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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:

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

Showing 1-25 of 140 citing articles:

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
Federated multi-source domain adversarial adaptation framework for machinery fault diagnosis with data privacy
Ke Zhao, Junchen Hu, Haidong Shao, et al.
Reliability Engineering & System Safety (2023) Vol. 236, pp. 109246-109246
Closed Access | Times Cited: 93
Domain augmentation generalization network for real-time fault diagnosis under unseen working conditions
Yaowei Shi, Aidong Deng, Minqiang Deng, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109188-109188
Closed Access | Times Cited: 60
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: 54
A fault diagnosis method of bearings based on deep transfer learning
Min Huang, Jinghan Yin, Shumin Yan, et al.
Simulation Modelling Practice and Theory (2022) Vol. 122, pp. 102659-102659
Open Access | Times Cited: 51
Deep learning and data augmentation based data imputation for structural health monitoring system in multi-sensor damaged state
Jiale Hou, Huachen Jiang, Chunfeng Wan, et al.
Measurement (2022) Vol. 196, pp. 111206-111206
Closed Access | Times Cited: 46
An Adaptive Activation Transfer Learning Approach for Fault Diagnosis
Yongyi Chen, Dan Zhang, Kunpeng Zhu, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 28, Iss. 5, pp. 2645-2656
Closed Access | Times Cited: 32
Early rolling bearing fault diagnosis in induction motors based on on-rotor sensing vibrations
Zuolu Wang, Dawei Shi, Yuandong Xu, et al.
Measurement (2023) Vol. 222, pp. 113614-113614
Open Access | Times Cited: 30
Multi-source information joint transfer diagnosis for rolling bearing with unknown faults via wavelet transform and an improved domain adaptation network
Pengfei Liang, Jiaye Tian, Suiyan Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109788-109788
Closed Access | Times Cited: 29
Few-Shot Fault Diagnosis Method of Rotating Machinery Using Novel MCGM Based CNN
Gongye Yu, Peng Wu, Zhe Lv, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 11, pp. 10944-10955
Closed Access | Times Cited: 27
Domain Adaptation Networks With Parameter-Free Adaptively Rectified Linear Units for Fault Diagnosis Under Variable Operating Conditions
Yongyi Chen, Dan Zhang, Ruqiang Yan
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 11, pp. 16872-16885
Closed Access | Times Cited: 24
A unified out-of-distribution detection framework for trustworthy prognostics and health management in renewable energy systems
Wenzhen Xie, Te Han, Zhongyi Pei, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106707-106707
Closed Access | Times Cited: 23
A two-stage domain alignment method for multi-source domain fault diagnosis
Wei Cao, Zong Meng, Dengyun Sun, et al.
Measurement (2023) Vol. 214, pp. 112818-112818
Closed Access | Times Cited: 22
A multi-fault diagnostic method based on category-reinforced domain adaptation network for series-connected battery packs
Linhui Cai, Han Wang, Zhekang Dong, et al.
Journal of Energy Storage (2023) Vol. 60, pp. 106690-106690
Closed Access | Times Cited: 21
An efficient approach based on a novel 1D-LBP for the detection of bearing failures with a hybrid deep learning method
Yılmaz Kaya, Melih Kuncan, Eyyüp Akcan, et al.
Applied Soft Computing (2024) Vol. 155, pp. 111438-111438
Closed Access | Times Cited: 12
ReF-DDPM: A novel DDPM-based data augmentation method for imbalanced rolling bearing fault diagnosis
Yu Tian, Chaoshun Li, Jie Huang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110343-110343
Closed Access | Times Cited: 12
A gradient aligned domain adversarial network for unsupervised intelligent fault diagnosis of gearboxes
Maoqi Ran, Baoping Tang, Peng Sun, et al.
ISA Transactions (2024) Vol. 148, pp. 461-476
Closed Access | Times Cited: 7
A novel Brownian correlation metric prototypical network for rotating machinery fault diagnosis with few and zero shot learners
Jingli Yang, Changdong Wang, Changan Wei
Advanced Engineering Informatics (2022) Vol. 54, pp. 101815-101815
Closed Access | Times Cited: 30
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
Source-free domain adaptation framework for fault diagnosis of rotation machinery under data privacy
Qikang Li, Baoping Tang, Lei Deng, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109468-109468
Closed Access | Times Cited: 19
Research on Digital Twin Driven Rolling Bearing Model-Data Fusion Life Prediction Method
Wentao Zhao, Chao Zhang, Jianguo Wang, et al.
IEEE Access (2023) Vol. 11, pp. 48611-48627
Open Access | Times Cited: 16
Dual Weighted-Class Adversarial Network for Rotary Machine Fault Diagnosis Using Multisource Domain with Class-Inconsistent Data
Shengkang Yang, Boyang Lei, Qibin Wang, et al.
IEEE/ASME Transactions on Mechatronics (2024) Vol. 29, Iss. 5, pp. 3473-3484
Closed Access | Times Cited: 6
An autonomous recognition framework based on reinforced adversarial open set algorithm for compound fault of mechanical equipment
Zisheng Wang, Jianping Xuan, Tielin Shi
Mechanical Systems and Signal Processing (2024) Vol. 219, pp. 111596-111596
Closed Access | Times Cited: 6
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
Domain-specific adaptation network for inverter fault diagnosis: Knowledge transfer from simulation to physical domain
Qun Guo, Gang Li, Jun Lin
Measurement (2024) Vol. 227, pp. 114299-114299
Closed Access | Times Cited: 5
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