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:

Balanced Adaptation Regularization Based Transfer Learning for Unsupervised Cross-Domain Fault Diagnosis
Qin Hu, Xiaosheng Si, Aisong Qin, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 12, pp. 12139-12151
Closed Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Domain Conditioned Joint Adaptation Network for Intelligent Bearing Fault Diagnosis Across Different Positions and Machines
Jiachen Kuang, Guanghua Xu, Tangfei Tao, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 4, pp. 4000-4010
Closed Access | Times Cited: 27
Transfer learning rolling bearing fault diagnosis model based on deep feature decomposition and class-level alignment
Jingchuan Dong, Hongyu Jiang, Depeng Su, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 046006-046006
Closed Access | Times Cited: 8
A New Cross-Domain Bearing Fault Diagnosis Framework Based on Transferable Features and Manifold Embedded Discriminative Distribution Adaption Under Class Imbalance
Xiao Yu, Hongshen Yin, Li Sun, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 7, pp. 7525-7545
Closed Access | Times Cited: 20
Explainable Deep Ensemble Model for Bearing Fault Diagnosis Under Variable Conditions
Zhuyun Chen, Qin Wu, Guolin He, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 15, pp. 17737-17750
Closed Access | Times Cited: 19
Bearing fault diagnosis based on inverted Mel-scale frequency cepstral coefficients and deformable convolution networks
Yunji Zhao, Baofu Qin, Yuhang Zhou, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 5, pp. 055404-055404
Closed Access | Times Cited: 17
Health condition monitoring and diagnosis of rotating machinery based on Manhattan entropy
Hongchuang Tan, Suchao Xie, Dalian Yang, et al.
Measurement (2024) Vol. 227, pp. 114243-114243
Closed Access | Times Cited: 6
Kernel adapted extreme learning machine for cross-domain fault diagnosis of aero-engines
Bing Li, Shao-Kai Xue, Yu-Hui Fu, et al.
Aerospace Science and Technology (2024) Vol. 146, pp. 108970-108970
Closed Access | Times Cited: 6
Research on fault detection and diagnosis of carbon dioxide heat pump systems in buildings based on transfer learning
Yabin Guo, Yaxin Liu, Zheng Zhang, et al.
Journal of Building Engineering (2024) Vol. 85, pp. 108774-108774
Closed Access | Times Cited: 6
Selective Feature Reinforcement Network for Robust Remote Fault Diagnosis of Wind Turbine Bearing Under Non-Ideal Sensor Data
Jinbiao Tan, Jiafu Wan, Baotong Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 5
Intelligent Joint Actuator Fault Diagnosis for Heavy-duty Industrial Robots
Jianuo Wang, Xudong Wang, Yaonan Wang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 9, pp. 15292-15301
Closed Access | Times Cited: 5
Hypergraph construction using Multi-Sensor for helicopter Tail-Drive system fault diagnosis
Aijun Yin, Zhaoyi Sun, Junlin Zhou
Measurement (2024) Vol. 231, pp. 114586-114586
Closed 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
Rolling bearing remaining useful life prediction using deep learning based on high-quality representation
Chenyang Wang, Wanlu Jiang, Lei Shi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Sensible multiscale symbol dynamic entropy for fault diagnosis of bearing
Hongchuang Tan, Suchao Xie, Hui Zhou, et al.
International Journal of Mechanical Sciences (2023) Vol. 256, pp. 108509-108509
Closed Access | Times Cited: 15
Rotary Machinery Fault Diagnosis Based on Split Attention Mechanism and Graph Convolutional Domain Adaptive Adversarial Network
Haitao Wang, Mingjun Li, Zelin Liu, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 4, pp. 5399-5413
Closed Access | Times Cited: 4
Bearing Fault Diagnosis Based on Local Manifold Discriminant Domain Adaptation
Hongdi Zhou, Tao Huang, Fei Zhong, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 10504-10514
Closed Access | Times Cited: 4
Multi-source domain adaptation using diffusion denoising for bearing fault diagnosis under variable working conditions
Xuefang Xu, Xu Yang, Zijian Qiao, et al.
Knowledge-Based Systems (2024) Vol. 302, pp. 112396-112396
Closed Access | Times Cited: 4
A rolling bearing fault diagnosis method under insufficient samples condition based on MSLSTM transfer learning
Ping Zhang, Debo Liu
Journal of Vibroengineering (2025) Vol. 27, Iss. 1, pp. 93-107
Open Access
An unsupervised domain adaptation method for intelligent fault diagnosis based on target feature enhancement and feature-boundary alignment
Ming Xie, Jianxin Liu, Yifan Li, et al.
Journal of Intelligent Manufacturing (2025)
Closed Access
Correlation feature distribution matching for fault diagnosis of machines
Hongchuang Tan, Suchao Xie, Wen Ma, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 108981-108981
Closed Access | Times Cited: 19
A Dual-View Style Mixing Network for unsupervised cross-domain fault diagnosis with imbalanced data
Zixu Chen, Wennian Yu, Liming Wang, et al.
Knowledge-Based Systems (2023) Vol. 278, pp. 110918-110918
Closed Access | Times Cited: 11
High-Speed Bearing Health Monitoring Method Based on Attention Mechanism Optimized Siamese Deep Residual Network
Jian Duan, Hu Cheng, Hongdi Zhou, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 19, pp. 23191-23200
Closed Access | Times Cited: 11
Adaptive Fusion Transfer Learning-based Digital Multitwin-assised Intelligent Fault Diagnosis
Sizhe Liu, Yongsheng Qi, Liqiang Liu, et al.
Knowledge-Based Systems (2024) Vol. 297, pp. 111923-111923
Closed Access | Times Cited: 3
An adaptive few-shot fault diagnosis method based on virtual samples generated by fault characteristics of rotating machines
Peng Wu, Gongye Yu, Qianqian Yu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 109017-109017
Closed Access | Times Cited: 3
Federated Transfer Learning-Based Distributed Fault Diagnosis Method for Rolling Bearings
Guang Yang, Juan Su, Songhuai Du, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 126111-126111
Closed Access | Times Cited: 3
Page 1 - Next Page

Scroll to top