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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.

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Showing 1-25 of 33 citing articles:

Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review
Guoguang Du, Kai Wang, Shiguo Lian, et al.
Artificial Intelligence Review (2020) Vol. 54, Iss. 3, pp. 1677-1734
Open Access | Times Cited: 354
End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and Semantic Segmentation from RGB
Stefan Ainetter, Friedrich Fraundorfer
(2021), pp. 13452-13458
Open Access | Times Cited: 85
A Comprehensive Study of 3-D Vision-Based Robot Manipulation
Yang Cong, Ronghan Chen, Bingtao Ma, et al.
IEEE Transactions on Cybernetics (2021) Vol. 53, Iss. 3, pp. 1682-1698
Closed Access | Times Cited: 35
Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera
Jiahang Cao, Zheng Xu, Yuanhuiyi Lyu, et al.
(2024), pp. 9026-9032
Open Access | Times Cited: 5
EGNet: Efficient Robotic Grasp Detection Network
Sheng Yu, Di‐Hua Zhai, Yuanqing Xia
IEEE Transactions on Industrial Electronics (2022) Vol. 70, Iss. 4, pp. 4058-4067
Closed Access | Times Cited: 14
Taylor Neural Network for Unseen Object Instance Segmentation in Hierarchical Grasping
Kui Fu, Xuanju Dang, Y.F Zhang
IEEE/ASME Transactions on Mechatronics (2024) Vol. 29, Iss. 5, pp. 3485-3496
Closed Access | Times Cited: 2
Autonomous grasping of 3-D objects by a vision-actuated robot arm using Brain–Computer Interface
Arnab Rakshit, Shraman Pramanick, Anurag Bagchi, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104765-104765
Open Access | Times Cited: 6
MASK-GD segmentation based robotic grasp detection
Mingshuai Dong, Shimin Wei, Xiuli Yu, et al.
Computer Communications (2021) Vol. 178, pp. 124-130
Open Access | Times Cited: 14
Graph-Based Visual Manipulation Relationship Reasoning Network for Robotic Grasping
Guoyu Zuo, Jiayuan Tong, Hongxing Liu, et al.
Frontiers in Neurorobotics (2021) Vol. 15
Open Access | Times Cited: 13
Pixel-Reasoning-Based Robotics Fine Grasping for Novel Objects with Deep EDINet Structure
Chaoquan Shi, Chunxiao Miao, Xungao Zhong, et al.
Sensors (2022) Vol. 22, Iss. 11, pp. 4283-4283
Open Access | Times Cited: 9
A neural learning approach for simultaneous object detection and grasp detection in cluttered scenes
Yang Zhang, Lihua Xie, Yuheng Li, et al.
Frontiers in Computational Neuroscience (2023) Vol. 17
Open Access | Times Cited: 4
Safety-Optimized Strategy for Grasp Detection in High-Clutter Scenarios
Chenghao Li, Peiwen Zhou, Nak Young Chong
(2024), pp. 192-197
Closed Access | Times Cited: 1
Simplified autonomous object grasping in material handling process for human–robot collaboration
Muhammad Farouk Setiawan, P. Paryanto, Joga Dharma Setiawan
International Journal of Intelligent Robotics and Applications (2024)
Closed Access | Times Cited: 1
Robotic Grasp Detection Based on Transformer
Mingshuai Dong, Yuxuan Bai, Shimin Wei, et al.
Lecture notes in computer science (2022), pp. 437-448
Closed Access | Times Cited: 6
Few-Shot Instance Grasping of Novel Objects in Clutter
Weikun Guo, Wei Li, Ziye Hu, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 3, pp. 6566-6573
Closed Access | Times Cited: 6
AGILE: Approach-based Grasp Inference Learned from Element Decomposition
MohammadHossein Koosheshi, Hamed Hosseini, Mehdi Tale Masouleh, et al.
2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM) (2023), pp. 661-668
Open Access | Times Cited: 3
A novel vision-based multi-task robotic grasp detection method for multi-object scenes
Yanan Song, Liang Gao, Xinyu Li, et al.
Science China Information Sciences (2022) Vol. 65, Iss. 12
Closed Access | Times Cited: 4
Manipulation on-the-move: Mobile manipulation in dynamic, unstructured environments
Benjamin Burgess-Limerick
(2024)
Open Access
A digital twin of intelligent robotic grasping based on single-loop-optimized differentiable architecture search and sim-real collaborative learning
Qing Jiao, Weifei Hu, Guangbo Hao, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access
Do Similar Objects Have Similar Grasp Positions?
Qi Sun, Lili He
Sensors (2024) Vol. 24, Iss. 23, pp. 7735-7735
Open Access
Real-World Semantic Grasp Detection Using Ontology Features: Learning to Concentrate on Object Features
Mingshuai Dong, Yuxuan Bai, Shimin Wei, et al.
Neural Processing Letters (2023) Vol. 55, Iss. 6, pp. 8419-8439
Closed Access | Times Cited: 1
Grasp Detection Combining Self-Attention with CNN in Complex Scenes
Jinxing Niu, Shuo Liu, Hanbing Li, et al.
Applied Sciences (2023) Vol. 13, Iss. 17, pp. 9655-9655
Open Access | Times Cited: 1
Graph-based Visual Manipulation Relationship Reasoning in Object-Stacking Scenes
Guoyu Zuo, Jiayuan Tong, Hongxing Liu, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2021), pp. 1-8
Closed Access | Times Cited: 2
Relationship Oriented Affordance Learning through Manipulation Graph Construction
Chao Tang, Jingwen Yu, Weinan Chen, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 2
Evaluating Gaussian Grasp Maps for Generative Grasping Models
William Prew, Toby P. Breckon, Magnus Bordewich, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 1-9
Open Access | Times Cited: 1
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