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:

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

Showing 17 citing articles:

Unsupervised Adversarial Domain Adaptation for Sim-to-Real Transfer of Tactile Images
Xingshuo Jing, Kun Qian, Tudor Jianu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 12

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

Skill generalization of tubular object manipulation with tactile sensing and Sim2Real learning
Yongqiang Zhao, Xingshuo Jing, Kun Qian, et al.
Robotics and Autonomous Systems (2022) Vol. 160, pp. 104321-104321
Closed Access | Times Cited: 16

Grasping detection of dual manipulators based on Markov decision process with neural network
Juntong Yun, Du Jiang, Li Huang, et al.
Neural Networks (2023) Vol. 169, pp. 778-792
Closed Access | Times Cited: 10

GPDAN: Grasp Pose Domain Adaptation Network for Sim-to-Real 6-DoF Object Grasping
Liming Zheng, Wenxuan Ma, Yinghao Cai, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 8, pp. 4585-4592
Closed Access | Times Cited: 8

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

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

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

Visual–tactile learning of robotic cable-in-duct installation skills
Boyi Duan, Kun Qian, Aohua Liu, et al.
Automation in Construction (2024) Vol. 170, pp. 105905-105905
Closed Access

Gaze-assisted visual grounding via knowledge distillation for referred object grasping with under-specified object referring
Zhuoyang Zhang, Kun Qian, Bo Zhou, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108493-108493
Closed Access

Developing a User-Centered VR Platform for Applying Robotic Furniture
Juan David Salazar Rodriguez, Chung-Wei Feng
Lecture notes in computer science (2024), pp. 3-21
Closed Access

Contextual learning in Video Analytics for Human pose Detection using Bayesian Learning and LSTM
S. Jeevidha, S. Saraswathi, D Vishnuprasad.
(2023) Vol. 34, pp. 1-6
Closed Access

Robot Grasping in Random Scenarios Based on hybrid optimization algorithm (MR-GPD)
Songsong Zhnag, Haisong Huang, Dong Huang, et al.
Research Square (Research Square) (2022)
Open Access

Robot Grasping in Random Scenarios Based on hybrid optimization algorithm (MR-GPD)
Songsong Zhnag, Haisong Huang
Research Square (Research Square) (2022)
Open Access

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