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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:

Linear Push Policies to Increase Grasp Access for Robot Bin Picking
Michael Danielczuk, Jeffrey Mahler, Chris Correa, et al.
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2018), pp. 1249-1256
Closed Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Learning ambidextrous robot grasping policies
Jeffrey Mahler, Matthew Matl, Vishal Satish, et al.
Science Robotics (2019) Vol. 4, Iss. 26
Closed Access | Times Cited: 488
A Deep Learning Approach to Grasping the Invisible
Yang Yang, Hengyue Liang, Changhyun Choi
IEEE Robotics and Automation Letters (2020) Vol. 5, Iss. 2, pp. 2232-2239
Open Access | Times Cited: 89
Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data
Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, et al.
(2020), pp. 9411-9418
Open Access | Times Cited: 87
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
Large-Scale Multi-Object Rearrangement
Eric Huang, Zhenzhong Jia, Matthew T. Mason
2022 International Conference on Robotics and Automation (ICRA) (2019), pp. 211-218
Closed Access | Times Cited: 61
Efficient Learning of Goal-Oriented Push-Grasping Synergy in Clutter
Kechun Xu, Hongxiang Yu, Qianen Lai, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 4, pp. 6337-6344
Open Access | Times Cited: 54
Multi-object Grasping in the Plane
Wisdom C. Agboh, Jeffrey Ichnowski, Ken Goldberg, et al.
Springer proceedings in advanced robotics (2023), pp. 222-238
Closed Access | Times Cited: 17
Multi-Object Rearrangement with Monte Carlo Tree Search: A Case Study on Planar Nonprehensile Sorting
Haoran Song, Joshua A. Haustein, Weihao Yuan, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2020), pp. 9433-9440
Open Access | Times Cited: 43
An obstacle separation method for robotic picking of fruits in clusters
Ya Xiong, Yuanyue Ge, Pål Johan From
Computers and Electronics in Agriculture (2020) Vol. 175, pp. 105397-105397
Open Access | Times Cited: 39
Split Deep Q-Learning for Robust Object Singulation
Iason Sarantopoulos, Marios Kiatos, Zoe Doulgeri, et al.
(2020), pp. 6225-6231
Open Access | Times Cited: 35
Vision-Based Robotic Arm Control Algorithm Using Deep Reinforcement Learning for Autonomous Objects Grasping
Hiba Sekkat, Smail Tigani, Rachid Saadane, et al.
Applied Sciences (2021) Vol. 11, Iss. 17, pp. 7917-7917
Open Access | Times Cited: 32
Visual Foresight Trees for Object Retrieval From Clutter With Nonprehensile Rearrangement
Baichuan Huang, Shuai D. Han, Jingjin Yu, et al.
IEEE Robotics and Automation Letters (2021) Vol. 7, Iss. 1, pp. 231-238
Open Access | Times Cited: 31
Affordance-Based Grasping Point Detection Using Graph Convolutional Networks for Industrial Bin-Picking Applications
Ander Iriondo, Elena Lazkano, Ander Ansuategi
Sensors (2021) Vol. 21, Iss. 3, pp. 816-816
Open Access | Times Cited: 29
Prehensile and Non-Prehensile Robotic Pick-and-Place of Objects in Clutter Using Deep Reinforcement Learning
Muhammad Babar Imtiaz, Yuansong Qiao, Brian Lee
Sensors (2023) Vol. 23, Iss. 3, pp. 1513-1513
Open Access | Times Cited: 11
Total Singulation With Modular Reinforcement Learning
Iason Sarantopoulos, Marios Kiatos, Zoe Doulgeri, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 2, pp. 4117-4124
Open Access | Times Cited: 20
Learning to Efficiently Plan Robust Frictional Multi-Object Grasps
Wisdom C. Agboh, Satvik Sharma, Kishore Srinivas, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 10660-10667
Open Access | Times Cited: 8
Mechanical Search on Shelves using Lateral Access X-RAY
Huang Huang, Marcus Dominguez-Kuhne, Vishal Satish, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021)
Open Access | Times Cited: 18
Efficient push-grasping for multiple target objects in clutter environments
Liangdong Wu, Yurou Chen, Zhengwei Li, et al.
Frontiers in Neurorobotics (2023) Vol. 17
Open Access | Times Cited: 7
A 6D Pose Estimation for Robotic Bin-Picking Using Point-Pair Features with Curvature (Cur-PPF)
Xining Cui, Menghui Yu, Linqigao Wu, et al.
Sensors (2022) Vol. 22, Iss. 5, pp. 1805-1805
Open Access | Times Cited: 11
Synergistic Task and Motion Planning With Reinforcement Learning-Based Non-Prehensile Actions
Gaoyuan Liu, Joris De Winter, Denis Steckelmacher, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 5, pp. 2764-2771
Open Access | Times Cited: 6
Two-Stage Grasping: A New Bin Picking Framework for Small Objects
Hanwen Cao, Jianshu Zhou, Junda Huang, et al.
(2023)
Open Access | Times Cited: 6
Interleaving Monte Carlo Tree Search and Self-Supervised Learning for Object Retrieval in Clutter
Baichuan Huang, Teng Guo, Abdeslam Boularias, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 625-632
Open Access | Times Cited: 10
Push-to-See: Learning Non-Prehensile Manipulation to Enhance Instance Segmentation via Deep Q-Learning
Baris Serhan, Harit Pandya, Ayşe Küçükyılmaz, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 1513-1519
Open Access | Times Cited: 10
Push-MOG: Efficient Pushing to Consolidate Polygonal Objects for Multi-Object Grasping
Shrey Aeron, Edith Llontop, Aviv Adler, et al.
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2023), pp. 1-6
Open Access | Times Cited: 5
Parallel Monte Carlo Tree Search with Batched Rigid-body Simulations for Speeding up Long-Horizon Episodic Robot Planning
Baichuan Huang, Abdeslam Boularias, Jingjin Yu
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022), pp. 1153-1160
Open Access | Times Cited: 8
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