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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:

Self-Supervised Metalearning Generative Adversarial Network for Few-Shot Fault Diagnosis of Hoisting System With Limited Data
Yang Li, Feiyun Xu, Chi-Guhn Lee
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 3, pp. 2474-2484
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

High imbalance fault diagnosis of aviation hydraulic pump based on data augmentation via local wavelet similarity fusion
Song Fu, Lin Lin, Yue Wang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111115-111115
Closed Access | Times Cited: 17
Remaining useful life prediction of bearings using multi-source adversarial online regression under online unknown conditions
Jichao Zhuang, Yudong Cao, Minping Jia, et al.
Expert Systems with Applications (2023) Vol. 227, pp. 120276-120276
Closed Access | Times Cited: 22
Cross-Supervised multisource prototypical network: A novel domain adaptation method for multi-source few-shot fault diagnosis
Xiao Zhang, Weiguo Huang, Chuancang Ding, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102538-102538
Closed Access | Times Cited: 12
A novel semi-supervised prototype network with two-stream wavelet scattering convolutional encoder for TBM main bearing few-shot fault diagnosis
Xingchen Fu, Jianfeng Tao, Keming Jiao, et al.
Knowledge-Based Systems (2024) Vol. 286, pp. 111408-111408
Closed Access | Times Cited: 9
From data to insight, enhancing structural health monitoring using physics-informed machine learning and advanced data collection methods
Syed Haider Mehdi Rizvi, Muntazir Abbas
Engineering Research Express (2023) Vol. 5, Iss. 3, pp. 032003-032003
Open Access | Times Cited: 17
Cross-Domain Compound Fault Diagnosis of Machine-Level Motors via Time–Frequency Self-Contrastive Learning
Yiming He, Chao Zhao, Weiming Shen
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 7, pp. 9692-9701
Closed Access | Times Cited: 5
Few-Shot Graph Anomaly Detection via Dual-Level Knowledge Distillation
Xuan Li, Defu Cheng, L H Zhang, et al.
Entropy (2025) Vol. 27, Iss. 1, pp. 28-28
Open Access
Image Synthesis Under Limited Data: A Survey and Taxonomy
Mengping Yang, Zhe Wang
International Journal of Computer Vision (2025)
Closed Access
Non-parametric semi-supervised chiller fault diagnosis via variational compressor under severe few labeled samples
Huazheng Han, Xuejin Gao, Huayun Han, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110233-110233
Closed Access
Towards Generalizable Phm: An Interpretable Liquid Operators-Informed Selective State Space Model for Cross-Scenario Prognostic Applications
DENG WEIKUN, Khanh T.P. Nguyen, Christian Gogu, et al.
(2025)
Closed Access
Fault diagnosis of batch processes for small samples based on contrastive learning
Jingyun Xu, Zongyu Yao, Qingchao Jiang
The Canadian Journal of Chemical Engineering (2025)
Closed Access
Multi-stage distribution correction: A promising data augmentation method for few-shot fault diagnosis
Xiao Zhang, Weiguo Huang, Rui Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106477-106477
Closed Access | Times Cited: 15
A prior knowledge-enhanced self-supervised learning framework using time-frequency invariance for machinery intelligent fault diagnosis with small samples
Jian Tang, Jiawei Xiao, Wentao Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108503-108503
Closed Access | Times Cited: 4
A Fault Diagnostic Approach for Underwater Thrusters Based on Generative Adversarial Network
Zhenzhong Chu, Zhenhao Gu, Yunsai Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access | Times Cited: 4
Convolutional sparse filter with data and mechanism fusion: A few-shot fault diagnosis method for power transformer
Jia Qin, Dongsheng Yang, Nan Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106606-106606
Closed Access | Times Cited: 9
A Novel Cross-Domain Data Augmentation and Bearing Fault Diagnosis Method Based on an Enhanced Generative Model
Shilong Sun, Hao Ding, Haodong Huang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-9
Closed Access | Times Cited: 2
GAN-Based Multi-Task Learning Approach for Prognostics and Health Management of IIoT
Sourajit Behera, Rajiv Misra, Alberto Sillitti
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 3, pp. 2742-2762
Closed Access | Times Cited: 7
Densely connected semi-Bayesian network for machinery fault diagnosis with non-ideal data
W.Y. Liu, Jianbo Yu
Mechanical Systems and Signal Processing (2023) Vol. 202, pp. 110678-110678
Closed Access | Times Cited: 7
Enhancing prognostics for sparse labeled data using advanced contrastive self-supervised learning with downstream integration
Weikun Deng, Khanh T.P. Nguyen, Christian Gogu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109268-109268
Closed Access | Times Cited: 2
Few-shot sample multi-class incremental fault diagnosis for gearbox based on convolutional-attention fusion network
Zhen Guo, Wenliao Du, Zhiping Liu, et al.
Expert Systems with Applications (2024), pp. 125918-125918
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
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
Unified feature learning network for few-shot fault diagnosis
Yan Xu, Xinyao Ma, Xuan Wang, et al.
Neurocomputing (2024) Vol. 598, pp. 128035-128035
Closed Access | Times Cited: 1
Review of imbalanced fault diagnosis technology based on generative adversarial networks
Hualin Chen, Jianan Wei, Haisong Huang, et al.
Journal of Computational Design and Engineering (2024) Vol. 11, Iss. 5, pp. 99-124
Open Access | Times Cited: 1
Intelligent fault diagnosis of storage stacking machinery under variable working conditions using attention-based adaptive multimodal feature fusion networks
Xiangyin Meng, Yang Li, Xinxin Xie, et al.
Structural Health Monitoring (2024) Vol. 23, Iss. 6, pp. 3465-3485
Closed Access
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