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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:

Learning to Manipulate Deformable Objects without Demonstrations
Yilin Wu, Wilson Yan, Thanard Kurutach, et al.
(2020)
Open Access | Times Cited: 150

Showing 1-25 of 150 citing articles:

Deep Learning applications for COVID-19
Connor Shorten, Taghi M. Khoshgoftaar, Borko Furht
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 303
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: 126
Artificial Intelligence in manufacturing: State of the art, perspectives, and future directions
Robert X. Gao, Jörg Krüger, Marion Merklein, et al.
CIRP Annals (2024) Vol. 73, Iss. 2, pp. 723-749
Open Access | Times Cited: 19
Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks
Daniel Seita, Pete Florence, Jonathan Tompson, et al.
(2021)
Open Access | Times Cited: 97
Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor
Daniel Seita, Aditya Ganapathi, Ryan Hoque, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2020), pp. 9651-9658
Open Access | Times Cited: 85
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation
Wilson Yan, Ashwin Vangipuram, Pieter Abbeel, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 76
CLIPort: What and Where Pathways for Robotic Manipulation
Mohit Shridhar, Lucas Manuelli, Dieter Fox
arXiv (Cornell University) (2021)
Open Access | Times Cited: 76
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
Data-driven robotic visual grasping detection for unknown objects: A problem-oriented review
Hongkun Tian, Kechen Song, Song Li, et al.
Expert Systems with Applications (2022) Vol. 211, pp. 118624-118624
Closed Access | Times Cited: 40
VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation
Ryan Hoque, Daniel Seita, Ashwin Balakrishna, et al.
(2020)
Open Access | Times Cited: 64
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
Xingyu Lin, Yufei Wang, Jake Olkin, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 56
Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics
Aditya Ganapathi, Priya Sundaresan, Brijen Thananjeyan, et al.
(2021), pp. 11515-11522
Open Access | Times Cited: 43
Learning garment manipulation policies toward robot-assisted dressing
Fan Zhang, Yiannis Demiris
Science Robotics (2022) Vol. 7, Iss. 65
Closed Access | Times Cited: 37
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: 5
Learning where to trust unreliable models in an unstructured world for deformable object manipulation
Peter Mitrano, D. MConachie, Dmitry Berenson
Science Robotics (2021) Vol. 6, Iss. 54
Closed Access | Times Cited: 36
FlingBot: The Unreasonable Effectiveness of Dynamic Manipulation for Cloth Unfolding
Huy Ha, Shuran Song
arXiv (Cornell University) (2021)
Open Access | Times Cited: 34
DextAIRity: Deformable Manipulation Can be a Breeze
Zhenjia Xu, Cheng Chi, Benjamin Burchfiel, et al.
(2022)
Open Access | Times Cited: 27
Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects
Xiao Ma, David Hsu, Wee Sun Lee
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 8266-8273
Open Access | Times Cited: 26
Real2Sim2Real: Self-Supervised Learning of Physical Single-Step Dynamic Actions for Planar Robot Casting
Vincent Lim, Huang Huang, Lawrence Yunliang Chen, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 8282-8289
Closed Access | Times Cited: 24
Learning Visual Feedback Control for Dynamic Cloth Folding
Julius Hietala, David Blanco–Mulero, Gökhan Alcan, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022), pp. 1455-1462
Open Access | Times Cited: 23
RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks
Haochen Shi, Huazhe Xu, Zhiao Huang, et al.
(2022)
Open Access | Times Cited: 22
Mesh-based Dynamics with Occlusion Reasoning for Cloth Manipulation
Zixuan Huang, Xingyu Lin, David Held
(2022)
Open Access | Times Cited: 22
Automated assembly of non-rigid objects
Sotiris Makris, Franz Dietrich, Karel Kellens, et al.
CIRP Annals (2023) Vol. 72, Iss. 2, pp. 513-539
Open Access | Times Cited: 14
AutoBag: Learning to Open Plastic Bags and Insert Objects
Lawrence Yunliang Chen, Baiyu Shi, Daniel Seita, et al.
(2023), pp. 3918-3925
Open Access | Times Cited: 14
Robotic Manipulation of Deformable Rope-Like Objects Using Differentiable Compliant Position-Based Dynamics
Fei Liu, Entong Su, Jingpei Lu, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 7, pp. 3964-3971
Closed Access | Times Cited: 13
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