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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:

An attention enhanced dilated CNN approach for cross-axis industrial robotics fault diagnosis
Yuxin Liu, Chong Chen, Tao Wang, et al.
Autonomous Intelligent Systems (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 16

Showing 16 citing articles:

Compound fault diagnosis for industrial robots based on dual-transformer networks
Chong Chen, Chao Liu, Tao Wang, et al.
Journal of Manufacturing Systems (2022) Vol. 66, pp. 163-178
Open Access | Times Cited: 47
Reinforcement learning-based distant supervision relation extraction for fault diagnosis knowledge graph construction under industry 4.0
Chong Chen, Tao Wang, Yu Zheng, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101900-101900
Open Access | Times Cited: 30
Prognostics and Health Management of Rotating Machinery of Industrial Robot with Deep Learning Applications—A Review
Prashant Kumar, Salman Khalid, Heung Soo Kim
Mathematics (2023) Vol. 11, Iss. 13, pp. 3008-3008
Open Access | Times Cited: 23
Lightweight Convolutional Transformers Enhanced Meta-Learning for Compound Fault Diagnosis of Industrial Robot
Chong Chen, Tao Wang, Chao Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Open Access | Times Cited: 22
Transfer learning for servomotor bearing fault detection in the industrial robot
Prashant Kumar, Izaz Raouf, Heung Soo Kim
Advances in Engineering Software (2024) Vol. 194, pp. 103672-103672
Closed Access | Times Cited: 12
An attention-enhanced multi-modal deep learning algorithm for robotic compound fault diagnosis
Xing Zhou, Hanlin Zeng, Chong Chen, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 1, pp. 014007-014007
Closed Access | Times Cited: 22
Deep transfer learning rolling bearing fault diagnosis method based on convolutional neural network feature fusion
Di Yu, H.C. Fu, Yanchen Song, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015013-015013
Closed Access | Times Cited: 12
A deep learning-based approach for electrical equipment remaining useful life prediction
Huibin Fu, Ying Liu
Autonomous Intelligent Systems (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 10
Adaptive feature fusion for scene text script identification
Fanchang Peng, Hui Ma, Li Liu, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 23, pp. 62677-62699
Closed Access | Times Cited: 1
Distant supervision knowledge extraction and knowledge graph construction method for supply chain management domain
Feiyue Huang, Lianglun Cheng
Autonomous Intelligent Systems (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 1
Gearbox Fault Diagnosis Based on Multi-Sensor Deep Spatiotemporal Feature Representation
Fengyun Xie, Wang Gan, Jiandong Shang, et al.
Mathematics (2023) Vol. 11, Iss. 12, pp. 2679-2679
Open Access | Times Cited: 4
Optimized Real-Time Monitoring and Fault Diagnosis System for Industrial Robots with Integrated Sensor Data
Min Tan, Peng Wang, Wendong Luo
(2024), pp. 764-768
Closed Access
A multi-scale graph pyramid attention network with knowledge distillation towards edge computing robotic fault diagnosis
Chong Chen, Tao Wang, Dong Mao, et al.
Expert Systems with Applications (2024), pp. 125469-125469
Closed Access
Multimodal Large Language Model-Based Fault Detection and Diagnosis in Context of Industry 4.0
Khalid Alsaif, Aiiad Albeshri, Maher Khemakhem, et al.
Electronics (2024) Vol. 13, Iss. 24, pp. 4912-4912
Open Access
Model-Agnostic Meta-Learning for Fault Diagnosis of Industrial Robots
Yuxin Liu, Chong Chen, Tao Wang, et al.
2022 27th International Conference on Automation and Computing (ICAC) (2023), pp. 1-6
Open Access | Times Cited: 1
Cross-Device Anomaly Detection of Health Status for Industrial Robot Joints Based on SWDCGAN-Deep CORAL
Hailong Zhao, Lei Xiao, Biyue Zhang
(2023), pp. 1-8
Closed Access
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