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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:

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

Showing 13 citing articles:

Foundation models in robotics: Applications, challenges, and the future
Roya Firoozi, Johnathan Tucker, Stephen Tian, et al.
The International Journal of Robotics Research (2024)
Closed Access | Times Cited: 23
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
Critical review on the relationship between design variables and performance of dexterous hands: a quantitative analysis
Lei Jiang, C. D. Fu, Yanhong Liang, et al.
Frontiers in Neurorobotics (2025) Vol. 18
Open Access
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
A Comprehensive Review of Humanoid Robots
Qincheng Sheng, Zhongxiang Zhou, Jinhao Li, et al.
(2025)
Open Access
Curriculum is more influential than haptic feedback when learning object manipulation
Pegah Ojaghi, Romina Mir, Ali Marjaninejad, et al.
Science Advances (2025) Vol. 11, Iss. 14
Closed Access
Dexterous hand towards intelligent manufacturing: A review of technologies, trends, and potential applications
Jiexin Zhang, Huan Zhao, Kuangda Chen, et al.
Robotics and Computer-Integrated Manufacturing (2025) Vol. 95, pp. 103021-103021
Closed Access
Vision-based tactile sensing: From performance parameters to device design
Yi‐Hang Xin, Kai‐Ming Hu, Rui-Jia Xiang, et al.
Applied Physics Reviews (2025) Vol. 12, Iss. 2
Closed Access
Grasp Anything: Combining Teacher-Augmented Policy Gradient Learning with Instance Segmentation to Grasp Arbitrary Objects
Malte Mosbach, Sven Behnke
(2024), pp. 7515-7521
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
Survey of learning-based approaches for robotic in-hand manipulation
Abraham Itzhak Weinberg, Alon Shirizly, Osher Azulay, et al.
Frontiers in Robotics and AI (2024) Vol. 11
Open Access | Times Cited: 2
Learning Force Control for Legged Manipulation
Tifanny Portela, Gabriel B. Margolis, Yandong Ji, et al.
(2024), pp. 15366-15372
Open Access | Times Cited: 1
Acti-V-Link: An Active Surface, Visual Feedback Based, Mechanically Underactuated Gripper for In-Hand Manipulation
Karthik Swaminathan, Mohammed Saad Hashmi, Alqama Shaikh, et al.
(2024), pp. 14-18
Closed Access
Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer
Xueyi Liu, Kangbo Lyu, Jieqiong Zhang, et al.
Lecture notes in computer science (2024), pp. 164-182
Closed Access
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