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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:

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Yuke Zhu, Josiah Wong, Ajay Mandlekar, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 157

Showing 1-25 of 157 citing articles:

A Survey of Zero-shot Generalisation in Deep Reinforcement Learning
Robert Kirk, Amy Zhang, Edward Grefenstette, et al.
Journal of Artificial Intelligence Research (2023) Vol. 76, pp. 201-264
Open Access | Times Cited: 72
Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments
Mayank Mittal, Calvin Yu, Qinxi Yu, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 6, pp. 3740-3747
Open Access | Times Cited: 43
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
iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes
Bokui Shen, Fei Xia, Chengshu Li, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021)
Open Access | Times Cited: 98
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks
Chengshu Li, Fei Xia, Roberto Martín-Martín, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 58
A Survey of Generalisation in Deep Reinforcement Learning
Robert Kirk, Amy Zhang, Edward Grefenstette, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 58
Ditto: Building Digital Twins of Articulated Objects from Interaction
Zhenyu Jiang, Cheng-Chun Hsu, Yuke Zhu
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 5606-5616
Open Access | Times Cited: 43
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks
Soroush Nasiriany, Huihan Liu, Yuke Zhu
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 7477-7484
Open Access | Times Cited: 41
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
Ajay Mandlekar, Danfei Xu, Josiah Wong, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 52
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
Youngwoon Lee, Edward S. Hu, Joseph J. Lim
(2021), pp. 6343-6349
Open Access | Times Cited: 45
SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning
Jiaqi Xu, Bin Li, Bo Lu, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021)
Open Access | Times Cited: 44
Residual Learning From Demonstration: Adapting DMPs for Contact-Rich Manipulation
Todor Davchev, Kevin Sebastian Luck, Michael Burke, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 4488-4495
Open Access | Times Cited: 28
Close the Optical Sensing Domain Gap by Physics-Grounded Active Stereo Sensor Simulation
Xiaoshuai Zhang, Rui Chen, Ang Li, et al.
IEEE Transactions on Robotics (2023) Vol. 39, Iss. 3, pp. 2429-2447
Open Access | Times Cited: 16
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
iGibson 1.0: a Simulation Environment for Interactive Tasks in Large Realistic Scenes
Bokui Shen, Fei Xia, Chengshu Li, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 45
Multimodality Driven Impedance-Based Sim2Real Transfer Learning for Robotic Multiple Peg-in-Hole Assembly
Wenkai Chen, Chao Zeng, Hongzhuo Liang, et al.
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 5, pp. 2784-2797
Closed Access | Times Cited: 13
RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance
Víctor Mayoral-Vilches, Jason Jabbour, Yu-Shun Hsiao, et al.
(2024), pp. 8288-8297
Open Access | Times Cited: 5
Constraining an Unconstrained Multi-agent Policy with offline data
Cong Guan, Tao Jiang, Yi-Chen Li, et al.
Neural Networks (2025) Vol. 186, pp. 107253-107253
Closed Access
Morphology generalizable reinforcement learning via multi-level graph features
Yansong Pan, Rui Zhang, Jia‐Ming Guo, et al.
Neurocomputing (2025), pp. 129644-129644
Closed Access
Learning Multi-Arm Manipulation Through Collaborative Teleoperation
Albert Tung, Josiah Wong, Ajay Mandlekar, et al.
(2021), pp. 9212-9219
Open Access | Times Cited: 28
Conservative Safety Critics for Exploration
Homanga Bharadhwaj, Aviral Kumar, Nicholas Rhinehart, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 31
Bi-Touch: Bimanual Tactile Manipulation With Sim-to-Real Deep Reinforcement Learning
Yijiong Lin, Alex Church, Max Yang, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 9, pp. 5472-5479
Open Access | Times Cited: 10
FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation
Minho Heo, Youngwoon Lee, Doohyun Lee, et al.
(2023)
Open Access | Times Cited: 9
Task-Driven Reinforcement Learning With Action Primitives for Long-Horizon Manipulation Skills
Hao Wang, Hao Zhang, Lin Li, et al.
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 8, pp. 4513-4526
Closed Access | Times Cited: 9
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation
Shuo Cheng, Danfei Xu
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 10, pp. 6451-6458
Open Access | Times Cited: 9
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