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:

Cross-Domain Fault Diagnosis Using Knowledge Transfer Strategy: A Review
Huailiang Zheng, Rixin Wang, Yuantao Yang, et al.
IEEE Access (2019) Vol. 7, pp. 129260-129290
Open Access | Times Cited: 163

Showing 1-25 of 163 citing articles:

Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
Zhibin Zhao, Tianfu Li, Jingyao Wu, et al.
ISA Transactions (2020) Vol. 107, pp. 224-255
Open Access | Times Cited: 425
Mapping single-cell data to reference atlases by transfer learning
Mohammad Lotfollahi, Mohsen Naghipourfar, Malte D. Luecken, et al.
Nature Biotechnology (2021) Vol. 40, Iss. 1, pp. 121-130
Open Access | Times Cited: 375
Bearing Fault Detection and Diagnosis Using Case Western Reserve University Dataset With Deep Learning Approaches: A Review
Dhiraj Neupane, Jongwon Seok
IEEE Access (2020) Vol. 8, pp. 93155-93178
Open Access | Times Cited: 369
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study
Zhibin Zhao, Qiyang Zhang, Xiaolei Yu, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-28
Open Access | Times Cited: 325
Computational principles and challenges in single-cell data integration
Ricard Argelaguet, Anna Cuomo, Oliver Stegle, et al.
Nature Biotechnology (2021) Vol. 39, Iss. 10, pp. 1202-1215
Closed Access | Times Cited: 319
A review of the application of deep learning in intelligent fault diagnosis of rotating machinery
Zhiqin Zhu, Yangbo Lei, Guanqiu Qi, et al.
Measurement (2022) Vol. 206, pp. 112346-112346
Closed Access | Times Cited: 281
Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016
Xiaohan Chen, Rui Yang, Yihao Xue, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-21
Open Access | Times Cited: 185
Deep Learning-Based Partial Domain Adaptation Method on Intelligent Machinery Fault Diagnostics
Xiang Li, Zhang We
IEEE Transactions on Industrial Electronics (2020) Vol. 68, Iss. 5, pp. 4351-4361
Closed Access | Times Cited: 169
Transferable convolutional neural network based remaining useful life prediction of bearing under multiple failure behaviors
Han Cheng, Xianguang Kong, Gaige Chen, et al.
Measurement (2020) Vol. 168, pp. 108286-108286
Closed Access | Times Cited: 166
Meta-learning as a promising approach for few-shot cross-domain fault diagnosis: Algorithms, applications, and prospects
Yong Feng, Jinglong Chen, Jingsong Xie, et al.
Knowledge-Based Systems (2021) Vol. 235, pp. 107646-107646
Closed Access | Times Cited: 164
Condition Monitoring Based on Partial Discharge Diagnostics Using Machine Learning Methods: A Comprehensive State-of-the-Art Review
Shibo Lu, Hua Chai, Animesh Sahoo, et al.
IEEE Transactions on Dielectrics and Electrical Insulation (2020) Vol. 27, Iss. 6, pp. 1861-1888
Closed Access | Times Cited: 158
A new dynamic model and transfer learning based intelligent fault diagnosis framework for rolling element bearings race faults: Solving the small sample problem
Yunjia Dong, Yuqing Li, Huailiang Zheng, et al.
ISA Transactions (2021) Vol. 121, pp. 327-348
Closed Access | Times Cited: 149
A novel deep convolution multi-adversarial domain adaptation model for rolling bearing fault diagnosis
Lanjun Wan, Yuanyuan Li, Keyu Chen, et al.
Measurement (2022) Vol. 191, pp. 110752-110752
Closed Access | Times Cited: 140
Deep multi-scale convolutional transfer learning network: A novel method for intelligent fault diagnosis of rolling bearings under variable working conditions and domains
Bo Zhao, Xianmin Zhang, Zhenhui Zhan, et al.
Neurocomputing (2020) Vol. 407, pp. 24-38
Closed Access | Times Cited: 139
Adversarial Domain-Invariant Generalization: A Generic Domain-Regressive Framework for Bearing Fault Diagnosis Under Unseen Conditions
Liang Chen, Qi Li, Changqing Shen, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 3, pp. 1790-1800
Open Access | Times Cited: 135
A multi-source information transfer learning method with subdomain adaptation for cross-domain fault diagnosis
Jinghui Tian, Dongying Han, Mengdi Li, et al.
Knowledge-Based Systems (2022) Vol. 243, pp. 108466-108466
Closed Access | Times Cited: 113
A Review of Data-Driven Machinery Fault Diagnosis Using Machine Learning Algorithms
Jian Cen, Zhuohong Yang, Xi Liu, et al.
Journal of Vibration Engineering & Technologies (2022) Vol. 10, Iss. 7, pp. 2481-2507
Closed Access | Times Cited: 87
Domain generalization for cross-domain fault diagnosis: An application-oriented perspective and a benchmark study
Chao Zhao, Enrico Zio, Weiming Shen
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109964-109964
Closed Access | Times Cited: 72
A deep multi-signal fusion adversarial model based transfer learning and residual network for axial piston pump fault diagnosis
You He, Hesheng Tang, Yan Ren, et al.
Measurement (2022) Vol. 192, pp. 110889-110889
Closed Access | Times Cited: 69
A Systematic Literature Review on Transfer Learning for Predictive Maintenance in Industry 4.0
Mehdi Saman Azari, Francesco Flammini, Stefania Santini, et al.
IEEE Access (2023) Vol. 11, pp. 12887-12910
Open Access | Times Cited: 40
Similarity-based meta-learning network with adversarial domain adaptation for cross-domain fault identification
Yong Feng, Jinglong Chen, Zhuozheng Yang, et al.
Knowledge-Based Systems (2021) Vol. 217, pp. 106829-106829
Closed Access | Times Cited: 80
Deep multi-scale adversarial network with attention: A novel domain adaptation method for intelligent fault diagnosis
Bo Zhao, Xianmin Zhang, Zhenhui Zhan, et al.
Journal of Manufacturing Systems (2021) Vol. 59, pp. 565-576
Closed Access | Times Cited: 80
Deep Domain Generalization Combining A Priori Diagnosis Knowledge Toward Cross-Domain Fault Diagnosis of Rolling Bearing
Huailiang Zheng, Yuantao Yang, Jiancheng Yin, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-11
Closed Access | Times Cited: 78
Transfer learning for remaining useful life prediction based on consensus self-organizing models
Yuantao Fan, Sławomir Nowaczyk, Thorsteinn Rögnvaldsson
Reliability Engineering & System Safety (2020) Vol. 203, pp. 107098-107098
Open Access | Times Cited: 72
Prognostics and Health Management of Industrial Assets: Current Progress and Road Ahead
Luca Biggio, Iason Kastanis
Frontiers in Artificial Intelligence (2020) Vol. 3
Open Access | Times Cited: 69
Page 1 - Next Page

Scroll to top