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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:

Grasp Pose Detection with Affordance-based Task Constraint Learning in Single-view Point Clouds
Kun Qian, Xingshuo Jing, Yanhui Duan, et al.
Journal of Intelligent & Robotic Systems (2020) Vol. 100, Iss. 1, pp. 145-163
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Data-driven robotic visual grasping detection for unknown objects: A problem-oriented review
Hongkun Tian, Kechen Song, Song Li, et al.
Expert Systems with Applications (2022) Vol. 211, pp. 118624-118624
Closed Access | Times Cited: 40
Robotics Dexterous Grasping: The Methods Based on Point Cloud and Deep Learning
Haonan Duan, Peng Wang, Ya-Yu Huang, et al.
Frontiers in Neurorobotics (2021) Vol. 15
Open Access | Times Cited: 43
Adaptive Grasp Pose Optimization for Robotic Arms Using Low-Cost Depth Sensors in Complex Environments
Andy Guan Hong Chen, Xuanfeng Li, Kerui Cen, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 909-909
Open Access
A CNN-Based Grasp Planning Method for Random Picking of Unknown Objects with a Vacuum Gripper
Hui Zhang, Jef Peeters, Eric Demeester, et al.
Journal of Intelligent & Robotic Systems (2021) Vol. 103, Iss. 4
Closed Access | Times Cited: 26
Environment-adaptive learning from demonstration for proactive assistance in human–robot collaborative tasks
Kun Qian, Xin Xu, Huan Liu, et al.
Robotics and Autonomous Systems (2022) Vol. 151, pp. 104046-104046
Closed Access | Times Cited: 16
Domain adversarial transfer for cross-domain and task-constrained grasp pose detection
Xingshuo Jing, Kun Qian, Xin Xu, et al.
Robotics and Autonomous Systems (2021) Vol. 145, pp. 103872-103872
Closed Access | Times Cited: 17
Grasp Pose Learning from Human Demonstration with Task Constraints
Yinghui Liu, Kun Qian, Xin Xu, et al.
Journal of Intelligent & Robotic Systems (2022) Vol. 105, Iss. 2
Closed Access | Times Cited: 11
Object affordance detection with boundary-preserving network for robotic manipulation tasks
Congcong Yin, Qiuju Zhang
Neural Computing and Applications (2022) Vol. 34, Iss. 20, pp. 17963-17980
Closed Access | Times Cited: 9
A Survey of Visual Affordance Recognition Based on Deep Learning
Dongpan Chen, Dehui Kong, Jinghua Li, et al.
IEEE Transactions on Big Data (2023) Vol. 9, Iss. 6, pp. 1458-1476
Closed Access | Times Cited: 5
The State of Lifelong Learning in Service Robots:
Hamidreza Kasaei, Jorik Melsen, Floris van Beers, et al.
Journal of Intelligent & Robotic Systems (2021) Vol. 103, Iss. 1
Open Access | Times Cited: 11
An adaptive planning framework for dexterous robotic grasping with grasp type detection
Zhen Deng, Bin Fang, Bingwei He, et al.
Robotics and Autonomous Systems (2021) Vol. 140, pp. 103727-103727
Closed Access | Times Cited: 10
Learning 6-DoF Task-oriented Grasp Detection via Implicit Estimation and Visual Affordance
Wenkai Chen, Hongzhuo Liang, Zhaopeng Chen, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022), pp. 762-769
Open Access | Times Cited: 7
Hierarchical and parameterized learning of pick-and-place manipulation from under-specified human demonstrations
Kun Qian, Huan Liu, Jaime Valls Miró, et al.
Advanced Robotics (2020) Vol. 34, Iss. 13, pp. 858-872
Closed Access | Times Cited: 9
Pixel-Level Domain Adaptation for Real-to-Sim Object Pose Estimation
Kun Qian, Yanhui Duan, Chaomin Luo, et al.
IEEE Transactions on Cognitive and Developmental Systems (2023) Vol. 15, Iss. 3, pp. 1618-1627
Closed Access | Times Cited: 3
Object pose estimation based on stereo vision with improvedK‐DtreeICPalgorithm
Li Huang, Cheng Wang, Juntong Yun, et al.
Concurrency and Computation Practice and Experience (2023) Vol. 35, Iss. 21
Closed Access | Times Cited: 3
GVGNet: Gaze-Directed Visual Grounding for Learning Under-Specified Object Referring Intention
Kun Qian, Zhuoyang Zhang, Wei Song, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 9, pp. 5990-5997
Closed Access | Times Cited: 3
Ground Plane Segmentation and Outliers Removal in Point Clouds of Electrical Substations
Fei Wang, Zikai Fan, Yan Li, et al.
(2023)
Closed Access | Times Cited: 2
VL-Grasp: a 6-Dof Interactive Grasp Policy for Language-Oriented Objects in Cluttered Indoor Scenes
Yuhao Lu, Yixuan Fan, Beixing Deng, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 976-983
Open Access | Times Cited: 2
On Robustness of Robotic and Autonomous Systems Perception
Cristiano Rafael Steffens, Lucas Ricardo Vieira Messias, Paulo Drews, et al.
Journal of Intelligent & Robotic Systems (2021) Vol. 101, Iss. 3
Closed Access | Times Cited: 5
Gaze-directed Visual Grounding under Object Referring Uncertainty
Dailing Zhang, Yinxiao Tian, Kaifeng Chen, et al.
2022 41st Chinese Control Conference (CCC) (2022), pp. 3807-3811
Closed Access | Times Cited: 3
Trajectory Optimization for Manipulation Considering Grasp Selection and Adjustment
Jun Shao, Jianfeng Liao, Shiqiang Zhu, et al.
Journal of Intelligent & Robotic Systems (2023) Vol. 109, Iss. 1
Closed Access | Times Cited: 1
Contrastively Learning Visual Attention as Affordance Cues from Demonstrations for Robotic Grasping
Yan Zha, Siddhant Bhambri, Lin Guan
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2021), pp. 7835-7842
Open Access | Times Cited: 3
Vote for Grasp Poses from Noisy Point Sets by Learning From Human
Linrui Tian, Jian Wu, Zhenhua Xiong, et al.
2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (2021), pp. 349-356
Closed Access | Times Cited: 3
A Keypoint-based Object Representation for Generating Task-specific Grasps
Mark Robson, Mohan Sridharan
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2022), pp. 374-381
Closed Access | Times Cited: 2
Target-driven Object Grasping Method for Mobile Manipulator in Clutter
Xinkai Yu, Yongzhuo Gao, Wei Dong, et al.
2021 IEEE International Conference on Unmanned Systems (ICUS) (2022), pp. 980-985
Closed Access | Times Cited: 2
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