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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:

Fault diagnosis for small samples based on attention mechanism
Xin Zhang, Chao He, Yanping Lu, et al.
Measurement (2021) Vol. 187, pp. 110242-110242
Closed Access | Times Cited: 139

Showing 1-25 of 139 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: 146
Global contextual residual convolutional neural networks for motor fault diagnosis under variable-speed conditions
Yadong Xu, Xiaoan Yan, Beibei Sun, et al.
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108618-108618
Closed Access | Times Cited: 74
Physics-informed interpretable wavelet weight initialization and balanced dynamic adaptive threshold for intelligent fault diagnosis of rolling bearings
Chao He, Hongmei Shi, Jin Si, et al.
Journal of Manufacturing Systems (2023) Vol. 70, pp. 579-592
Closed Access | Times Cited: 58
Adaptive thresholding and coordinate attention-based tree-inspired network for aero-engine bearing health monitoring under strong noise
Dezun Zhao, Wenbin Cai, Lingli Cui
Advanced Engineering Informatics (2024) Vol. 61, pp. 102559-102559
Closed Access | Times Cited: 45
A fault diagnosis method using improved prototypical network and weighting similarity-Manhattan distance with insufficient noisy data
Changdong Wang, Jingli Yang, Baoqin Zhang
Measurement (2024) Vol. 226, pp. 114171-114171
Closed Access | Times Cited: 33
Toward Efficient and Interpretative Rolling Bearing Fault Diagnosis via Quadratic Neural Network With Bi-LSTM
You Keshun, Wang Puzhou, Yingkui Gu
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 23002-23019
Closed Access | Times Cited: 32
Extended attention signal transformer with adaptive class imbalance loss for Long-tailed intelligent fault diagnosis of rotating machinery
Shuyuan Chang, Liyong Wang, Mingkuan Shi, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102436-102436
Closed Access | Times Cited: 18
Fault transfer diagnosis of rolling bearings across different devices via multi-domain information fusion and multi-kernel maximum mean discrepancy
Jimeng Li, Zhangdi Ye, Jie Gao, et al.
Applied Soft Computing (2024) Vol. 159, pp. 111620-111620
Closed Access | Times Cited: 15
Multi-perception Graph Convolutional Tree-embedded Network for Aero-engine Bearing Health Monitoring with Unbalanced Data
Dezun Zhao, Wenbin Cai, Lingli Cui
Reliability Engineering & System Safety (2025) Vol. 257, pp. 110888-110888
Closed Access | Times Cited: 2
An Attention-Based Multidimensional Fault Information Sharing Framework for Bearing Fault Diagnosis
Yunjin Hu, Qingsheng Xie, Xudong Yang, et al.
Sensors (2025) Vol. 25, Iss. 1, pp. 224-224
Open Access | Times Cited: 1
Multi-scale dynamic graph mutual information network for planet bearing health monitoring under imbalanced data
Wenbin Cai, Dezun Zhao, Tianyang Wang
Advanced Engineering Informatics (2025) Vol. 64, pp. 103096-103096
Closed Access | Times Cited: 1
Research on bearing fault diagnosis method based on transformer neural network
Zhuohong Yang, Jian Cen, Xi Liu, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 8, pp. 085111-085111
Closed Access | Times Cited: 44
A Fault Diagnosis Method for Rotating Machinery Based on CNN With Mixed Information
Zhiqian Zhao, Yinghou Jiao
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 8, pp. 9091-9101
Closed Access | Times Cited: 41
Attention-Embedded Quadratic Network (Qttention) for Effective and Interpretable Bearing Fault Diagnosis
Jing-Xiao Liao, Hangcheng Dong, Zhi-Qi Sun, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Open Access | Times Cited: 32
WSAFormer-DFFN: A model for rotating machinery fault diagnosis using 1D window-based multi-head self-attention and deep feature fusion network
Qingzhe Wei, Xincheng Tian, Long Cui, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106633-106633
Closed Access | Times Cited: 30
Bearing fault diagnosis based on CNN-BiLSTM and residual module
Guanghua Fu, Qingjuan Wei, Yongsheng Yang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125050-125050
Closed Access | Times Cited: 30
Adaptive Class Center Generalization Network: A Sparse Domain-Regressive Framework for Bearing Fault Diagnosis Under Unknown Working Conditions
Wang Bin, Long Wen, Xinyu Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 29
Robust fault diagnosis of quayside container crane gearbox based on 2D image representation in frequency domain and CNN
Jianqun Zhang, Qing Zhang, Xianrong Qin, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 1, pp. 324-342
Closed Access | Times Cited: 23
A multi-fault diagnostic method based on category-reinforced domain adaptation network for series-connected battery packs
Linhui Cai, Han Wang, Zhekang Dong, et al.
Journal of Energy Storage (2023) Vol. 60, pp. 106690-106690
Closed Access | Times Cited: 21
Rotating machinery fault classification based on one-dimensional residual network with attention mechanism and bidirectional gated recurrent unit
Zhilin Dong, Dezun Zhao, Lingli Cui
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086001-086001
Closed Access | Times Cited: 13
Early detection of nicosulfuron toxicity and physiological prediction in maize using multi-branch deep learning models and hyperspectral imaging
Tianpu Xiao, Yang Li, Dongxing Zhang, et al.
Journal of Hazardous Materials (2024) Vol. 474, pp. 134723-134723
Closed Access | Times Cited: 8
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
Deep Coupled Visual Perceptual Networks for Motor Fault Diagnosis Under Nonstationary Conditions
Yadong Xu, Xiaoan Yan, Beibei Sun, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 27, Iss. 6, pp. 4840-4850
Closed Access | Times Cited: 29
Complex-Valued Depthwise Separable Convolutional Neural Network for Automatic Modulation Classification
Chenghong Xiao, Shuyuan Yang, Zhixi Feng
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 20
A Novel Fault Diagnosis Method of Rolling Bearings Combining Convolutional Neural Network and Transformer
Wenkai Liu, Zhigang Zhang, Jiarui Zhang, et al.
Electronics (2023) Vol. 12, Iss. 8, pp. 1838-1838
Open Access | Times Cited: 19
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