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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:

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

Showing 22 citing articles:

An uncertainty perception metric network for machinery fault diagnosis under limited noisy source domain and scarce noisy unknown domain
Changdong Wang, Jingli Yang, Huamin Jie, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102682-102682
Closed Access | Times Cited: 30
An information fusion-based meta transfer learning method for few-shot fault diagnosis under varying operating conditions
Cuiying Lin, Yun Kong, Qinkai Han, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111652-111652
Closed Access | Times Cited: 17
Single-domain incremental generation network for machinery intelligent fault diagnosis under unknown working speeds
Yuanyue Pu, Jian Tang, Xue‐Gang Li, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102400-102400
Closed Access | Times Cited: 15
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
Based on spatial Mahalanobis distance: A novel zero-shot learning method for compound fault identification and decoupling
Miao Jiang, Yang Xiang, Chenxing Sheng
Expert Systems with Applications (2025) Vol. 272, pp. 126680-126680
Closed Access
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
Meta-learning for enhancing machines' intelligence in manufacturing
Goran D. Putnik
Tehnika (2025) Vol. 80, Iss. 1, pp. 57-75
Open Access
Few-Shot Learning Approaches for Fault Diagnosis Using Vibration Data: A Comprehensive Review
Xiaoxia Liang, Ming Zhang, Guojin Feng, et al.
Sustainability (2023) Vol. 15, Iss. 20, pp. 14975-14975
Open Access | Times Cited: 8
Deep Morphological Shrinkage Convolutional Autoencoder-Based Feature Learning of Vibration Signals for Gearbox Fault Diagnosis
Zhuang Ye, Yue Shang, Pu Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 2
Adaptive-conditional loss and correction module enhanced informer network for long-tailed fault diagnosis of motor
Mei Huang, Chenxing Sheng
Journal of Computational Design and Engineering (2024) Vol. 11, Iss. 4, pp. 306-318
Open 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
Fault Diagnosis in a Four-Arm Delta Robot Based on Wavelet Scattering Networks and Artificial Intelligence Techniques
Claudio Urrea, Carlos Domínguez
Technologies (2024) Vol. 12, Iss. 11, pp. 225-225
Open Access | Times Cited: 1
Single-Domain Incremental Generation Network for Machinery Intelligent Fault Diagnosis Under Unknown Working Speeds
Yuanyue Pu, Jian Tang, Xue‐Gang Li, et al.
(2023)
Closed Access | Times Cited: 2
Fault location estimation of power grid using graph attention networks
Peifa Shan, Lei Han, Min Lei, et al.
International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021) (2024)
Closed Access
Real-Time Space Trajectory Judgment for Industrial Robots in Welding Tasks
Xiangyang Wu, Renyong Tian, Yuncong Lei, et al.
Machines (2024) Vol. 12, Iss. 6, pp. 360-360
Open Access
Fault Detection of Power Grid Using Graph Convolutional Networks
Min Lei, Rongbo Pan, Lei Han, et al.
(2024), pp. 256-260
Closed Access
Data Privacy Preserving for Centralized Robotic Fault Diagnosis With Modified Dataset Distillation
Tao Wang, Yu Huang, Ying Liu, et al.
Journal of Computing and Information Science in Engineering (2024) Vol. 24, Iss. 10
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
A Meta-Learning Method for Few-Shot Multi-Domain State of Health Estimation of Lithium-ion Batteries
Xiaoyu Zhao, Zuolu Wang, Te Han, et al.
IEEE Transactions on Transportation Electrification (2024) Vol. 11, Iss. 1, pp. 4830-4840
Closed Access
MMLT: A Novel Multimodal Lightweight Convolutional Transformer for Fault Diagnosis with Imbalanced Data in IoT
Xiguang Li, Shiguang Shan, Xiaoming Zhou
(2024), pp. 272-277
Closed Access
Spatial Domain Image Fusion with Particle Swarm Optimization and Lightweight AlexNet for Robotic Fish Sensor Fault Diagnosis
Xuqing Fan, Sai Deng, Zhengxing Wu, et al.
Biomimetics (2023) Vol. 8, Iss. 6, pp. 489-489
Open Access | Times Cited: 1
Power Grid Fault Diagnosis Based on Federated Learning
Chuanhua Deng, Huiling Liu, Yi Zeng, et al.
(2023), pp. 165-168
Closed Access
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