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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 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

Showing 22 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
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
Compound fault diagnosis of diesel engines by combining generative adversarial networks and transfer learning
Zhiquan Cui, Yanlin Lu, Yan Xu, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 123969-123969
Closed Access | Times Cited: 10
Fault Types and Diagnostic Methods of Manipulator Robots: A Review
Yue-Peng Zhang, Jun Wu, Bo Gao, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1716-1716
Open Access
MJAR: A novel joint generalization-based diagnosis method for industrial robots with compound faults
Yiming He, Chao Zhao, Xing Zhou, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 86, pp. 102668-102668
Closed Access | Times Cited: 15
Deep feature interactive network for machinery fault diagnosis using multi-source heterogeneous data
Mengqi Miao, Jianbo Yu
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109795-109795
Closed Access | Times Cited: 14
A deep learning method combined with an electronic nose for gas information identification of soybean from different origins
Hui Zheng, An Lu
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 240, pp. 104906-104906
Closed Access | Times Cited: 12
A Hydraulic Turbine Fault Diagnosis Method Based on Synchrosqueezed Wavelet Transform and SE-ResNet
Ye Liu, Yanhe Xu, Jie Liu, et al.
Water (2025) Vol. 17, Iss. 3, pp. 447-447
Open Access
Fault detection and state estimation in robotic automatic control using machine learning
Rajesh Natarajan, Santosh Reddy P, Subash Chandra Bose, et al.
Array (2023) Vol. 19, pp. 100298-100298
Open Access | Times Cited: 7
A compound fault diagnosis model for gearboxes using correlation information between single faults
Ming Zeng, Hao Wang, Yiwei Cheng, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 036202-036202
Closed Access | Times Cited: 7
AI-Enabled Industrial Equipment Monitoring, Diagnosis and Health Management
Zhuyun Chen, Haidong Shao, Te Han, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 050102-050102
Closed Access | Times Cited: 2
Faulty control system
Atef Gharbi
Cognitive Systems Research (2024) Vol. 86, pp. 101233-101233
Closed Access | Times Cited: 2
Compact convolutional transformers- generative adversarial network for compound fault diagnosis of industrial robot
Chong Chen, Tao Wang, Kaijie Lu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109315-109315
Closed Access | Times Cited: 2
Gearbox compound fault diagnosis method based on deep adversarial graph convolution transfer learning network under low label ratios
Xiaojia Kong, Yuanhao Su, Liang Meng, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 8, pp. 085010-085010
Open Access | Times Cited: 6
Multivariate time series anomaly detection: Missing data handling and feature collaborative analysis in robot joint data
Bo Yang, Weishan Long, Yucheng Zhang, et al.
Journal of Manufacturing Systems (2024) Vol. 75, pp. 132-149
Closed Access | Times Cited: 1
A Residual Multihead Self-Attention Network Using Multimodal Shallow Feature Fusion for Motor Fault Diagnosis
Juan Feng, Jinya Su, Xiaoliang Feng
IEEE Sensors Journal (2023) Vol. 23, Iss. 23, pp. 29131-29142
Closed Access | Times Cited: 2
Dual-Stream Cross-Modal Feature Fusion Based on Multi-Scale Attention for Industrial Fault Diagnosis
Penglong Lian, Penghui Shang, Jiyang Zhang, et al.
2022 American Control Conference (ACC) (2024), pp. 1506-1511
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
Condition monitoring and fault diagnosis of industrial robots: A review
Yaguo Lei, Huan Liu, Naipeng Li, et al.
Science China Technological Sciences (2024) Vol. 68, Iss. 1
Closed Access
Fault Diagnosis for Industrial Robots Based on Informer
JunJie Song, Chong Chen, Tao Wang, et al.
2022 27th International Conference on Automation and Computing (ICAC) (2023), pp. 1-6
Closed Access | Times Cited: 1
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
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