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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:

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

Showing 1-25 of 27 citing articles:

Explicit speed-integrated LSTM network for non-stationary gearbox vibration representation and fault detection under varying speed conditions
Yuejian Chen, Xuemei Liu, Meng Rao, et al.
Reliability Engineering & System Safety (2024), pp. 110596-110596
Closed Access | Times Cited: 16
Rotating Machinery Fault Diagnosis with Limited Multisensor Fusion Samples by Fused Attention-Guided Wasserstein GAN
Wenlong Fu, Ke Yang, Bin Wen, et al.
Symmetry (2024) Vol. 16, Iss. 3, pp. 285-285
Open Access | Times Cited: 11
Wind Turbine Fault Diagnosis for Class-Imbalance and Small-Size Data Based on Stacked Capsule Autoencoder
Xianbo Wang, Hao Chen, Jing Zhao, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 11, pp. 12694-12704
Closed Access | Times Cited: 7
Rotating machinery fault diagnosis method based on multi-level fusion framework of multi-sensor information
Xiangqu Xiao, Chaoshun Li, Hongxiang He, et al.
Information Fusion (2024) Vol. 113, pp. 102621-102621
Closed Access | Times Cited: 6
Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments
Ali Saeed, Muazzam A. Khan, Usman Akram, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Cross-domain fault diagnosis of induction motor based on an improved unsupervised generative adversarial network and fine-tuning under limited labeled data
Xin Chen, Zaigang Chen
Measurement (2025), pp. 116988-116988
Closed Access
Deep feature extraction and fault diagnosis of solenoid valves in propulsion systems based on temporal-attention GraphLSTM model
Feifan Shen, Jiayang Wu, Jiansong He, et al.
Measurement and Control (2025)
Open Access
Frequency-assisted Contrastive Learning with Cyclic Fine-tuning for Rotating Machinery Fault Diagnosis under Limited Labeled Data
Xinyu Li, Changming Cheng, Zhike Peng
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-11
Closed Access
An adaptive imbalance modified online broad learning system-based fault diagnosis for imbalanced chemical process data stream
Jinkun Men, C.M. Zhao
Expert Systems with Applications (2023) Vol. 234, pp. 121159-121159
Closed Access | Times Cited: 14
A physics-based sample generation method for few-shot bearing condition monitoring
Zepeng Ma, Lei Fu, Fang Xu, et al.
Knowledge-Based Systems (2025), pp. 112952-112952
Closed Access
A mechanism-based sample generation method utilizing morphological analysis and dynamic modeling for online monitoring of rotor systems
Zepeng Ma, Lei Fu, Dapeng Tan, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112438-112438
Closed Access
Multilevel feature encoder for transfer learning-based fault detection on acoustic signal
Dezheng Wang, Congyan Chen
Information Fusion (2025), pp. 103128-103128
Closed Access
An adaptive few-shot fault diagnosis method based on virtual samples generated by fault characteristics of rotating machines
Peng Wu, Gongye Yu, Qianqian Yu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 109017-109017
Closed Access | Times Cited: 3
ANC-Net: A novel multi-scale active noise cancellation network for rotating machinery fault diagnosis based on discrete wavelet transform
Shihang Yu, Shanchen Pang, J. Ning, et al.
Expert Systems with Applications (2024), pp. 125937-125937
Closed Access | Times Cited: 3
Fault Diagnosis of Harmonic Drives Using Multimodal Collaborative Meta Network With Severely Missing Modality
Guo Yang, Hui Tao, Kai Wu, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 8, pp. 10366-10374
Closed Access | Times Cited: 2
Research on Key Technology of Wind Turbine Drive Train Fault Diagnosis System Based on Digital Twin
Han Liu, Wenlei Sun, Shenghui Bao, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 5991-5991
Open Access | Times Cited: 2
Recursive prototypical network with coordinate attention: A model for few-shot cross-condition bearing fault diagnosis
Yonghua Jiang, Zengjie Qiu, Linjie Zheng, et al.
Applied Acoustics (2024) Vol. 231, pp. 110442-110442
Closed Access | Times Cited: 2
A fault diagnosis method of battery internal short circuit based on multi-feature recognition
Siwen Chen, Jinlei Sun, Yong Tang, et al.
Transactions of the Institute of Measurement and Control (2024) Vol. 46, Iss. 11, pp. 2186-2197
Closed Access | Times Cited: 1
A Physical-Feature Interactive Expansion-Based Fault Diagnosis Method With Applications to Marine Current Turbines
Tao Xie, Weidong Zhang, Yufei Tang, et al.
IEEE Transactions on Industrial Electronics (2023) Vol. 71, Iss. 8, pp. 9677-9686
Closed Access | Times Cited: 4
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
Ali Saeed Khan
(2024)
Closed Access
Cloud Regularized Stochastic Configuration Network for Few-shot Fault Diagnosis of Process Industries
Xiaoqi Wang, Jiang Liu, Lanhao Wang, et al.
2022 34th Chinese Control and Decision Conference (CCDC) (2024), pp. 70-75
Closed Access
Deep Learning based Approaches for Intelligent Industrial Machinery Health Management & Fault Diagnosis in Resource-Constrained Environments
Ali Saeed Khan, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Research Square (Research Square) (2024)
Open Access
Fault Diagnosis of Tractor Transmission System Based on Time GAN and Transformer
Liyou Xu, Guodong Zhang, Sixia Zhao, et al.
IEEE Access (2024) Vol. 12, pp. 107153-107169
Open Access
Intelligent fault diagnosis of hoisting systems under complex working conditions using deep graph convolutional generative adversarial networks with limited data
Yang Li, Xiangyin Meng, Feiyun Xu, et al.
Structural Health Monitoring (2024)
Closed Access
Intelligent fault diagnosis of high-speed train axle box bearings under parameter fluctuation working conditions using continuous cohomology-based meta-transfer learning framework
Yang Li, Xiangyin Meng, Feiyun Xu, et al.
Structural Health Monitoring (2024)
Closed Access
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