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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:

Toward Small Sample Challenge in Intelligent Fault Diagnosis: Attention-Weighted Multidepth Feature Fusion Net With Signals Augmentation
Tianci Zhang, Shuilong He, Jinglong Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 71, pp. 1-13
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Attention mechanism in intelligent fault diagnosis of machinery: A review of technique and application
Haixin Lv, Jinglong Chen, Tongyang Pan, et al.
Measurement (2022) Vol. 199, pp. 111594-111594
Closed Access | Times Cited: 148
Intelligent fault diagnosis of turbine blade cracks via multiscale sparse filtering and multi-kernel support vector machine for information fusion
Xin Huang, Xiaodong Zhang, Yiwei Xiong, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101979-101979
Closed Access | Times Cited: 35
Improved Fault Diagnosis Method for Permanent Magnet Synchronous Machine System Based on Lightweight Multi-Source Information Data Layer Fusion
Jun Hang, Gaopeng Qiu, Menglu Hao, et al.
IEEE Transactions on Power Electronics (2024) Vol. 39, Iss. 10, pp. 13808-13817
Closed Access | Times Cited: 12
A sound-vibration physical-information fusion constraint-guided deep learning method for rolling bearing fault diagnosis
You Keshun, Wang Puzhou, Peng Huang, et al.
Reliability Engineering & System Safety (2024), pp. 110556-110556
Closed Access | Times Cited: 9
Fault Diagnosis for Limited Annotation Signals and Strong Noise Based on Interpretable Attention Mechanism
Biao Chen, Tingting Liu, Chao He, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 12, pp. 11865-11880
Closed Access | Times Cited: 31
Limited Fault Data Augmentation With Compressed Sensing for Bearing Fault Diagnosis
Dongdong Wang, Yining Dong, Han Wang, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 13, pp. 14499-14511
Closed Access | Times Cited: 21
A GAN-based method for diagnosing bodywork spot welding defects in response to small sample condition
Geng Chen, Buyun Sheng, Fu Gaocai, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111544-111544
Closed Access | Times Cited: 7
A dual-attention feature fusion network for imbalanced fault diagnosis with two-stream hybrid generated data
Chenze Wang, Han Wang, Min Liu
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 4, pp. 1707-1719
Closed Access | Times Cited: 15
Method to enhance time series rolling fault prediction by deep fast Fourier convolution
Ping Yu, Mengmeng Ping, Jialin Ma, et al.
Measurement (2024) Vol. 228, pp. 114177-114177
Closed Access | Times Cited: 4
Power transformer fault diagnosis using dynamic multiscale graph modeling and M2SGCN network based on statistical fusion
Xiaoyan Liu, Y. He
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066009-066009
Closed Access | Times Cited: 3
Siamese multiscale residual feature fusion network for aero-engine bearing fault diagnosis under small-sample condition
Zhaoguo Hou, Huawei Wang, Shaolan Lv, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 3, pp. 035109-035109
Closed Access | Times Cited: 14
A rolling bearing fault diagnosis method based on Markov transition field and multi-scale Runge-Kutta residual network
Simin Ding, Zhiyuan Rui, Chunli Lei, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125150-125150
Closed Access | Times Cited: 7
A multi-stream multi-scale lightweight SwinMLP network with an adaptive channel-spatial soft threshold for online fault diagnosis of power transformers
Xiaoyan Liu, Yigang He
Measurement Science and Technology (2023) Vol. 34, Iss. 7, pp. 075014-075014
Closed Access | Times Cited: 6
A Comparative Study and Improved Bearing Fault Classifier Using Raw Vibration Data Under Limited Training Samples
Jee Siang Yap, Meng Hee Lim, M. Salman Leong
International Journal of Automotive and Mechanical Engineering (2024) Vol. 21, Iss. 1, pp. 11074-11084
Open Access | Times Cited: 1
Simulation data-driven fault diagnosis method for metro traction motor bearings under small samples and missing fault samples
Kailin Bi, Aihua Liao, Dingyu Hu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 105117-105117
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
Recent advances in mechanism/data-driven fault diagnosis of complex engineering systems with uncertainties
Chong Wang, Xinxing Chen, Xin Qiang, et al.
AIMS Mathematics (2024) Vol. 9, Iss. 11, pp. 29736-29772
Open Access | Times Cited: 1
SeqInfo-SAWGAN-GP: Adaptive feature extraction from vibration time data under variable operating conditions for imbalanced bearing fault diagnosis
Teng Wang, Zhi Chao Ong, Shin Yee Khoo, et al.
Measurement (2024), pp. 116344-116344
Closed Access | Times Cited: 1
Multi-head spatio-temporal attention based parallel GRU architecture: a novel multi-sensor fusion method for mechanical fault diagnosis
Yaozong Li, Xiong Luo, Yuhao Xie, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015111-015111
Closed Access | Times Cited: 4
Hierarchical dynamic aggregation graph modeling of vibration for semi-supervised fault diagnosis of power transformer
Xiaoyan Liu, Yigang He
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025019-025019
Closed Access | Times Cited: 3
Incorporating Segmentive & Augmentive Tools in Cosine KNN for Bearing Intelligent Fault Diagnosis
J. S. Yap, M. H. Lim, M. Salman Leong
Journal of Vibration Engineering & Technologies (2024)
Closed Access
Dynamic simulation-assisted Gaussian mixture alignment approach for fault diagnosis of rotation machinery under small samples
shubo yu, Zhansheng Liu, Gaorong Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096106-096106
Closed Access
Seqinfo-Sawgan-Gp: Adaptive Feature Extraction from Vibration Time Data Under Variable Rotating Speeds for Imbalanced Bearing Fault Diagnosis
Teng Wang, Zhi Chao Ong, Shin Yee Khoo, et al.
(2024)
Closed Access
A multi-depth step-training convolutional neural network for power machinery fault diagnosis under variable loads
Jiewei Lin, Gou Xin, Xiaolong Zhu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access
A self-growth convolution network for thermal and mechanical fault detection with very limited engine data
Gou Xin, Xiaolong Zhu, Xinwei Wang, et al.
Energy and AI (2024), pp. 100449-100449
Open Access
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