Open Access Helper

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:

Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration
De-An Huang, Suraj Nair, Danfei Xu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
Open Access | Times Cited: 117

Showing 1-25 of 117 citing articles:

Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence
Sebastian Raschka, Joshua Patterson, Corey Nolet
Information (2020) Vol. 11, Iss. 4, pp. 193-193
Open Access | Times Cited: 458
A Behavioral Approach to Visual Navigation with Graph Localization Networks
Kevin Chen, Juan Pablo de Vicente, Gabriel Ocampo Sepúlveda, et al.
(2019)
Open Access | Times Cited: 84
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
Oliver Kroemer, Scott Niekum, George Konidaris
arXiv (Cornell University) (2019)
Open Access | Times Cited: 80
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
Large language models for chemistry robotics
Naruki Yoshikawa, Marta Skreta, Kourosh Darvish, et al.
Autonomous Robots (2023) Vol. 47, Iss. 8, pp. 1057-1086
Open Access | Times Cited: 35
RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot
Haoshu Fang, Hongjie Fang, Zhenyu Tang, et al.
(2024), pp. 653-660
Open Access | Times Cited: 11
Beyond imitation: Zero-shot task transfer on robots by learning concepts as cognitive programs
Miguel Lázaro-Gredilla, Dianhuan Lin, J. Swaroop Guntupalli, et al.
Science Robotics (2019) Vol. 4, Iss. 26
Open Access | Times Cited: 64
Representing Robot Task Plans as Robust Logical-Dynamical Systems
Chris Paxton, Nathan Ratliff, Clemens Eppner, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2019), pp. 5588-5595
Open Access | Times Cited: 56
GTI: Learning to Generalize across Long-Horizon Tasks from Human Demonstrations
Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, et al.
(2020)
Open Access | Times Cited: 50
Efficient and Interpretable Robot Manipulation With Graph Neural Networks
Yixin Lin, Austin S. Wang, Eric Undersander, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 2740-2747
Open Access | Times Cited: 29
Universal Manipulation Policy Network for Articulated Objects
Zhenjia Xu, Zhanpeng He, Shuran Song
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 2447-2454
Open Access | Times Cited: 28
One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks
Tianhe Yu, Pieter Abbeel, Sergey Levine, et al.
arXiv (Cornell University) (2018)
Open Access | Times Cited: 51
VideoGraph: Recognizing Minutes-Long Human Activities in Videos
Noureldien Hussein, Efstratios Gavves, A.W.M. Smeulders
arXiv (Cornell University) (2019)
Open Access | Times Cited: 46
NeRP: Neural Rearrangement Planning for Unknown Objects
Ahmed Jawad Qureshi, Arsalan Mousavian, Chris Paxton, et al.
(2021)
Open Access | Times Cited: 33
You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration
Bowen Wen, Wenzhao Lian, Kostas E. Bekris, et al.
(2022)
Open Access | Times Cited: 26
Generating Executable Action Plans with Environmentally-Aware Language Models
Maitrey Gramopadhye, Daniel Szafir
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 3568-3575
Open Access | Times Cited: 13
Transferable Task Execution from Pixels through Deep Planning Domain Learning
Kei Kase, Chris Paxton, Hammad Mazhar, et al.
(2020)
Open Access | Times Cited: 35
PlaTe: Visually-Grounded Planning With Transformers in Procedural Tasks
Jiankai Sun, De-An Huang, Bo Lu, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 4924-4930
Open Access | Times Cited: 22
Spatial and temporal beliefs for mistake detection in assembly tasks
Guodong Ding, Fadime Şener, Shugao Ma, et al.
Computer Vision and Image Understanding (2025), pp. 104338-104338
Open Access
Human2bot: learning zero-shot reward functions for robotic manipulation from human demonstrations
Yasir Salam, Yinbei Li, Jonas Herzog, et al.
Autonomous Robots (2025) Vol. 49, Iss. 2
Closed Access
OakInk2 : A Dataset of Bimanual Hands-Object Manipulation in Complex Task Completion
Xinyu Zhan, Lixin Yang, Yifei Zhao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 445-456
Closed Access | Times Cited: 3
Scalable Multi-Task Imitation Learning with Autonomous Improvement
Avi Singh, Eric Jang, Alexander Irpan, et al.
(2020), pp. 2167-2173
Open Access | Times Cited: 27
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
Avi Singh, Huihan Liu, Gaoyue Zhou, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 26
Manipulation Planning From Demonstration Via Goal-Conditioned Prior Action Primitive Decomposition and Alignment
Nan Lin, Yuxuan Li, Keke Tang, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 1387-1394
Closed Access | Times Cited: 14
Discovering Motor Programs by Recomposing Demonstrations
Tanmay Shankar, Shubham Tulsiani, Lerrel Pinto, et al.
International Conference on Learning Representations (2020)
Closed Access | Times Cited: 21
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