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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:

DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality
Ankur Handa, Arthur Allshire, Viktor Makoviychuk, et al.
(2023)
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
Bowen Wen, Jonathan Tremblay, Valts Blukis, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 606-617
Open Access | Times Cited: 59
Real-world humanoid locomotion with reinforcement learning
Ilija Radosavovic, Tete Xiao, Bike Zhang, et al.
Science Robotics (2024) Vol. 9, Iss. 89
Open Access | Times Cited: 18
RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking
Homanga Bharadhwaj, Jay Vakil, Mohit Sharma, et al.
(2024), pp. 4788-4795
Open Access | Times Cited: 15
Rotating without Seeing: Towards In-hand Dexterity through Touch
Zhao-Heng Yin, Binghao Huang, Yuzhe Qin, et al.
(2023)
Open Access | Times Cited: 32
Tracking cloth deformation: A novel dataset for closing the sim-to-real gap for robotic cloth manipulation learning
Franco Coltraro, Júlia Borràs, Maria Alberich‐Carramiñana, et al.
The International Journal of Robotics Research (2025)
Closed Access | Times Cited: 1
NeuralFeels with neural fields: Visuotactile perception for in-hand manipulation
Sudharshan Suresh, Haozhi Qi, Tingfan Wu, et al.
Science Robotics (2024) Vol. 9, Iss. 96
Open Access | Times Cited: 7
Dextrous Tactile In-Hand Manipulation Using a Modular Reinforcement Learning Architecture
Johannes Pitz, Lennart Röstel, Leon Sievers, et al.
(2023)
Open Access | Times Cited: 13
Visual dexterity: In-hand reorientation of novel and complex object shapes
Tao Chen, Megha Tippur, Siyang Wu, et al.
Science Robotics (2023) Vol. 8, Iss. 84
Open Access | Times Cited: 13
Robust pushing: Exploiting quasi-static belief dynamics and contact-informed optimization
Julius Jankowski, Lara Brudermüller, Nick Hawes, et al.
The International Journal of Robotics Research (2025)
Open Access
See to Touch: Learning Tactile Dexterity through Visual Incentives
Irmak Guzey, Yinlong Dai, Ben Evans, et al.
(2024), pp. 13825-13832
Open Access | Times Cited: 4
IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality
Bingjie Tang, Michael Lin, Iretiayo Akinola, et al.
(2023)
Open Access | Times Cited: 10
LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning
Kenneth Shaw, Ananye Agarwal, Deepak Pathak
(2023)
Open Access | Times Cited: 8
On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer
Elie Aljalbout, F. Frank, Maximilian Karl, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 6, pp. 5895-5902
Open Access | Times Cited: 2
CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation
Jun Wang, Yuzhe Qin, Kaiming Kuang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 17, pp. 17952-17963
Closed Access | Times Cited: 2
DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training
Aleksei Petrenko, Arthur Allshire, Gavriel State, et al.
(2023)
Open Access | Times Cited: 6
Getting the Ball Rolling: Learning a Dexterous Policy for a Biomimetic Tendon-Driven Hand with Rolling Contact Joints
Yasunori Toshimitsu, Benedek Forrai, Barnabas Gavin Cangan, et al.
(2023), pp. 1-7
Open Access | Times Cited: 6
All the Feels: A Dexterous Hand With Large-Area Tactile Sensing
Raunaq Bhirangi, Abigail DeFranco, Jacob Adkins, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 12, pp. 8311-8318
Open Access | Times Cited: 5
Inter-finger Small Object Manipulation With DenseTact Optical Tactile Sensor
Won Kyung, Bianca Aumann, Camille Chungyoun, et al.
IEEE Robotics and Automation Letters (2023) Vol. 9, Iss. 1, pp. 515-522
Closed Access | Times Cited: 4
Estimator-Coupled Reinforcement Learning for Robust Purely Tactile In-Hand Manipulation
Lennart Röstel, Johannes Pitz, Leon Sievers, et al.
(2023)
Closed Access | Times Cited: 4
MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation
Patrick Lancaster, Nicklas Hansen, Aravind Rajeswaran, et al.
(2024), pp. 7530-7537
Open Access | Times Cited: 1
Rapid Motor Adaptation for Robotic Manipulator Arms
Yichao Liang, Kevin Ellis, João Henriques
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 3, pp. 16404-16413
Closed Access | Times Cited: 1
Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations
Jianren Wang, Sudeep Dasari, Mohan Kumar Srirama, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 3836-3845
Open Access | Times Cited: 3
In-Hand Manipulation With a Simple Belted Parallel-Jaw Gripper
Gregory Xie, Rachel Holladay, Lillian Chin, et al.
IEEE Robotics and Automation Letters (2023) Vol. 9, Iss. 2, pp. 1334-1341
Open Access | Times Cited: 2
A model-free method to learn multiple skills in parallel on modular robots
Fuda van Diggelen, Nicolas Cambier, Eliseo Ferrante, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access
Sensorized Soft Skin for Dexterous Robotic Hands
Jana Egli, Benedek Forrai, Thomas Büchner, et al.
(2024), pp. 18127-18133
Open Access
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