Chen, Fangyu Peng, et al.
Robotics and Computer-Integrated Manufacturing (2025) Vol. 94, pp. 102964-102964
Closed Access | Times Cited: 1

A novel dynamic observer-based contact force control strategy in robotic grinding to improve blade profile accuracy
Yilin Mu, Lai Zou, Ziling Wang, et al.
Robotics and Computer-Integrated Manufacturing (2025) Vol. 94, pp. 102966-102966
Closed Access | Times Cited: 1

Bio-inspired robotic impedance adaptation for human-robot collaborative tasks
Chao Zeng, Chenguang Yang, Zhaopeng Chen
Science China Information Sciences (2020) Vol. 63, Iss. 7
Closed Access | Times Cited: 55

Bilateral Teleoperation With Adaptive Impedance Control for Contact Tasks
Youssef Michel, Rahaf Rahal, Claudio Pacchierotti, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 3, pp. 5429-5436
Open Access | Times Cited: 55

Impedance Learning-Based Adaptive Control for Human–Robot Interaction
Mojtaba Sharifi, Vahid Azimi, Vivian K. Mushahwar, et al.
IEEE Transactions on Control Systems Technology (2021) Vol. 30, Iss. 4, pp. 1345-1358
Closed Access | Times Cited: 48

Spatial Iterative Learning Control for Robotic Path Learning
Lin Yang, Yanan Li, Deqing Huang, et al.
IEEE Transactions on Cybernetics (2022) Vol. 52, Iss. 7, pp. 5789-5798
Open Access | Times Cited: 28

Physically interacting humans regulate muscle coactivation to improve visuo-haptic perception
Hendrik Börner, Gerolamo Carboni, Xiaoxiao Cheng, et al.
Journal of Neurophysiology (2023) Vol. 129, Iss. 2, pp. 494-499
Open Access | Times Cited: 17

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

Multifingered Robot Hand Compliant Manipulation Based on Vision-Based Demonstration and Adaptive Force Control
Chao Zeng, Shuang Li, Zhaopeng Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 9, pp. 5452-5463
Closed Access | Times Cited: 24

Human-Robot Variable Impedance Skills Transfer Learning Based on Dynamic Movement Primitives
Xinbo Yu, Peisen Liu, Wei He, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 3, pp. 6463-6470
Closed Access | Times Cited: 23

A review on interaction control for contact robots through intent detection
Yanan Li, Aran Sena, Ziwei Wang, et al.
Progress in Biomedical Engineering (2022) Vol. 4, Iss. 3, pp. 032004-032004
Open Access | Times Cited: 23

Inverse-Reinforcement-Learning-Based Robotic Ultrasound Active Compliance Control in Uncertain Environments
Guochen Ning, Hanying Liang, Xinran Zhang, et al.
IEEE Transactions on Industrial Electronics (2023) Vol. 71, Iss. 2, pp. 1686-1696
Closed Access | Times Cited: 14

Impedance Learning for Human-Guided Robots in Contact With Unknown Environments
Xueyan Xing, Etienne Burdet, Weiyong Si, et al.
IEEE Transactions on Robotics (2023) Vol. 39, Iss. 5, pp. 3705-3721
Open Access | Times Cited: 14

Safe and compliant control of redundant robots using superimposition of passive task-space controllers
Carlo Tiseo, Wolfgang Merkt, Wouter Wolfslag, et al.
Nonlinear Dynamics (2023) Vol. 112, Iss. 2, pp. 1023-1038
Open Access | Times Cited: 13

Asymmetrical nonlinear impedance control for dual robotic machining of thin-walled workpieces
Xingwei Zhao, Bo Tao, Qian Lu, et al.
Robotics and Computer-Integrated Manufacturing (2019) Vol. 63, pp. 101889-101889
Closed Access | Times Cited: 42

An adaptive framework for robotic polishing based on impedance control
Srinivasan Lakshminarayanan, Sreekanth Kana, Dhanya Menoth Mohan, et al.
The International Journal of Advanced Manufacturing Technology (2020) Vol. 112, Iss. 1-2, pp. 401-417
Closed Access | Times Cited: 37

An Approach for Robotic Leaning Inspired by Biomimetic Adaptive Control
Chao Zeng, Hang Su, Yanan Li, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 3, pp. 1479-1488
Open Access | Times Cited: 29

A Unified Parametric Representation for Robotic Compliant Skills With Adaptation of Impedance and Force
Chao Zeng, Yanan Li, Jing Guo, et al.
IEEE/ASME Transactions on Mechatronics (2021) Vol. 27, Iss. 2, pp. 623-633
Open Access | Times Cited: 28

Adaptive Compliant Skill Learning for Contact-Rich Manipulation With Human in the Loop
Weiyong Si, Yuan Guan, Ning Wang
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 3, pp. 5834-5841
Closed Access | Times Cited: 21

Adaptive Tank-based Control for Aerial Physical Interaction with Uncertain Dynamic Environments Using Energy-Task Estimation
Federico Benzi, Maximilian Brunner, Marco Tognon, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 4, pp. 9129-9136
Closed Access | Times Cited: 19

Model predictive game control for personalized and targeted interactive assistance
Abdelwaheb Hafs, Anaïs Farr, Dorian Verdel, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access

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