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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 Dense Rewards for Contact-Rich Manipulation Tasks
Zheng Wu, Wenzhao Lian, Vaibhav Unhelkar, et al.
(2021), pp. 6214-6221
Open Access | Times Cited: 21

Showing 21 citing articles:

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
The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications
Serena Booth, W. Bradley Knox, Julie Shah, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 5, pp. 5920-5929
Open Access | Times Cited: 20
Inverse-Reinforcement-Learning-Based Robotic Ultrasound Active Compliance Control in Uncertain Environments
Guochen Ning, Hanying Liang, Xinran Zhang, et al.
IEEE Transactions on Industrial Electronics (2023) Vol. 71, Iss. 2, pp. 1686-1696
Closed Access | Times Cited: 14
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
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
IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality
Bingjie Tang, Michael Lin, Iretiayo Akinola, et al.
(2023)
Open Access | Times Cited: 10
Benchmarking Off-The-Shelf Solutions to Robotic Assembly Tasks
Wenzhao Lian, Tim Kelch, Dirk Holz, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021), pp. 1046-1053
Open Access | Times Cited: 16
Inverse Reinforcement Learning Framework for Transferring Task Sequencing Policies from Humans to Robots in Manufacturing Applications
Omey M. Manyar, Zachary McNulty, Stefanos Nikolaidis, et al.
(2023)
Closed Access | Times Cited: 5
On Efficient and Flexible Autonomous Robotic Insertion Assembly in the Presence of Uncertainty
Shichen Cao, Jing Xiao
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 7, pp. 6360-6367
Closed Access | Times Cited: 1
A Practical Roadmap to Learning from Demonstration for Robotic Manipulators in Manufacturing
Alireza Barekatain, Hamed Habibi, Holger Voos
(2024)
Open Access | Times Cited: 1
A General Method for Autonomous Assembly of Arbitrary Parts in the Presence of Uncertainty
Shichen Cao, Jing Xiao
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022), pp. 10259-10266
Closed Access | Times Cited: 4
Towards advanced robotic manipulation
Francisco Roldán Sánchez, Stephen J. Redmond, Kevin McGuinness, et al.
(2022), pp. 302-305
Open Access | Times Cited: 4
Learning and generalising object extraction skill for contact-rich disassembly tasks: an introductory study
A. Serrano-Muñoz, Nestor Arana-Arexolaleiba, Dimitrios Chrysostomou, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 124, Iss. 9, pp. 3171-3183
Open Access | Times Cited: 5
Variable Impedance Control on Contact-Rich Manipulation of a Collaborative Industrial Mobile Manipulator: An Imitation Learning Approach
Zhengxue Zhou, Xingyu Yang, Xuping Zhang
(2024)
Closed Access
A Practical Roadmap to Learning from Demonstration for Robotic Manipulators in Manufacturing
Alireza Barekatain, Hamed Habibi, Holger Voos
Robotics (2024) Vol. 13, Iss. 7, pp. 100-100
Open Access
Robust Walking and Sim-to-Real Optimization for Quadruped Robots via Reinforcement Learning
Chao Ji, Diyuan Liu, Wei Gao, et al.
Journal of Bionic Engineering (2024) Vol. 22, Iss. 1, pp. 107-117
Closed Access
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation
Abhinav Jain, Vaibhav Unhelkar
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 11, pp. 12763-12772
Open Access
Stable Exploration via Imitating Highly Scored Episode-Decayed Exploration Episodes in Procedurally Generated Environments
Mao Xu, Shuzhi Sam Ge, Dongjie Zhao, et al.
IEEE Transactions on Cognitive and Developmental Systems (2023) Vol. 16, Iss. 3, pp. 1121-1133
Closed Access | Times Cited: 1
Generating Manipulation Sequences using Reinforcement Learning and Behavior Trees for Peg-In-Hole Task
Jiahua Xu, Yunhan Lin, Haotian Zhou, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2022), pp. 2715-2720
Closed Access | Times Cited: 2
Excavation of Fragmented Rocks with Multi-modal Model-based Reinforcement Learning
Yifan Zhu, Liyang Wang, Liangjun Zhang
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022), pp. 6523-6530
Closed Access | Times Cited: 1
A Learning-based Motion Control Policy Fusing Multi-Mode Perception for Legged Robot
Chao Ji, Diyuan Liu, Mingxin Zhou, et al.
2022 IEEE International Conference on Real-time Computing and Robotics (RCAR) (2023), pp. 378-383
Closed Access
A Knowledge-Informed Learning Framework for Precise Assembly Task with Uncertainties
Chuang Wang, Juncheng Li, Biao Liu, et al.
(2023)
Closed Access
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