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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:

Robust object grasping in clutter via singulation
Marios Kiatos, Sotiris Malassiotis
2022 International Conference on Robotics and Automation (ICRA) (2019)
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

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
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
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
Collaborative Pushing and Grasping of Tightly Stacked Objects via Deep Reinforcement Learning
Yuxiang Yang, Zhihao Ni, Mingyu Gao, et al.
IEEE/CAA Journal of Automatica Sinica (2021) Vol. 9, Iss. 1, pp. 135-145
Closed Access | Times Cited: 41
Challenges for Monocular 6D Object Pose Estimation in Robotics
Stefan Thalhammer, Dominik Bauer, Peter Hönig, et al.
IEEE Transactions on Robotics (2024) Vol. 40, pp. 4065-4084
Open Access | Times Cited: 7
Review of Learning-Based Robotic Manipulation in Cluttered Environments
Marwan Qaid Mohammed, Lee Chung Kwek, Shing Chyi Chua, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 7938-7938
Open Access | Times Cited: 23
Collaborative Pushing and Grasping in Complex Scenarios via a Generator-Evaluator Network with Multiple Action Primitives
Guoyu Zuo, Zihao Wang, Yongkang Luo, et al.
Lecture notes in computer science (2025), pp. 359-373
Closed Access
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
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
A Joint Modeling of Vision-Language-Action for Target-oriented Grasping in Clutter
Kechun Xu, Shuqi Zhao, Zhongxiang Zhou, et al.
(2023)
Open Access | Times Cited: 11
A Geometric Approach for Grasping Unknown Objects With Multifingered Hands
Marios Kiatos, Sotiris Malassiotis, Iason Sarantopoulos
IEEE Transactions on Robotics (2020) Vol. 37, Iss. 3, pp. 735-746
Open Access | Times Cited: 28
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
Algorithms and Systems for Manipulating Multiple Objects
Zherong Pan, Andy Zeng, Yunzhu Li, et al.
IEEE Transactions on Robotics (2022) Vol. 39, Iss. 1, pp. 2-20
Closed Access | Times Cited: 14
GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutter
Zhan Liu, Ziwei Wang, Sichao Huang, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022), pp. 1388-1395
Open Access | Times Cited: 14
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
Interactive control algorithm for shoulder-amputated prosthesis and object based on reinforcement learning
Baojiang Li, Haiyan Ye, Yuting Guo, et al.
Transactions of the Institute of Measurement and Control (2024) Vol. 46, Iss. 13, pp. 2509-2520
Closed Access | Times Cited: 2
Decision Making in Joint Push-Grasp Action Space for Large-Scale Object Sorting
Zherong Pan, Kris Hauser
(2021), pp. 6199-6205
Open Access | Times Cited: 17
Towards Living Machines: current and future trends of tactile sensing, grasping, and social robotics
Vasiliki Vouloutsi, Lorenzo Cominelli, Mehmet R. Doğar, et al.
Bioinspiration & Biomimetics (2023) Vol. 18, Iss. 2, pp. 025002-025002
Open Access | Times Cited: 6
Learning Bifunctional Push-Grasping Synergistic Strategy for Goal-Agnostic and Goal-Oriented Tasks
Dafa Ren, Shuang Wu, Xiaofan Wang, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023)
Open Access | Times Cited: 6
Deep Reinforcement Learning-Based Robotic Grasping in Clutter and Occlusion
Marwan Qaid Mohammed, Lee Chung Kwek, Shing Chyi Chua, et al.
Sustainability (2021) Vol. 13, Iss. 24, pp. 13686-13686
Open Access | Times Cited: 11
Picking out the Impurities: Attention-based Push-Grasping in Dense Clutter
Ning Lü, Yinghao Cai, Tao Lu, et al.
Robotica (2022) Vol. 41, Iss. 2, pp. 470-485
Closed Access | Times Cited: 7
Collaborative Viewpoint Adjusting and Grasping via Deep Reinforcement Learning in Clutter Scenes
Ning Liu, Cangui Guo, Rongzhao Liang, et al.
Machines (2022) Vol. 10, Iss. 12, pp. 1135-1135
Open Access | Times Cited: 7
Self-supervised Interactive Object Segmentation Through a Singulation-and-Grasping Approach
Houjian Yu, Changhyun Choi
Lecture notes in computer science (2022), pp. 621-637
Closed Access | Times Cited: 6
Position‐aware pushing and grasping synergy with deep reinforcement learning in clutter
Min Zhao, Guoyu Zuo, Shuangyue Yu, et al.
CAAI Transactions on Intelligence Technology (2023) Vol. 9, Iss. 3, pp. 738-755
Open Access | Times Cited: 3
Decision Making in Joint Push-Grasp Action Space for Large-Scale Object Sorting
Zherong Pan, Kris Hauser
arXiv (Cornell University) (2020)
Open Access | Times Cited: 4
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