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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:

Learning robust, real-time, reactive robotic grasping
Douglas Morrison, Peter Corke, Jürgen Leitner
The International Journal of Robotics Research (2019) Vol. 39, Iss. 2-3, pp. 183-201
Open Access | Times Cited: 335

Showing 26-50 of 335 citing articles:

A review of robotic grasp detection technology
Minglun Dong, Jian Zhang
Robotica (2023) Vol. 41, Iss. 12, pp. 3846-3885
Closed Access | Times Cited: 16
Multiple-Object Grasping Using a Multiple-Suction-Cup Vacuum Gripper in Cluttered Scenes
Ping Jiang, Junji Oaki, Yoshiyuki Ishihara, et al.
Robotics (2024) Vol. 13, Iss. 6, pp. 85-85
Open Access | Times Cited: 7
Integration of Deep Learning and Collaborative Robot for Assembly Tasks
Enrico Méndez, Oscar Ochoa, David Olivera-Guzman, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 839-839
Open Access | Times Cited: 6
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
Robotic grasping: from wrench space heuristics to deep learning policies
J. P. Carvalho, Luís F. Rocha, P. B. de Moura Oliveira, et al.
Robotics and Computer-Integrated Manufacturing (2021) Vol. 71, pp. 102176-102176
Open Access | Times Cited: 35
GKNet: Grasp keypoint network for grasp candidates detection
Ruinian Xu, Fu-Jen Chu, Patricio A. Vela
The International Journal of Robotics Research (2022) Vol. 41, Iss. 4, pp. 361-389
Open Access | Times Cited: 27
Lightweight Pixel-Wise Generative Robot Grasping Detection Based on RGB-D Dense Fusion
Hongkun Tian, Kechen Song, Song Li, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Closed Access | Times Cited: 26
A grasps-generation-and-selection convolutional neural network for a digital twin of intelligent robotic grasping
Weifei Hu, Chuxuan Wang, Feixiang Liu, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 77, pp. 102371-102371
Closed Access | Times Cited: 25
NeuroGrasp: Multimodal Neural Network With Euler Region Regression for Neuromorphic Vision-Based Grasp Pose Estimation
Hu Cao, Guang Chen, Zhijun Li, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Open Access | Times Cited: 25
Active Visuo-Tactile Interactive Robotic Perception for Accurate Object Pose Estimation in Dense Clutter
Prajval Kumar Murali, Anirvan Dutta, Michael Gentner, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 4686-4693
Open Access | Times Cited: 24
GR-ConvNet v2: A Real-Time Multi-Grasp Detection Network for Robotic Grasping
Sulabh Kumra, Shirin Joshi, Ferat Sahin
Sensors (2022) Vol. 22, Iss. 16, pp. 6208-6208
Open Access | Times Cited: 23
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
Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement
Walter Goodwin, Sagar Vaze, Ioannis Havoutis, et al.
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 11138-11144
Open Access | Times Cited: 22
Rotation adaptive grasping estimation network oriented to unknown objects based on novel RGB-D fusion strategy
Hongkun Tian, Kechen Song, Song Li, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105842-105842
Closed Access | Times Cited: 14
Intelligent Control Systems for Industrial Automation and Robotics
Vijaykumar S. Biradar, Ali Khudhair Al‐Jiboory, Gaurav Sahu, et al.
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 1238-1243
Closed Access | Times Cited: 14
AAGDN: Attention-Augmented Grasp Detection Network Based on Coordinate Attention and Effective Feature Fusion Method
Zhenning Zhou, Xiaoxiao Zhu, Qixin Cao
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 6, pp. 3462-3469
Closed Access | Times Cited: 13
A Light-Weight Grasping Pose Estimation Method for Mobile Robotic Arms Based on Depthwise Separable Convolution
Jianguo Duan, Chuyan Ye, Qin Wang, et al.
Actuators (2025) Vol. 14, Iss. 2, pp. 50-50
Open Access
A Real-Time Semantic Segmentation Network for Robotic Arm Grasp
Li Liu, Xinlei Zhou, Mingwei He, et al.
Lecture notes in computer science (2025), pp. 179-191
Closed Access
GOMP: Grasp-Optimized Motion Planning for Bin Picking
Jeffrey Ichnowski, Michael Danielczuk, Jingyi Xu, et al.
(2020)
Open Access | Times Cited: 37
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
Robotic Objects Detection and Grasping in Clutter Based on Cascaded Deep Convolutional Neural Network
Dong Liu, Xiantong Tao, Liheng Yuan, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 71, pp. 1-10
Closed Access | Times Cited: 31
Real-Time Robotic Multigrasp Detection Using Anchor-Free Fully Convolutional Grasp Detector
Yongxiang Wu, Fuhai Zhang, Yili Fu
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 12, pp. 13171-13181
Closed Access | Times Cited: 30
Reinforcement Learning for Collaborative Robots Pick-and-Place Applications: A Case Study
Natanael Magno Gomes, Felipe Nascimento Martins, José Lima, et al.
Automation (2022) Vol. 3, Iss. 1, pp. 223-241
Open Access | Times Cited: 20
MVGrasp: Real-time multi-view 3D object grasping in highly cluttered environments
Hamidreza Kasaei, Mohammadreza Kasaei
Robotics and Autonomous Systems (2022) Vol. 160, pp. 104313-104313
Open Access | Times Cited: 19
Discriminative Active Learning for Robotic Grasping in Cluttered Scene
Boyan Wei, Xianfeng Ye, Chengjiang Long, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 3, pp. 1858-1865
Closed Access | Times Cited: 11

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