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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:

Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics
Jeffrey Mahler, Jacky Liang, Sherdil Niyaz, et al.
arXiv (Cornell University) (2017)
Open Access | Times Cited: 264

Showing 1-25 of 264 citing articles:

Solving Rubik's Cube with a Robot Hand
OpenAI, Ilge Akkaya, Marcin Andrychowicz, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 655
Deep Reinforcement Learning: An Overview
Yuxi Li
arXiv (Cornell University) (2017)
Open Access | Times Cited: 485
Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review
Guoguang Du, Kai Wang, Shiguo Lian, et al.
Artificial Intelligence Review (2020) Vol. 54, Iss. 3, pp. 1677-1734
Open Access | Times Cited: 351
A Survey on Learning-Based Robotic Grasping
Kilian Kleeberger, Richard Bormann, Werner Kraus, et al.
Current Robotics Reports (2020) Vol. 1, Iss. 4, pp. 239-249
Open Access | Times Cited: 208
Manipulator grabbing position detection with information fusion of color image and depth image using deep learning
Du Jiang, Gongfa Li, Ying Sun, et al.
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 12, Iss. 12, pp. 10809-10822
Closed Access | Times Cited: 126
Learning Dexterous In-Hand Manipulation
OpenAI
arXiv (Cornell University) (2018)
Open Access | Times Cited: 159
Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation
Pete Florence, Lucas Manuelli, Russ Tedrake
arXiv (Cornell University) (2018)
Open Access | Times Cited: 110
Deep Learning in Robotics: Survey on Model Structures and Training Strategies
Artúr I. Károly, Péter Galambos, József Kuti, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2020) Vol. 51, Iss. 1, pp. 266-279
Open Access | Times Cited: 106
TossingBot: Learning to Throw Arbitrary Objects with Residual Physics
Andy Zeng, Shuran Song, Johnny Lee, et al.
(2019)
Open Access | Times Cited: 104
Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach
Douglas Morrison, Peter Corke, Jürgen Leitner
arXiv (Cornell University) (2018)
Closed Access | Times Cited: 100
ContactGrasp: Functional Multi-finger Grasp Synthesis from Contact
Samarth Brahmbhatt, Ankur Handa, James Hays, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2019), pp. 2386-2393
Open Access | Times Cited: 96
A Survey of Knowledge Representation in Service Robotics
David Paulius, Yu Sun
Robotics and Autonomous Systems (2019) Vol. 118, pp. 13-30
Open Access | Times Cited: 91
Review of Deep Reinforcement Learning-Based Object Grasping: Techniques, Open Challenges, and Recommendations
Marwan Qaid Mohammed, Lee Chung Kwek, Shing Chyi Chua
IEEE Access (2020) Vol. 8, pp. 178450-178481
Open Access | Times Cited: 81
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
Learning to Singulate Objects Using a Push Proposal Network
Andreas Eitel, Nico Hauff, Wolfram Burgard
Springer proceedings in advanced robotics (2019), pp. 405-419
Closed Access | Times Cited: 72
A Fog Robotics Approach to Deep Robot Learning: Application to Object Recognition and Grasp Planning in Surface Decluttering
Ajay Kumar Tanwani, Nitesh Mor, John Kubiatowicz, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019), pp. 4559-4566
Open Access | Times Cited: 65
Planning Multi-fingered Grasps as Probabilistic Inference in a Learned Deep Network
Qingkai Lu, Kautilya Chenna, Balakumar Sundaralingam, et al.
Springer proceedings in advanced robotics (2019), pp. 455-472
Open Access | Times Cited: 65
Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter
Michael Danielczuk, Andrey Kurenkov, Ashwin Balakrishna, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019)
Open Access | Times Cited: 61
PyRobot: An Open-source Robotics Framework for Research and Benchmarking.
Adithyavairavan Murali, Tao Chen, Kalyan Vasudev Alwala, et al.
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 57
Real-time deep learning approach to visual servo control and grasp detection for autonomous robotic manipulation
Eduardo G. Ribeiro, Raul de Queiroz Mendes, Valdir Grassi
Robotics and Autonomous Systems (2021) Vol. 139, pp. 103757-103757
Open Access | Times Cited: 54
Deep learning-based method for vision-guided robotic grasping of unknown objects
Luca Bergamini, Mario Sposato, Marcello Pellicciari, et al.
Advanced Engineering Informatics (2020) Vol. 44, pp. 101052-101052
Open Access | Times Cited: 53
Dex-NeRF: Using a Neural Radiance Field to Grasp Transparent Objects
Jeffrey Ichnowski, Yahav Avigal, Justin Kerr, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 53
DIPN: Deep Interaction Prediction Network with Application to Clutter Removal
Baichuan Huang, Shuai D. Han, Abdeslam Boularias, et al.
(2021), pp. 4694-4701
Open Access | Times Cited: 49
Simultaneous Semantic and Collision Learning for 6-DoF Grasp Pose Estimation
Yiming Li, Tao Kong, Ruihang Chu, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021)
Open Access | Times Cited: 40
Dex-Net 3.0: Computing Robust Robot Suction Grasp Targets in Point Clouds using a New Analytic Model and Deep Learning
Jeffrey Mahler, Matthew Matl, Xinyu Liu, et al.
arXiv (Cornell University) (2017)
Closed Access | Times Cited: 55
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