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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 cross-domain fault diagnosis method based on model agnostic meta-learning
Tianyuan Yang, Tang Tang, Jingwei Wang, et al.
Measurement (2022) Vol. 199, pp. 111564-111564
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Few-shot fault diagnosis of turnout switch machine based on semi-supervised weighted prototypical network
Zhenpeng Lao, Deqiang He, Zhenzhen Jin, et al.
Knowledge-Based Systems (2023) Vol. 274, pp. 110634-110634
Closed Access | Times Cited: 48
Transformer-based meta learning method for bearing fault identification under multiple small sample conditions
Xianze Li, Hao Su, Ling Xiang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 110967-110967
Closed Access | Times Cited: 25
Lightweight Convolutional Transformers Enhanced Meta-Learning for Compound Fault Diagnosis of Industrial Robot
Chong Chen, Tao Wang, Chao Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Open Access | Times Cited: 22
Role of image feature enhancement in intelligent fault diagnosis for mechanical equipment: A review
Yongjian Sun, Wei Wang
Engineering Failure Analysis (2023) Vol. 156, pp. 107815-107815
Closed Access | Times Cited: 16
Differential contrast guidance for aeroengine fault diagnosis with limited data
Wenhui He, Lin Lin, Song Fu, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 6
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
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
Improved metric-based meta learning with attention mechanism for few-shot cross-domain train bearing fault diagnosis
Hao Zhong, Deqiang He, Zhenpeng Lao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 075101-075101
Closed Access | Times Cited: 4
A novel meta-transfer learning approach via convolutional multi-head self-attention network for few-shot fault diagnosis
Lanjun Wan, Le Huang, Jiaen Ning, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112113-112113
Closed Access | Times Cited: 4
Few-shot fault diagnosis of switch machine based on data fusion and balanced regularized prototypical network
Zhenpeng Lao, Deqiang He, Haimeng Sun, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108847-108847
Closed Access | Times Cited: 4
Few-shot bearing fault diagnosis by semi-supervised meta-learning with graph convolutional neural network under variable working conditions
Zhen Liu, Zhenrui Peng
Measurement (2024) Vol. 240, pp. 115402-115402
Closed Access | Times Cited: 4
Intelligent Prediction of Rate of Penetration through Meta-Learning and Data Augmentation Synergy under Limited Sample
Zhengchao Ma, Jintao Weng, Junkai Zhang, et al.
Geoenergy Science and Engineering (2025), pp. 213818-213818
Closed Access
Few-shot structural repair decision of civil aircraft based on deep meta-learning
Changchang Che, Huawei Wang, Xiaomei Ni, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106695-106695
Closed Access | Times Cited: 11
Prior knowledge-based residuals shrinkage prototype networks for cross-domain fault diagnosis
Junwei Hu, Weigang Li, Xiujuan Zheng, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 10, pp. 105011-105011
Closed Access | Times Cited: 10
Adversarial training of multi-scale channel attention network for enhanced robustness in bearing fault diagnosis
Haotian Peng, Jinsong Du, Jie Gao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056204-056204
Closed Access | Times Cited: 3
Multiple Scale Convolutional Few-Shot Learning Networks for Online P300-Based Brain–Computer Interface and Its Application to Patients With Disorder of Consciousness
Jiahui Pan, Honghua Cai, Haiyun Huang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-16
Closed Access | Times Cited: 9
Learning to generalize with latent embedding optimization for few- and zero-shot cross domain fault diagnosis
Chuanhang Qiu, Tang Tang, Tianyuan Yang, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124280-124280
Closed Access | Times Cited: 3
Research on a small sample feature transfer method for fault diagnosis of reciprocating compressors
Yang Tang, Xiao Xiao, Xin Yang, et al.
Journal of Loss Prevention in the Process Industries (2023) Vol. 85, pp. 105163-105163
Closed Access | Times Cited: 7
Novel cross-domain fault diagnosis method based on model-agnostic meta-learning embedded in adaptive threshold network
Chenglong Ye, Jinxi Wang, Chang Peng, et al.
Measurement (2023) Vol. 222, pp. 113677-113677
Closed Access | Times Cited: 7
A novel meta‐learning network for partial discharge source localization in gas‐insulated switchgear via digital twin
Jing Yan, Yanxin Wang, Zhou Yang, et al.
IET Generation Transmission & Distribution (2024) Vol. 18, Iss. 9, pp. 1785-1794
Open Access | Times Cited: 2
Relation Awareness Network for Few-Shot Fine-Grained Fault Diagnosis
Yan Xu, Xinyao Ma, Xuan Wang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 13, pp. 20949-20958
Closed Access | Times Cited: 2
Novel Meta-Learning for Few-Shot Bearing Fault Diagnosis Under Varying Working Conditions
Chuanhao Wang, Jigang Peng, Yongjian Sun
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035239-035239
Closed Access | Times Cited: 2
Prototype matching-based meta-learning model for few-shot fault diagnosis of mechanical system
Lin Lin, Sihao Zhang, Song Fu, et al.
Neurocomputing (2024), pp. 129012-129012
Closed Access | Times Cited: 2
KMSA-Net: A Knowledge-Mining-Based Semantic-Aware Network for Cross-Domain Industrial Process Fault Diagnosis
Lei Wang, Jinhai Liu, Huaguang Zhang, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 2738-2750
Closed Access | Times Cited: 6
Dual prototypical contrastive network: a novel self-supervised method for cross-domain few-shot fault diagnosis
Xiao Zhang, Weiguo Huang, Rui Wang, et al.
Journal of Intelligent Manufacturing (2023)
Closed Access | Times Cited: 6
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