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:
Antipodal Robotic Grasping using Generative Residual Convolutional Neural Network
Sulabh Kumra, Shirin Joshi, Ferat Sahin
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2020)
Open Access | Times Cited: 270
Sulabh Kumra, Shirin Joshi, Ferat Sahin
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2020)
Open Access | Times Cited: 270
Showing 1-25 of 270 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
Guoguang Du, Kai Wang, Shiguo Lian, et al.
Artificial Intelligence Review (2020) Vol. 54, Iss. 3, pp. 1677-1734
Open Access | Times Cited: 354
SE-ResUNet: A Novel Robotic Grasp Detection Method
Sheng Yu, Di‐Hua Zhai, Yuanqing Xia, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 5238-5245
Closed Access | Times Cited: 75
Sheng Yu, Di‐Hua Zhai, Yuanqing Xia, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 5238-5245
Closed Access | Times Cited: 75
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: 84
Stefan Ainetter, Friedrich Fraundorfer
(2021), pp. 13452-13458
Open Access | Times Cited: 84
When Transformer Meets Robotic Grasping: Exploits Context for Efficient Grasp Detection
Shaochen Wang, Zhangli Zhou, Zhen Kan
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 3, pp. 8170-8177
Open Access | Times Cited: 57
Shaochen Wang, Zhangli Zhou, Zhen Kan
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 3, pp. 8170-8177
Open Access | Times Cited: 57
Efficient Grasp Detection Network With Gaussian-Based Grasp Representation for Robotic Manipulation
Hu Cao, Guang Chen, Zhijun Li, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 28, Iss. 3, pp. 1384-1394
Closed Access | Times Cited: 33
Hu Cao, Guang Chen, Zhijun Li, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 28, Iss. 3, pp. 1384-1394
Closed Access | Times Cited: 33
A Robot Grasping System With Single-Stage Anchor-Free Deep Grasp Detector
Hu Cheng, Yingying Wang, Max Q.‐H. Meng
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Closed Access | Times Cited: 32
Hu Cheng, Yingying Wang, Max Q.‐H. Meng
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Closed Access | Times Cited: 32
A Vision-Based Robot Grasping System
Hu Cheng, Yingying Wang, Max Q.‐H. Meng
IEEE Sensors Journal (2022) Vol. 22, Iss. 10, pp. 9610-9620
Closed Access | Times Cited: 31
Hu Cheng, Yingying Wang, Max Q.‐H. Meng
IEEE Sensors Journal (2022) Vol. 22, Iss. 10, pp. 9610-9620
Closed Access | Times Cited: 31
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
Ping Jiang, Junji Oaki, Yoshiyuki Ishihara, et al.
Robotics (2024) Vol. 13, Iss. 6, pp. 85-85
Open Access | Times Cited: 7
Real-Time Object Detection and Robotic Manipulation for Agriculture Using a YOLO-Based Learning Approach
Hongyu Zhao, Zezhi Tang, Zhenghong Li, et al.
2022 IEEE International Conference on Industrial Technology (ICIT) (2024)
Open Access | Times Cited: 6
Hongyu Zhao, Zezhi Tang, Zhenghong Li, et al.
2022 IEEE International Conference on Industrial Technology (ICIT) (2024)
Open Access | Times Cited: 6
Robot-Assisted Glovebox Teleoperation for Nuclear Industry
Ozan Tokatlı, Pragna Das, Radhika Nath, et al.
Robotics (2021) Vol. 10, Iss. 3, pp. 85-85
Open Access | Times Cited: 35
Ozan Tokatlı, Pragna Das, Radhika Nath, et al.
Robotics (2021) Vol. 10, Iss. 3, pp. 85-85
Open Access | Times Cited: 35
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
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
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
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
Sample Efficient Grasp Learning Using Equivariant Models
Xupeng Zhu, Dian Wang, Ondřej Bíža, et al.
(2022)
Open Access | Times Cited: 23
Xupeng Zhu, Dian Wang, Ondřej Bíža, et al.
(2022)
Open Access | Times Cited: 23
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
Sulabh Kumra, Shirin Joshi, Ferat Sahin
Sensors (2022) Vol. 22, Iss. 16, pp. 6208-6208
Open Access | Times Cited: 23
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
Zhenning Zhou, Xiaoxiao Zhu, Qixin Cao
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 6, pp. 3462-3469
Closed Access | Times Cited: 13
Grasp-Anything: Large-scale Grasp Dataset from Foundation Models
An Dinh Vuong, Minh‐Ngoc Vu, Huy Quoc Le, et al.
(2024), pp. 14030-14037
Open Access | Times Cited: 5
An Dinh Vuong, Minh‐Ngoc Vu, Huy Quoc Le, et al.
(2024), pp. 14030-14037
Open Access | Times Cited: 5
A Lightweight Detection Model Without Convolutions for Complex Stacked Grasping Tasks
Li Ren, Yiming Kang, Haitao Jia, et al.
Electronics (2025) Vol. 14, Iss. 3, pp. 437-437
Open Access
Li Ren, Yiming Kang, Haitao Jia, et al.
Electronics (2025) Vol. 14, Iss. 3, pp. 437-437
Open Access
Recognition and Grasping of 3D Printed Concrete Reinforced Structural Parts Based on Visual Guidance
Jun Liu, Zina Zhu, Bowen Tian, et al.
Lecture notes in computer science (2025), pp. 202-213
Closed Access
Jun Liu, Zina Zhu, Bowen Tian, et al.
Lecture notes in computer science (2025), pp. 202-213
Closed Access
Exploring Deep Learning Grasping Models with Soft Anthropomorphic Robotic Hands
Daniele Bernardini, Patricia Capsi‐Morales, Lukas Dirnberger, et al.
Springer proceedings in advanced robotics (2025), pp. 137-152
Closed Access
Daniele Bernardini, Patricia Capsi‐Morales, Lukas Dirnberger, et al.
Springer proceedings in advanced robotics (2025), pp. 137-152
Closed Access
Deep Learning Based Visual Servo for Autonomous Aircraft Refueling
Natthaphop Phatthamolrat, Teerawat Tongloy, Siridech Boonsang, et al.
Engineering Reports (2025) Vol. 7, Iss. 3
Open Access
Natthaphop Phatthamolrat, Teerawat Tongloy, Siridech Boonsang, et al.
Engineering Reports (2025) Vol. 7, Iss. 3
Open Access
A Voxel-Representation-Based Data Generator of Adversarial Objects for Robotic Manipulators
Akshay, Garrett E. Katz, Chilukuri K. Mohan
Communications in computer and information science (2025), pp. 123-138
Closed Access
Akshay, Garrett E. Katz, Chilukuri K. Mohan
Communications in computer and information science (2025), pp. 123-138
Closed Access
Vision-Based Robotic Grasping: Integrating YOLOv8 and GRCNN for Dynamic Object Handling
X. Lyu, Sami Salama Hussen Hajjaj
Lecture notes in networks and systems (2025), pp. 694-704
Closed Access
X. Lyu, Sami Salama Hussen Hajjaj
Lecture notes in networks and systems (2025), pp. 694-704
Closed Access
A novel integrated method of detection-grasping for specific object based on the box coordinate matching
Zongmin Liu, Lei Qin, Jirui Wang, et al.
International Journal of Intelligent Robotics and Applications (2025)
Closed Access
Zongmin Liu, Lei Qin, Jirui Wang, et al.
International Journal of Intelligent Robotics and Applications (2025)
Closed Access
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
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
Yongxiang Wu, Fuhai Zhang, Yili Fu
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 12, pp. 13171-13181
Closed Access | Times Cited: 30
