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OpenAlex Citation Counts

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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:

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

Showing 1-25 of 164 citing articles:

Few shot cross equipment fault diagnosis method based on parameter optimization and feature mertic
Hongfeng Tao, Long Cheng, Jier Qiu, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 11, pp. 115005-115005
Closed Access | Times Cited: 136
Generalized MAML for few-shot cross-domain fault diagnosis of bearing driven by heterogeneous signals
Jian Lin, Haidong Shao, Xiangdong Zhou, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120696-120696
Open Access | Times Cited: 118
Attention-based deep meta-transfer learning for few-shot fine-grained fault diagnosis
Chuanjiang Li, Shaobo Li, Huan Wang, et al.
Knowledge-Based Systems (2023) Vol. 264, pp. 110345-110345
Open Access | Times Cited: 107
Meta-learning with elastic prototypical network for fault transfer diagnosis of bearings under unstable speeds
Jingjie Luo, Haidong Shao, Jian Lin, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110001-110001
Closed Access | Times Cited: 89
Meta-learning approaches for learning-to-learn in deep learning: A survey
Yingjie Tian, Xiaoxi Zhao, Wei Huang
Neurocomputing (2022) Vol. 494, pp. 203-223
Closed Access | Times Cited: 79
Few-Shot Cross-Domain Fault Diagnosis of Bearing Driven by Task-Supervised ANIL
Haidong Shao, Xiangdong Zhou, Jian Lin, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 22892-22902
Closed Access | Times Cited: 70
Battery safety: Machine learning-based prognostics
Jingyuan Zhao, Xuning Feng, Quanquan Pang, et al.
Progress in Energy and Combustion Science (2024) Vol. 102, pp. 101142-101142
Open Access | Times Cited: 53
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
Reviewing Federated Learning Aggregation Algorithms; Strategies, Contributions, Limitations and Future Perspectives
Mohammad Moshawrab, Mehdi Adda, Abdenour Bouzouane, et al.
Electronics (2023) Vol. 12, Iss. 10, pp. 2287-2287
Open Access | Times Cited: 42
An information fusion-based meta transfer learning method for few-shot fault diagnosis under varying operating conditions
Cuiying Lin, Yun Kong, Qinkai Han, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111652-111652
Closed Access | Times Cited: 17
Application of deep learning to fault diagnosis of rotating machineries
Hao Su, Ling Xiang, Aijun Hu
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 042003-042003
Open Access | Times Cited: 15
A Novel Transformer-based Few-Shot Learning Method for Intelligent Fault Diagnosis with Noisy Labels under Varying Working Conditions
Haoyu Wang, Chuanjiang Li, Peng Ding, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110400-110400
Closed Access | Times Cited: 14
Cross-domain fault diagnosis of bearing using improved semi-supervised meta-learning towards interference of out-of-distribution samples
Jian Lin, Haidong Shao, Zhishan Min, et al.
Knowledge-Based Systems (2022) Vol. 252, pp. 109493-109493
Closed Access | Times Cited: 52
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
Diagnosis of arrhythmias with few abnormal ECG samples using metric-based meta learning
Zhenxing Liu, Yujie Chen, Yong Zhang, et al.
Computers in Biology and Medicine (2022) Vol. 153, pp. 106465-106465
Closed Access | Times Cited: 37
Semi-supervised learning for industrial fault detection and diagnosis: A systemic review
José Miguel Ramírez‐Sanz, Jose-Alberto Maestro-Prieto, Álvar Arnaiz‐González, et al.
ISA Transactions (2023) Vol. 143, pp. 255-270
Open Access | Times Cited: 36
One-stage self-supervised momentum contrastive learning network for open-set cross-domain fault diagnosis
Weicheng Wang, Chao Li, Aimin Li, et al.
Knowledge-Based Systems (2023) Vol. 275, pp. 110692-110692
Closed Access | Times Cited: 34
Research on the generalisation method of diesel engine exhaust valve leakage fault diagnosis based on acoustic emission
Jia Hu, Yonghua Yu, Jianguo Yang, et al.
Measurement (2023) Vol. 210, pp. 112560-112560
Closed Access | Times Cited: 28
Domain adaptation meta-learning network with discard-supplement module for few-shot cross-domain rotating machinery fault diagnosis
Yu Zhang, Dongying Han, Jinghui Tian, et al.
Knowledge-Based Systems (2023) Vol. 268, pp. 110484-110484
Closed Access | Times Cited: 28
Fault detection in wind turbine generators using a meta-learning-based convolutional neural network
Likui Qiao, Yuxian Zhang, Qisen Wang
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110528-110528
Closed Access | Times Cited: 28
Domain Discrepancy-Guided Contrastive Feature Learning for Few-Shot Industrial Fault Diagnosis Under Variable Working Conditions
Tianci Zhang, Jinglong Chen, Shen Liu, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 10, pp. 10277-10287
Closed Access | Times Cited: 26
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: 24
A new meta-transfer learning method with freezing operation for few-shot bearing fault diagnosis
Peiqi Wang, Jingde Li, Shubei Wang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 7, pp. 074005-074005
Closed Access | Times Cited: 21
Graph structure few-shot prognostics for machinery remaining useful life prediction under variable operating conditions
Peng Ding, Jun Xia, Xiaoli Zhao, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102360-102360
Closed Access | Times Cited: 13
Deep continuous convolutional networks for fault diagnosis
Xufeng Huang, Tingli Xie, Jinhong Wu, et al.
Knowledge-Based Systems (2024) Vol. 292, pp. 111623-111623
Closed Access | Times Cited: 13
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