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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:

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

Showing 1-25 of 52 citing articles:

Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
Cheng Chi, Siyuan Feng, Yilun Du, et al.
(2023)
Open Access | Times Cited: 76
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
Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale
Ram Ramrakhya, Eric Undersander, Dhruv Batra, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 47
Affordances from Human Videos as a Versatile Representation for Robotics
Shikhar Bahl, Russell Mendonca, Lili Chen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 28
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods
Yuji Cao, Huan Zhao, Yuheng Cheng, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024), pp. 1-21
Open Access | Times Cited: 11
Human-in-the-Loop Embodied Intelligence With Interactive Simulation Environment for Surgical Robot Learning
Yonghao Long, Wei Wang, Tao Huang, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 8, pp. 4441-4448
Open Access | Times Cited: 22
Language-Driven Representation Learning for Robotics
Siddharth Karamcheti, Suraj Nair, Annie Chen, et al.
(2023)
Open Access | Times Cited: 19
Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models
Ted Xiao, Harris Chan, Pierre Sermanet, et al.
(2023)
Open Access | Times Cited: 17
Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models
Yi Liu, Gaurav Datta, Ellen Novoseller, et al.
(2023), pp. 2921-2928
Open Access | Times Cited: 11
NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis
Allan Zhou, Moo Jin Kim, Lirui Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 11
Autonomous Assessment of Demonstration Sufficiency via Bayesian Inverse Reinforcement Learning
Tu Trinh, Chen Hao-yu, Daniel S. Brown
(2024), pp. 725-733
Open Access | Times Cited: 4
From screens to scenes: A survey of embodied AI in healthcare
Yihao Liu, Xu Cao, Tingting Chen, et al.
Information Fusion (2025), pp. 103033-103033
Closed Access
Hierarchical Decision Transformer
André Correia, Luı́s A. Alexandre
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 1661-1666
Open Access | Times Cited: 8
Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment
Huihan Liu, Soroush Nasiriany, Lance Zhang, et al.
(2023)
Open Access | Times Cited: 7
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0
A. O'Neill, Abdul Rehman, Abhiram Maddukuri, et al.
(2024), pp. 6892-6903
Closed 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
Play it by Ear: Learning Skills amidst Occlusion through Audio-Visual Imitation Learning
Maximilian Du, Olivia Y Lee, Suraj Nair, et al.
(2022)
Open Access | Times Cited: 9
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection
Shivin Dass, Karl Pertsch, Hejia Zhang, et al.
(2023)
Open Access | Times Cited: 5
Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems
Alexander G. Ororbia, Ankur Mali
(2023), pp. 3015-3021
Closed Access | Times Cited: 4
The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation
Jan Ole von Hartz, Eugenio Chisari, Tim Welschehold, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 11, pp. 6931-6938
Open Access | Times Cited: 4
What matters in reinforcement learning for tractography
Antoine Théberge, Christian Desrosiers, Arnaud Boré, et al.
Medical Image Analysis (2024) Vol. 93, pp. 103085-103085
Open Access | Times Cited: 1
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration
Jinning Li, Xinyi Liu, Banghua Zhu, et al.
(2024), pp. 7447-7454
Open Access | Times Cited: 1
GenH2R: Learning Generalizable Human-to-Robot Handover via Scalable Simulation, Demonstration, and Imitation
Zifan Wang, Junyu Chen, Ziqing Chen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 33, pp. 16362-16372
Closed Access | Times Cited: 1
Offline reward shaping with scaling human preference feedback for deep reinforcement learning
Jinfeng Li, Biao Luo, Xiaodong Xu, et al.
Neural Networks (2024) Vol. 181, pp. 106848-106848
Closed Access | Times Cited: 1
Real World Offline Reinforcement Learning with Realistic Data Source
Gaoyue Zhou, Liyiming Ke, Siddhartha S Srinivasa, et al.
(2023) Vol. 33, pp. 7176-7183
Open Access | Times Cited: 3
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