Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Adversarial domain adaptation convolutional neural network for intelligent recognition of bearing faults
Yaochun Wu, Rongzhen Zhao, Hongru Ma, et al.
Measurement (2022) Vol. 195, pp. 111150-111150
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Unsupervised fault diagnosis of wind turbine bearing via a deep residual deformable convolution network based on subdomain adaptation under time-varying speeds
Pengfei Liang, Bin Wang, Guoqian Jiang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 118, pp. 105656-105656
Closed Access | Times Cited: 56
Domain fuzzy generalization networks for semi-supervised intelligent fault diagnosis under unseen working conditions
He Ren, Jun Wang, Zhongkui Zhu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110579-110579
Closed Access | Times Cited: 27
A novel triage-based fault diagnosis method for chemical process
Qucheng Tao, Bingru Xin, Yifan Zhang, et al.
Process Safety and Environmental Protection (2024) Vol. 183, pp. 1102-1116
Closed Access | Times Cited: 8
Decoupled interpretable robust domain generalization networks: A fault diagnosis approach across bearings, working conditions, and artificial-to-real scenarios
Qiu‐Ning Zhu, Hongqi Liu, Chenyu Bao, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102445-102445
Closed Access | Times Cited: 7
Research on fault diagnosis method of MS-CNN rolling bearing based on local central moment discrepancy
Zong Meng, Wei Cao, Dengyun Sun, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101797-101797
Closed Access | Times Cited: 28
Wavelet packet decomposition with motif patterns for rolling bearing fault diagnosis under variable working loads
Qiang Wang, Feiyun Xu, Tianchi Ma
Journal of Vibration and Control (2024)
Closed Access | Times Cited: 5
A novel meta-learning network with adversarial domain-adaptation and attention mechanism for cross-domain for train bearing fault diagnosis
Hao Zhong, Deqiang He, Zexian Wei, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 125109-125109
Closed Access | Times Cited: 5
Normalization-Guided and Gradient-Weighted Unsupervised Domain Adaptation Network for Transfer Diagnosis of Rolling Bearing Faults Under Class Imbalance
Hao Luo, Xinyue Wang, Li Zhang
Actuators (2025) Vol. 14, Iss. 1, pp. 39-39
Open Access
A survey on machine learning approaches for uncertainty quantification of engineering systems
Yan Shi, Pengfei Wei, Ke Feng, et al.
Machine learning for computational science and engineering (2025) Vol. 1, Iss. 1
Open Access
Self-supervised learning-based dual-classifier domain adaptation model for rolling bearings cross-domain fault diagnosis
Quan Jiang, Xiaoshan Lin, Xingchi Lu, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111229-111229
Closed Access | Times Cited: 14
Multi-stream domain adversarial prototype network for integrated smart roller TBM main bearing fault diagnosis across various low rotating speeds
Xingchen Fu, Keming Jiao, Jianfeng Tao, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110284-110284
Closed Access | Times Cited: 4
Minimum maximum regularized multiscale convolutional neural network and its application in intelligent fault diagnosis of rotary machines
Yaochun Wu, Shaohua Du, Guangxin Wu, et al.
ISA Transactions (2025)
Closed Access
Active federated transfer algorithm based on broad learning for fault diagnosis
Guokai Liu, Weiming Shen, Liang Gao, et al.
Measurement (2023) Vol. 208, pp. 112452-112452
Closed Access | Times Cited: 12
A Multi-Scale Attention Mechanism Based Domain Adversarial Neural Network Strategy for Bearing Fault Diagnosis
Quanling Zhang, Ningze Tang, Xing Fu, et al.
Actuators (2023) Vol. 12, Iss. 5, pp. 188-188
Open Access | Times Cited: 8
Category-aware dual adversarial domain adaptation model for rolling bearings fault diagnosis under variable conditions
Xingchi Lu, Weiyang Xu, Quan Jiang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 9, pp. 095104-095104
Closed Access | Times Cited: 7
Few-shot condition diagnosis of rolling bearing using adversarial transfer network with class aggregation-guided
Shaoning Tian, Dong Zhen, Guohua Sun, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066120-066120
Closed Access | Times Cited: 2
Parallel Convolutional Transfer Network for Bearing Fault Diagnosis Under Varying Operation States
Rui Yao, Huimin Zhao, Zhen Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access | Times Cited: 2
Subdomain adaptation network with category isolation strategy for tire defect detection
Yulong Zhang, Yilin Wang, Zhiqiang Jiang, et al.
Measurement (2022) Vol. 204, pp. 112046-112046
Closed Access | Times Cited: 10
Global receptive field graph attention network for unsupervised domain adaptation fault diagnosis in variable operating conditions
Meiling Cai, Sheng Chen, Jinping Liu, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 1
Multi-Perception Graph Convolution Transfer Network Bearing Fault Diagnosis Method
Xiaolei Pan, Hongxiao Chen, Dongdong Zhao, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4515-4515
Open Access | Times Cited: 1
Research on High-Speed Train bearing Fault Diagnosis Method based on Domain Adversarial Transfer Learning
Yingyong Zou, Wenzhuo Zhao, Tao Liu, et al.
(2024)
Open Access | Times Cited: 1
Cross-Conditions Fault Diagnosis of Rolling Bearings Based on Dual Domain Adversarial Network
Yonghua Jiang, Zhuoqi Shi, Chao Tang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-15
Closed Access | Times Cited: 3
Dual-FBG bearing fault probe based on a CNN-LSTM-encoder network
Chengang Lyu, Yanping Xiao, Jiachen Tian, et al.
Applied Optics (2023) Vol. 62, Iss. 8, pp. 1984-1984
Closed Access | Times Cited: 2
A fault diagnosis method based on improved parallel convolutional neural network for rolling bearing
Tao Xu, Huan Lv, Shoujin Lin, et al.
Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering (2023) Vol. 237, Iss. 12, pp. 2759-2771
Closed Access | Times Cited: 2
A Two-Stage Multi-Target Domain Adaptation Framework for Prediction of Key Performance Indicators Based on Adversarial Network
Cheng Su, Xin Peng, Dan Yang, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 2, pp. 1772-1787
Closed Access
Page 1 - Next Page

Scroll to top