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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:

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

Showing 1-25 of 54 citing articles:

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
Robot Skill Generalization: Feature-Selected Adaptation Transfer for Peg-in-Hole Assembly
Ligang Jin, Yu Men, Rui Song, et al.
IEEE Transactions on Industrial Electronics (2023) Vol. 71, Iss. 3, pp. 2748-2757
Closed Access | Times Cited: 13
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
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
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
An Improved SAC-based Deep Reinforcement Learning Framework for Collaborative Pushing and Grasping in Underwater Environments
Jian Gao, Yufeng Li, Yimin Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access | Times Cited: 3
A Novel Robotic Pushing and Grasping Method Based on Vision Transformer and Convolution
Sheng Yu, Di‐Hua Zhai, Yuanqing Xia
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 8, pp. 10832-10845
Closed Access | Times Cited: 8
Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses
Hao Zhang, Hongzhuo Liang, Cong Lin, et al.
(2023)
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
PLOT: Human-like Push-grasping Synergy Learning in Clutter with One-shot Target Recognition
Xiaoge Cao, Tao Lu, Liming Zheng, et al.
IEEE Transactions on Cognitive and Developmental Systems (2024) Vol. 16, Iss. 4, pp. 1391-1404
Closed Access | Times Cited: 2
Ground4Act: Leveraging visual-language model for collaborative pushing and grasping in clutter
Yuxiang Yang, Jiangtao Guo, Zilong Li, et al.
Image and Vision Computing (2024), pp. 105280-105280
Open Access | Times Cited: 2
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
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
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
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
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
Review of Reinforcement Learning for Robotic Grasping: Analysis and Recommendations
Hiba Sekkat, Oumaima Moutik, Loubna Ourabah, et al.
Statistics Optimization & Information Computing (2023) Vol. 12, Iss. 2, pp. 571-601
Open Access | Times Cited: 4
Efficient Stacking and Grasping in Unstructured Environments
Fei Wang, Yue Liu, Manyi Shi, et al.
Journal of Intelligent & Robotic Systems (2024) Vol. 110, Iss. 2
Open Access | Times Cited: 1
An Efficient Robotic Pushing and Grasping Method in Cluttered Scene
Sheng Yu, Di‐Hua Zhai, Yuanqing Xia, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 9, pp. 4889-4902
Closed Access | Times Cited: 1
Integration of Deep Q-Learning with a Grasp Quality Network for Robot Grasping in Cluttered Environments
Chih-Yung Huang, Yu-Hsiang Shao
Journal of Intelligent & Robotic Systems (2024) Vol. 110, Iss. 3
Open Access | Times Cited: 1
Self-supervised Learning for Joint Pushing and Grasping Policies in Highly Cluttered Environments
Yongliang Wang, Kamal Mokhtar, Cock Heemskerk, et al.
(2024), pp. 13840-13847
Open Access | Times Cited: 1
Learning Target-Oriented Push-Grasping Synergy in Clutter With Action Space Decoupling
Enbo Li, Haibo Feng, Songyuan Zhang, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 4, pp. 11966-11973
Closed Access | Times Cited: 7
Research on the autonomous system of the quadruped robot with a manipulator to realize leader‐following, object recognition, navigation and operation
Jiamin Guo, Hui Chai, Yibin Li, et al.
IET Cyber-Systems and Robotics (2022) Vol. 4, Iss. 4, pp. 376-388
Open Access | Times Cited: 6
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
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