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:

A novel method based on meta-learning for bearing fault diagnosis with small sample learning under different working conditions
Hao Su, Ling Xiang, Aijun Hu, et al.
Mechanical Systems and Signal Processing (2022) Vol. 169, pp. 108765-108765
Closed Access | Times Cited: 164

Showing 26-50 of 164 citing articles:

A personalized federated meta-learning method for intelligent and privacy-preserving fault diagnosis
Xiangjie Zhang, Chuanjiang Li, Changkun Han, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102781-102781
Closed Access | Times Cited: 10

A novel method for rotor fault diagnosis based on deep transfer learning with simulated samples
Ling Xiang, Xingyu Zhang, Zhang Yue, et al.
Measurement (2022) Vol. 207, pp. 112350-112350
Closed Access | Times Cited: 34

An Intelligent Fault Diagnosis Method of Small Sample Bearing Based on Improved Auxiliary Classification Generative Adversarial Network
Zong Meng, Qian Li, Dengyun Sun, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 20, pp. 19543-19555
Closed Access | Times Cited: 33

Few-shot fault diagnosis of rolling bearing under variable working conditions based on ensemble meta-learning
Changchang Che, Huawei Wang, Minglan Xiong, et al.
Digital Signal Processing (2022) Vol. 131, pp. 103777-103777
Closed Access | Times Cited: 33

Data Regeneration Based on Multiple Degradation Processes for Remaining Useful Life Estimation
Ningning Yang, Zhijian Wang, Wenan Cai, et al.
Reliability Engineering & System Safety (2022) Vol. 229, pp. 108867-108867
Closed Access | Times Cited: 31

A meta network pruning framework for remaining useful life prediction of rocket engine bearings with temporal distribution discrepancy
Tongyang Pan, Sui Zhang, Fudong Li, et al.
Mechanical Systems and Signal Processing (2023) Vol. 195, pp. 110271-110271
Closed Access | Times Cited: 21

A Novel Convolution Network Based on Temporal Attention Fusion Mechanism for Remaining Useful Life Prediction of Rolling Bearings
Zong Meng, Bo Xu, Lixiao Cao, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 4, pp. 3990-3999
Closed Access | Times Cited: 18

Industrial Edge Intelligence: Federated-Meta Learning Framework for Few-Shot Fault Diagnosis
Jiao Chen, Jianhua Tang, Weihua Li
IEEE Transactions on Network Science and Engineering (2023), pp. 1-13
Closed Access | Times Cited: 17

A novel coupled array of multi-stable stochastic resonance under asymmetric trichotomous noise and its application in rolling bearing compound fault diagnosis
Zong Meng, Shuhan Quan, Jimeng Li, et al.
Applied Acoustics (2023) Vol. 209, pp. 109405-109405
Closed Access | Times Cited: 16

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

TSoft-Net: A novel transfer soft thresholding network based on self-attention for intelligent fault diagnosis of rotating machinery
Shihang Yu, Shanchen Pang, Limei Song, et al.
Measurement (2024) Vol. 227, pp. 114237-114237
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

A novel diagnostic framework based on vibration image encoding and multi-scale neural network
Yang Guan, Zong Meng, Jimeng Li, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 124054-124054
Closed Access | Times Cited: 5

Multi-source domain adaptive network based on local kernelized higher-order moment matching for rotating machinery fault diagnosis
Ying Zhang, Jingjing Fan, Zong Meng, et al.
ISA Transactions (2024) Vol. 150, pp. 311-321
Closed Access | Times Cited: 5

Transfer Learning for Prognostics and Health Management: Advances, Challenges, and Opportunities
Ruqiang Yan, Weihua Li, Siliang Lu, et al.
Journal of Dynamics Monitoring and Diagnostics (2024)
Open Access | Times Cited: 5

Digital twin-assisted interpretable transfer learning: A novel wavelet-based framework for intelligent fault diagnostics from simulated domain to real industrial domain
Sheng Li, Qiubo Jiang, Yadong Xu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102681-102681
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

A robust bearing fault diagnosis method based on ensemble learning with adaptive weight selection
Guanghua Fu, X.Z. Wang, Yonghui Liu, et al.
Expert Systems with Applications (2025) Vol. 269, pp. 126420-126420
Closed Access

A novel sliding mixing graph contrastive domain adaptation method for fault diagnosis under time-varying speeds
Kai Chen, Zong Meng, Dengyun Sun, et al.
Expert Systems with Applications (2025), pp. 126576-126576
Closed Access

A meta-learning method based on meta-feature enhancement for bearing fault identification under few-sample conditions
Xianze Li, Guopeng Zhu, Aijun Hu, et al.
Mechanical Systems and Signal Processing (2025) Vol. 226, pp. 112370-112370
Closed Access

A Systematic Review on Advancement of Image Segmentation Techniques for Fault Detection Opportunities and Challenges
Md. Motiur Rahman, Saeka Rahman, Smriti Bhatt, et al.
Electronics (2025) Vol. 14, Iss. 5, pp. 974-974
Open Access

A Cross-Domain Online Diagnosis Framework Under Small Fault Sample
Zhiyu Chen, Dongdong Zhang, Zuoyi Chen, et al.
(2025)
Closed Access

A new data fusion driven-sparse representation learning method for bearing intelligent diagnosis in small and unbalanced samples
Yike Zhao, Xin Zhang, Jiaxu Wang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105513-105513
Closed Access | Times Cited: 27

Multi-source information fusion meta-learning network with convolutional block attention module for bearing fault diagnosis under limited dataset
Shanshan Song, Shuqing Zhang, Wei Dong, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 2, pp. 818-835
Closed Access | Times Cited: 15

Scroll to top