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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:

Modeling of Deformable Objects for Robotic Manipulation: A Tutorial and Review
Verónica E. Arriola-Ríos, Püren Güler, Fanny Ficuciello, et al.
Frontiers in Robotics and AI (2020) Vol. 7
Open Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

Challenges and Outlook in Robotic Manipulation of Deformable Objects
Jihong Zhu, Andrea Cherubini, Claire Dune, et al.
IEEE Robotics & Automation Magazine (2022) Vol. 29, Iss. 3, pp. 67-77
Open Access | Times Cited: 129
Learning garment manipulation policies toward robot-assisted dressing
Fan Zhang, Yiannis Demiris
Science Robotics (2022) Vol. 7, Iss. 65
Closed Access | Times Cited: 37
Global Model Learning for Large Deformation Control of Elastic Deformable Linear Objects: An Efficient and Adaptive Approach
Mingrui Yu, Kangchen Lv, Hanzhong Zhong, et al.
IEEE Transactions on Robotics (2022) Vol. 39, Iss. 1, pp. 417-436
Open Access | Times Cited: 37
A systematic review on cooperative dual-arm manipulators: modeling, planning, control, and vision strategies
Mohamed Abbas, Jyotindra Narayan, Santosha K. Dwivedy
International Journal of Intelligent Robotics and Applications (2023) Vol. 7, Iss. 4, pp. 683-707
Closed Access | Times Cited: 17
Benchmarking the Sim-to-Real Gap in Cloth Manipulation
David Blanco–Mulero, Oriol Barbany, Gökhan Alcan, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 3, pp. 2981-2988
Open Access | Times Cited: 6
A curved-beam based quasi-constant force mechanism supporting large range and force-sensitive robotic manipulation
Qingyi Zhang, Peng Yan, Haipeng Wang
Mechanism and Machine Theory (2022) Vol. 172, pp. 104799-104799
Closed Access | Times Cited: 25
DiffCloud: Real-to-Sim from Point Clouds with Differentiable Simulation and Rendering of Deformable Objects
Priya Sundaresan, Rika Antonova, Jeannette Bohg
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022), pp. 10828-10835
Open Access | Times Cited: 21
Deformable One-Dimensional Object Detection for Routing and Manipulation
Azarakhsh Keipour, Maryam Bandari, Stefan Schaal
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 4329-4336
Open Access | Times Cited: 19
A robotic method for installing batt thermal insulation into prefabricated light-frame wood wall panel
X. Han, Cheng-Hsuan Yang, Yuxiang Chen
Construction Robotics (2025) Vol. 9, Iss. 1
Closed Access
Tracking control of robotic manipulator end-effector trajectory based on robust sliding mode method
Beibei Su
PLoS ONE (2025) Vol. 20, Iss. 4, pp. e0320118-e0320118
Open Access
ForceMapping: learning visual-force features from vision for soft objects manipulation
Abdullah Mustafa, Ryo Hanai, Ixchel G. Ramirez-Alpizar, et al.
Advanced Robotics (2025), pp. 1-16
Open Access
Entangled chip removal utilizing mass-spring model with mobile manipulator
R. Takahashi, Hirokazu Kimura, Yasuhiro Kakinuma
CIRP Annals (2025)
Open Access
Dynamic paper bending manipulation using a high-speed multi-fingered robot hand system
Hideto OKURA, Shunsuke Komizunai, Taku Senoo, et al.
International Journal of Advanced Robotic Systems (2025) Vol. 22, Iss. 2
Open Access
VIRDO: Visio-tactile Implicit Representations of Deformable Objects
Youngsun Wi, Pete Florence, Andy Zeng, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 3583-3590
Open Access | Times Cited: 18
DefGraspSim: Physics-Based Simulation of Grasp Outcomes for 3D Deformable Objects
Isabella Huang, Yashraj Narang, Clemens Eppner, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 3, pp. 6274-6281
Open Access | Times Cited: 16
In silico simulation: a key enabling technology for next-generation intelligent surgical systems
Benjamin D. Killeen, Sue Min Cho, Mehran Armand, et al.
Progress in Biomedical Engineering (2023) Vol. 5, Iss. 3, pp. 032001-032001
Open Access | Times Cited: 9
Model-Free 3-D Shape Control of Deformable Objects Using Novel Features Based on Modal Analysis
Bohan Yang, Bo Lu, Wei Chen, et al.
IEEE Transactions on Robotics (2023) Vol. 39, Iss. 4, pp. 3134-3153
Open Access | Times Cited: 8
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation
Rika Antonova, Jingyun Yang, Priya Sundaresan, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 3, pp. 5819-5826
Open Access | Times Cited: 11
Deep Functional Predictive Control (deep-FPC): Robot Pushing 3-D Cluster Using Tactile Prediction
Kiyanoush Nazari, G. Gandolfi, Zeynab Talebpour, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023)
Closed Access | Times Cited: 6
Robotic co-manipulation of deformable linear objects for large deformation tasks
Karam Almaghout, Andrea Cherubini, Alexandr Klimchik
Robotics and Autonomous Systems (2024) Vol. 175, pp. 104652-104652
Closed Access | Times Cited: 2
Learning-Based MPC With Safety Filter for Constrained Deformable Linear Object Manipulation
Yunxi Tang, Xiangyu Chu, J. Huang, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 3, pp. 2877-2884
Closed Access | Times Cited: 2
Standardization of Cloth Objects and its Relevance in Robotic Manipulation
Irene Garcia-Camacho, Alberta Longhini, Michael C. Welle, et al.
(2024), pp. 8298-8304
Open Access | Times Cited: 2
Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective
Xintong Yang, Ze Ji, Jing Wu, et al.
IEEE Transactions on Cognitive and Developmental Systems (2023) Vol. 15, Iss. 3, pp. 1139-1149
Open Access | Times Cited: 6
Self‐Adaptive Perception of Object's Deformability with Multiple Deformation Attributes Utilizing Biomimetic Mechanoreceptors
Waner Lin, Ziya Wang, Yingtian Xu, et al.
Advanced Materials (2023) Vol. 36, Iss. 9
Closed Access | Times Cited: 6
DefGraspSim: Simulation-based grasping of 3D deformable objects
Isabella Huang, Yashraj Narang, Clemens Eppner, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 13
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