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 explainable intelligence fault diagnosis framework for rotating machinery
Daoguang Yang, Hamid Reza Karimi, Len Gelman
Neurocomputing (2023) Vol. 541, pp. 126257-126257
Open Access | Times Cited: 29
Daoguang Yang, Hamid Reza Karimi, Len Gelman
Neurocomputing (2023) Vol. 541, pp. 126257-126257
Open Access | Times Cited: 29
Showing 1-25 of 29 citing articles:
A light deep adaptive framework toward fault diagnosis of a hydraulic piston pump
Shengnan Tang, Boo Cheong Khoo, Yong Zhu, et al.
Applied Acoustics (2024) Vol. 217, pp. 109807-109807
Closed Access | Times Cited: 27
Shengnan Tang, Boo Cheong Khoo, Yong Zhu, et al.
Applied Acoustics (2024) Vol. 217, pp. 109807-109807
Closed Access | Times Cited: 27
Attention on the key modes: Machinery fault diagnosis transformers through variational mode decomposition
Hebin Liu, Qizhi Xu, Xiaolin Han, et al.
Knowledge-Based Systems (2024) Vol. 289, pp. 111479-111479
Closed Access | Times Cited: 16
Hebin Liu, Qizhi Xu, Xiaolin Han, et al.
Knowledge-Based Systems (2024) Vol. 289, pp. 111479-111479
Closed Access | Times Cited: 16
Application of deep learning to fault diagnosis of rotating machineries
Hao Su, Ling Xiang, Aijun Hu
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 042003-042003
Open Access | Times Cited: 15
Hao Su, Ling Xiang, Aijun Hu
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 042003-042003
Open Access | Times Cited: 15
A novel method of rolling bearings fault diagnosis based on singular spectrum decomposition and optimized stochastic configuration network
Shenquan Wang, Ganggang Lian, Chao Cheng, et al.
Neurocomputing (2024) Vol. 574, pp. 127278-127278
Closed Access | Times Cited: 11
Shenquan Wang, Ganggang Lian, Chao Cheng, et al.
Neurocomputing (2024) Vol. 574, pp. 127278-127278
Closed Access | Times Cited: 11
Rotating machinery fault diagnosis method based on multi-level fusion framework of multi-sensor information
Xiangqu Xiao, Chaoshun Li, Hongxiang He, et al.
Information Fusion (2024) Vol. 113, pp. 102621-102621
Closed Access | Times Cited: 6
Xiangqu Xiao, Chaoshun Li, Hongxiang He, et al.
Information Fusion (2024) Vol. 113, pp. 102621-102621
Closed Access | Times Cited: 6
Explainable AI in Manufacturing and Industrial Cyber–Physical Systems: A Survey
Sajad Moosavi, Maryam Farajzadeh-Zanjani, Roozbeh Razavi–Far, et al.
Electronics (2024) Vol. 13, Iss. 17, pp. 3497-3497
Open Access | Times Cited: 5
Sajad Moosavi, Maryam Farajzadeh-Zanjani, Roozbeh Razavi–Far, et al.
Electronics (2024) Vol. 13, Iss. 17, pp. 3497-3497
Open Access | Times Cited: 5
Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments
Ali Saeed, Muazzam A. Khan, Usman Akram, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Ali Saeed, Muazzam A. Khan, Usman Akram, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A Novel Adaptive Wavelet Feature Fusion Networks for Anti-Noise Rotating Machinery Fault Diagnosis
Daoguang Yang, Hongzhi Tan, Zhe Li
Lecture notes in electrical engineering (2025), pp. 295-302
Closed Access
Daoguang Yang, Hongzhi Tan, Zhe Li
Lecture notes in electrical engineering (2025), pp. 295-302
Closed Access
Improving Accuracy and Interpretability of CNN-Based Fault Diagnosis through an Attention Mechanism
Yubiao Huang, Jiaqing Zhang, Rui Liu, et al.
Processes (2023) Vol. 11, Iss. 11, pp. 3233-3233
Open Access | Times Cited: 10
Yubiao Huang, Jiaqing Zhang, Rui Liu, et al.
Processes (2023) Vol. 11, Iss. 11, pp. 3233-3233
Open Access | Times Cited: 10
Enhancing Reliability Through Interpretability: A Comprehensive Survey of Interpretable Intelligent Fault Diagnosis in Rotating Machinery
Gang Chen, Junlin Yuan, Yiyue Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 103348-103379
Open Access | Times Cited: 3
Gang Chen, Junlin Yuan, Yiyue Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 103348-103379
Open Access | Times Cited: 3
Adaptive feature consolidation residual network for exemplar-free continuous diagnosis of rotating machinery with fault-type increments
Yan Zhang, Changqing Shen, Xingli Zhong, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102715-102715
Closed Access | Times Cited: 2
Yan Zhang, Changqing Shen, Xingli Zhong, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102715-102715
Closed Access | Times Cited: 2
A novel interpretable semi-supervised graph learning model for intelligent fault diagnosis of hydraulic pumps
Ying Li, Lijie Zhang, Siyuan Liu, et al.
Knowledge-Based Systems (2024) Vol. 305, pp. 112598-112598
Closed Access | Times Cited: 2
Ying Li, Lijie Zhang, Siyuan Liu, et al.
Knowledge-Based Systems (2024) Vol. 305, pp. 112598-112598
Closed Access | Times Cited: 2
Research on a Fault Diagnosis Method for the Braking Control System of an Electric Multiple Unit Based on Deep Learning Integration
Yueheng Wang, Haixiang Lin, Dong Li, et al.
Machines (2024) Vol. 12, Iss. 1, pp. 70-70
Open Access | Times Cited: 1
Yueheng Wang, Haixiang Lin, Dong Li, et al.
Machines (2024) Vol. 12, Iss. 1, pp. 70-70
Open Access | Times Cited: 1
Rolling mill fault diagnosis under limited datasets
Junjie He, Peiming Shi, Xuefang Xu, et al.
Knowledge-Based Systems (2024) Vol. 291, pp. 111579-111579
Closed Access | Times Cited: 1
Junjie He, Peiming Shi, Xuefang Xu, et al.
Knowledge-Based Systems (2024) Vol. 291, pp. 111579-111579
Closed Access | Times Cited: 1
Prior knowledge-infused Self-Supervised Learning and explainable AI for Fault Detection and Isolation in PEM electrolyzers
Balyogi Mohan Dash, Belkacem Ould Bouamama, Komi Midzodzi Pékpé, et al.
Neurocomputing (2024) Vol. 594, pp. 127871-127871
Closed Access | Times Cited: 1
Balyogi Mohan Dash, Belkacem Ould Bouamama, Komi Midzodzi Pékpé, et al.
Neurocomputing (2024) Vol. 594, pp. 127871-127871
Closed Access | Times Cited: 1
A new multi-modal time series transformation method and multi-scale convolutional attention network for railway wagon bearing fault diagnosis
Zhihui Men, Yonghua Li, Wuchu Tang, et al.
Journal of Vibration and Control (2024)
Closed Access | Times Cited: 1
Zhihui Men, Yonghua Li, Wuchu Tang, et al.
Journal of Vibration and Control (2024)
Closed Access | Times Cited: 1
Natural Modal Sketching Network: An Interpretable Approach for Bearing Impulsive Feature Extraction
Zheng Yuan, Weihua Li, Guolin He, et al.
IEEE Transactions on Cybernetics (2024) Vol. 55, Iss. 2, pp. 953-968
Closed Access | Times Cited: 1
Zheng Yuan, Weihua Li, Guolin He, et al.
IEEE Transactions on Cybernetics (2024) Vol. 55, Iss. 2, pp. 953-968
Closed Access | Times Cited: 1
A method to detect internal leakage of hydraulic cylinder by combining data augmentation and multiscale residual CNN
Qingchuan He, Huiqi Ruan, Jun Pan, et al.
The Journal of Engineering (2023) Vol. 2023, Iss. 8
Open Access | Times Cited: 2
Qingchuan He, Huiqi Ruan, Jun Pan, et al.
The Journal of Engineering (2023) Vol. 2023, Iss. 8
Open Access | Times Cited: 2
Attention features selection oversampling technique (AFS-O) for rolling bearing fault diagnosis with class imbalance
Zhongze Han, Haoran Wang, Chen Shen, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 035002-035002
Closed Access | Times Cited: 2
Zhongze Han, Haoran Wang, Chen Shen, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 035002-035002
Closed Access | Times Cited: 2
A Semi-Supervised Federated Learning Fault Diagnosis Method Based on Adaptive Class Prototype Points for Data Suffered by High Missing Rate
Funa Zhou, Wei Xu, Chaoge Wang, et al.
Journal of Intelligent & Robotic Systems (2023) Vol. 109, Iss. 4
Closed Access | Times Cited: 2
Funa Zhou, Wei Xu, Chaoge Wang, et al.
Journal of Intelligent & Robotic Systems (2023) Vol. 109, Iss. 4
Closed Access | Times Cited: 2
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
Ali Saeed Khan
(2024)
Closed Access
Ali Saeed Khan
(2024)
Closed Access
Deep Learning based Approaches for Intelligent Industrial Machinery Health Management & Fault Diagnosis in Resource-Constrained Environments
Ali Saeed Khan, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Research Square (Research Square) (2024)
Open Access
Ali Saeed Khan, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Research Square (Research Square) (2024)
Open Access
Desirable Properties Based Neural Network Explanations Evaluation Method for Fault Diagnosis
Junfei Du, Xinyu Li, Liang Gao, et al.
Lecture notes in computer science (2024), pp. 3-16
Closed Access
Junfei Du, Xinyu Li, Liang Gao, et al.
Lecture notes in computer science (2024), pp. 3-16
Closed Access
A Blind Denoising Method for Noisy Rotating Machinery Vibration Signals
Daoguang Yang, Hamid Reza Karimi, Dayou Ma
IFAC-PapersOnLine (2024) Vol. 58, Iss. 4, pp. 740-745
Open Access
Daoguang Yang, Hamid Reza Karimi, Dayou Ma
IFAC-PapersOnLine (2024) Vol. 58, Iss. 4, pp. 740-745
Open Access
Weighted Feature Fusion of Convolutional Neural Network and Graph Convolutional Network for Mechanical Fault Diagnosis under Time-varying Speeds
Yue Yu, Hamid Reza Karimi, Caiyi Liu
IFAC-PapersOnLine (2024) Vol. 58, Iss. 4, pp. 729-733
Open Access
Yue Yu, Hamid Reza Karimi, Caiyi Liu
IFAC-PapersOnLine (2024) Vol. 58, Iss. 4, pp. 729-733
Open Access
