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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:

Multiscale Noise Reduction Attention Network for Aeroengine Bearing Fault Diagnosis
Xing Wang, Han Zhang, Zhaohui Du
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 25

Showing 25 citing articles:

Double attention-guided tree-inspired grade decision network: A method for bearing fault diagnosis of unbalanced samples under strong noise conditions
Zhilin Dong, Yonghua Jiang, Weidong Jiao, et al.
Advanced Engineering Informatics (2025), pp. 103004-103004
Closed Access | Times Cited: 4
DRSwin-ST: An intelligent fault diagnosis framework based on dynamic threshold noise reduction and sparse transformer with Shifted Windows
Tao Zhou, Dechen Yao, Jianwei Yang, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110327-110327
Closed Access | Times Cited: 9
A strong anti-noise and easily deployable bearing fault diagnosis model based on time–frequency dual-channel Transformer
Zhao Xu, Zhiyang Jia, YiWei Wei, et al.
Measurement (2024) Vol. 236, pp. 115054-115054
Closed Access | Times Cited: 6
Deep Residual Multiscale Convolutional Neural Network With Attention Mechanism for Bearing Fault Diagnosis Under Strong Noise Environment
Shuzhen Han, Shengke Sun, Zhanshan Zhao, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 6, pp. 9073-9081
Closed Access | Times Cited: 5
A lightweight multi-feature fusion vision transformer bearing fault diagnosis method with strong local sensing ability in complex environments
Sen Li, Xiaoqiang Zhao
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 065104-065104
Closed Access | Times Cited: 4
A novel deep learning approach for intelligent bearing fault diagnosis under extremely small samples
Peixuan Ding, Yi Xu, Pan Qin, et al.
Applied Intelligence (2024) Vol. 54, Iss. 7, pp. 5306-5316
Closed Access | Times Cited: 4
Few-shot aero-engine bearing fault diagnosis with denoising diffusion based data augmentation
Zuowei Ping, Dewen Wang, Yong Zhang, et al.
Neurocomputing (2025), pp. 129327-129327
Closed Access
Synchronous Extraction of Cage and Inner Ring Rotational Frequencies in Aircraft Bearings via Weak Magnetic Fields and Adaptive Ridge Extraction for Cage Slip Monitoring
Xiaofeng Bai, Abdul Majid Khan, Liwei Zhan, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-14
Closed Access
Intelligent Framework for Bearing Fault Diagnosis in High-Noise Environments: A Location-Focused Soft Threshold Denoising Approach
Dechen Yao, Tao Zhou, Jianwei Yang
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 9523-9535
Closed Access | Times Cited: 3
A small sample bearing fault diagnosis method based on novel Zernike moment feature attention convolutional neural network
Yunji Zhao, Xu Jun
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066208-066208
Closed Access | Times Cited: 3
Weak Fault Feature Extraction and Enhancement of Autonomous Underwater Vehicle Thrusters Based on Artificial Rabbits Optimization and Variational Mode Decomposition
Dacheng Yu, Mingjun Zhang, Feng Yao, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 3, pp. 455-455
Open Access | Times Cited: 2
Adaptive global noise suppression deep deconvolution for weak fault signature mining of aero-engine accessory casing
Jiakai Ding, Yi Wang, Yi Qin, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access | Times Cited: 2
Multi-objective optimal deep deconvolution and its application to early fault signal enhancement of rotating machineries
Jiakai Ding, Yi Wang, Yi Qin, et al.
Mechanical Systems and Signal Processing (2024) Vol. 221, pp. 111722-111722
Closed Access | Times Cited: 1
Multi-timescale Attention Residual Shrinkage Network with Adaptive Global-Local Denoising for Rolling-Bearing Fault Diagnosis
Huihui Gao, Xiaoran Zhang, Xuejin Gao, et al.
Knowledge-Based Systems (2024) Vol. 304, pp. 112478-112478
Closed Access | Times Cited: 1
MD-BiMamba: An aero-engine inter-shaft bearing fault diagnosis method based on Mamba with modal decomposition and bidirectional features fusion strategy
Peng Wang, Yafei Song, Xiaodan Wang, et al.
Measurement (2024), pp. 115870-115870
Closed Access | Times Cited: 1
KBRDBN: An Interpretable Deep Belief Network for the Fault Diagnosis of the Trolley Mechanism in Ship-to-Shore Cranes
Xiaoqiang Liao, Xinguo Ming, Min Xia
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-12
Closed Access | Times Cited: 3
MSNCog: A Lightweight Faults Diagnosis System Based on Multiscale Transfer Model for Adaptive Infrared Perspective
Lei Fu, Jianhui Ma, Zhaoyue Liang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
Ali Saeed Khan
(2024)
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
HF-MSCN: a high frequency-multiscale cascade network for bearing fault diagnosis
Alaeldden Abduelhadi, Haopeng Liang, Jie Cao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116120-116120
Closed Access
Fault diagnosis method of rolling bearing based on noise reduction enhanced multi-frequency scale network
Dewen Kong, Hongfei Zhan, Junhe Yu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116014-116014
Closed Access
DTCNA-Net: Dual temporal convolutional neural network with noise estimation and attention mechanism for intelligent fault diagnosis under the complex noise environment
Jiyang Zhang, Jianxiao Zou, Zhiheng Su, et al.
(2024), pp. 41-48
Closed Access
A High-Precision Aero-Engine Bearing Fault Diagnosis Based on Spatial Enhancement Convolution and Vision Transformer
Bin Wang, Yongcheng Xiong, Liguo Tan
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 74, pp. 1-15
Closed Access
Denoised Attention Neural Network for Direction-of-Arrival Estimation in Low SNR
Zhiqiang Yin, Han Zhang, Zhaohui Du, et al.
(2023), pp. 1241-1246
Closed Access | Times Cited: 1
A Current Noise Cancellation Method Based on Fractional Linear Prediction for Bearing Fault Detection
Kaijin Xu, Xiangjin Song
Sensors (2023) Vol. 24, Iss. 1, pp. 52-52
Open Access
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