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:

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

Showing 1-25 of 78 citing articles:

A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges
Weihua Li, Ruyi Huang, Jipu Li, et al.
Mechanical Systems and Signal Processing (2021) Vol. 167, pp. 108487-108487
Open Access | Times Cited: 520
Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang, Cuiling Lan, Chang Liu, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Open Access | Times Cited: 494
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
Physics-Informed Residual Network (PIResNet) for rolling element bearing fault diagnostics
Qing Ni, Jinchen Ji, Benjamin Halkon, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110544-110544
Open Access | Times Cited: 171
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
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
Prior Knowledge-Augmented Self-Supervised Feature Learning for Few-Shot Intelligent Fault Diagnosis of Machines
Tianci Zhang, Jinglong Chen, Shuilong He, et al.
IEEE Transactions on Industrial Electronics (2022) Vol. 69, Iss. 10, pp. 10573-10584
Closed Access | Times Cited: 71
Fault diagnosis in rotating machines based on transfer learning: Literature review
Iqbal Misbah, C.K.M. Lee, K. L. Keung
Knowledge-Based Systems (2023) Vol. 283, pp. 111158-111158
Closed Access | Times Cited: 57
Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer
Yafei Deng, Jun Lv, Delin Huang, et al.
Neurocomputing (2023) Vol. 548, pp. 126391-126391
Closed Access | Times Cited: 55
Deep Mixed Domain Generalization Network for Intelligent Fault Diagnosis Under Unseen Conditions
Zhenhua Fan, Qifa Xu, Cuixia Jiang, et al.
IEEE Transactions on Industrial Electronics (2023) Vol. 71, Iss. 1, pp. 965-974
Closed Access | Times Cited: 51
A novel domain generalization network with multidomain specific auxiliary classifiers for machinery fault diagnosis under unseen working conditions
Rui Wang, Weiguo Huang, Yixiang Lu, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109463-109463
Open Access | Times Cited: 43
Causal Disentanglement Domain Generalization for time-series signal fault diagnosis
Linshan Jia, Tommy W. S. Chow, Yixuan Yuan
Neural Networks (2024) Vol. 172, pp. 106099-106099
Closed Access | Times Cited: 18
A wavelet packet transform-based deep feature transfer learning method for bearing fault diagnosis under different working conditions
Xiao Yu, Zhongting Liang, Youjie Wang, et al.
Measurement (2022) Vol. 201, pp. 111597-111597
Open Access | Times Cited: 64
Domain Transferability-Based Deep Domain Generalization Method Towards Actual Fault Diagnosis Scenarios
Yaowei Shi, Aidong Deng, Minqiang Deng, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 6, pp. 7355-7366
Closed Access | Times Cited: 42
Adaptive multi-scale attention convolution neural network for cross-domain fault diagnosis
Xiaorui Shao, Chang Soo Kim
Expert Systems with Applications (2023) Vol. 236, pp. 121216-121216
Closed Access | Times Cited: 30
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 approach for bearings multiclass fault diagnosis fusing multiscale deep convolution and hybrid attention networks
Fule Li, Xinlong Zhao
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 045017-045017
Closed Access | Times Cited: 8
A Novel Multidomain Contrastive-Coding-Based Open-Set Domain Generalization Framework for Machinery Fault Diagnosis
Biliang Lu, Yingjie Zhang, Qingshuai Sun, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 4, pp. 6369-6381
Closed Access | Times Cited: 8
Hierarchical Multiscale Dense Networks for Intelligent Fault Diagnosis of Electromechanical Systems
Yadong Xu, Xiaoan Yan, Beibei Sun, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Closed Access | Times Cited: 27
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
Harmonic Reducer Fault Detection With Acoustic Emission
Liansheng Liu, Zhuo Zhi, Yufei Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 17
Industrial process fault diagnosis based on feature enhanced meta-learning toward domain generalization scenarios
Yu Gao, Jin Qi, Ying Sun, et al.
Knowledge-Based Systems (2024) Vol. 289, pp. 111506-111506
Closed Access | Times Cited: 6
Rolling Bearing Fault Diagnosis Method Based On Dual Invariant Feature Domain Generalization
Yining Xie, Jiangtao Shi, Cong Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 5
Prior knowledge-augmented unsupervised shapelet learning for unknown abnormal working condition discovery in industrial process
Xiaoxue Wan, Lihui Cen, Xiaofang Chen, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102429-102429
Closed Access | Times Cited: 5
Dynamic Balanced Dual Prototypical Domain Generalization for Cross-Machine Fault Diagnosis
Linshan Jia, Tommy W. S. Chow, Yu Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 5
Page 1 - Next Page

Scroll to top