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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:

A Billion Ways to Grasp: An Evaluation of Grasp Sampling Schemes on a Dense, Physics-Based Grasp Data Set
Clemens Eppner, Arsalan Mousavian, Dieter Fox
Springer proceedings in advanced robotics (2022), pp. 890-905
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Self-supervised 6D Object Pose Estimation for Robot Manipulation
Xinke Deng, Yu Xiang, Arsalan Mousavian, et al.
(2020)
Open Access | Times Cited: 157
DexYCB: A Benchmark for Capturing Hand Grasping of Objects
Yu-Wei Chao, Wei Yang, Xiang Yu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 156
ACRONYM: A Large-Scale Grasp Dataset Based on Simulation
Clemens Eppner, Arsalan Mousavian, Dieter Fox
(2021)
Open Access | Times Cited: 97
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
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
Learning Human-to-Robot Handovers from Point Clouds
Sammy Christen, Wei Yang, Claudia Pérez-D’Arpino, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 20
Close the Optical Sensing Domain Gap by Physics-Grounded Active Stereo Sensor Simulation
Xiaoshuai Zhang, Rui Chen, Ang Li, et al.
IEEE Transactions on Robotics (2023) Vol. 39, Iss. 3, pp. 2429-2447
Open Access | Times Cited: 16
Deep learning can accelerate grasp-optimized motion planning
Jeffrey Ichnowski, Yahav Avigal, Vishal Satish, et al.
Science Robotics (2020) Vol. 5, Iss. 48
Closed Access | Times Cited: 42
Grasp-Anything: Large-scale Grasp Dataset from Foundation Models
An Dinh Vuong, Minh‐Ngoc Vu, Huy Quoc Le, et al.
(2024), pp. 14030-14037
Open Access | Times Cited: 5
GOMP: Grasp-Optimized Motion Planning for Bin Picking
Jeffrey Ichnowski, Michael Danielczuk, Jingyi Xu, et al.
(2020)
Open Access | Times Cited: 37
DefGraspSim: Physics-Based Simulation of Grasp Outcomes for 3D Deformable Objects
Isabella Huang, Yashraj Narang, Clemens Eppner, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 3, pp. 6274-6281
Open Access | Times Cited: 16
6IMPOSE: bridging the reality gap in 6D pose estimation for robotic grasping
Hongpeng Cao, Lukas Dirnberger, Daniele Bernardini, et al.
Frontiers in Robotics and AI (2023) Vol. 10
Open Access | Times Cited: 9
Language-driven Grasp Detection
An Dinh Vuong, Minh Nhat Vu, Baoru Huang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 33, pp. 17902-17912
Closed Access | Times Cited: 3
End-to-End Learning to Grasp via Sampling From Object Point Clouds
Antonio Alliegro, Martin Rudorfer, Fabio Frattin, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 4, pp. 9865-9872
Open Access | Times Cited: 14
Multi-Fingered Active Grasp Learning
Qingkai Lu, Mark Van der Merwe, Tucker Hermans
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2020)
Open Access | Times Cited: 23
Robotic grippers for large and soft object manipulation
Kristóf Takács, Alex Mason, Lars Bager Christensen, et al.
(2020)
Open Access | Times Cited: 17
DefGraspSim: Simulation-based grasping of 3D deformable objects
Isabella Huang, Yashraj Narang, Clemens Eppner, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 13
MetaGraspNetV2: All-in-One Dataset Enabling Fast and Reliable Robotic Bin Picking via Object Relationship Reasoning and Dexterous Grasping
Maximilian Gilles, Yuhao Chen, E. Zhixuan Zeng, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 3, pp. 2302-2320
Open Access | Times Cited: 5
DA$^{2}$ Dataset: Toward Dexterity-Aware Dual-Arm Grasping
Guangyao Zhai, Y. Zheng, Ziwei Xu, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 4, pp. 8941-8948
Open Access | Times Cited: 8
Learning Realistic and Reasonable Grasps for Anthropomorphic Hand in Cluttered Scenes
Haonan Duan, Yiming Li, Daheng Li, et al.
(2024), pp. 1893-1899
Closed Access | Times Cited: 1
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds
Lirui Wang, Yu Xiang, Dieter Fox
arXiv (Cornell University) (2020)
Open Access | Times Cited: 11
Predicting Stable Configurations for Semantic Placement of Novel Objects
Chris Paxton, Chris Xie, Tucker Hermans, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 9
Dynamic grasping of manipulator based on realtime smooth trajectory generation
Bo Liu, Shimin Wei, Mingfeng Yao, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2023) Vol. 238, Iss. 1, pp. 188-202
Closed Access | Times Cited: 3
Multi-Fingered Active Grasp Learning
Qingkai Lu, Mark Van der Merwe, Tucker Hermans
arXiv (Cornell University) (2020)
Open Access | Times Cited: 6
Alternative Paths Planner (APP) for Provably Fixed-time Manipulation Planning in Semi-structured Environments
Fahad Islam, Chris Paxton, Clemens Eppner, et al.
(2021), pp. 6534-6540
Open Access | Times Cited: 6
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