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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 of bearings based on deep separable convolutional neural network and spatial dropout
Jiqiang Zhang, Xiangwei Kong, Xueyi Li, et al.
Chinese Journal of Aeronautics (2022) Vol. 35, Iss. 10, pp. 301-312
Open Access | Times Cited: 18

Showing 18 citing articles:

Single and simultaneous fault diagnosis of gearbox via wavelet transform and improved deep residual network under imbalanced data
Suiyan Wang, Jiaye Tian, Pengfei Liang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108146-108146
Closed Access | Times Cited: 41
A modified active learning intelligent fault diagnosis method for rolling bearings with unbalanced samples
Jiantao Lu, Wei Wu, Xin Huang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102397-102397
Closed Access | Times Cited: 17
A novel method for fault diagnosis of fluid end of drilling pump under complex working conditions
Gang Li, Jiayao Hu, Yaping Ding, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110145-110145
Closed Access | Times Cited: 11
A novel sample selection approach based universal unsupervised domain adaptation for fault diagnosis of rotating machinery
Biliang Lu, Yingjie Zhang, Zhaohua Liu, et al.
Reliability Engineering & System Safety (2023) Vol. 240, pp. 109618-109618
Closed Access | Times Cited: 18
Lightweight Neural Network Architecture for Pipeline Weld Crack Leakage Monitoring Using Acoustic Emission
Jing Huang, Zhifen Zhang, Rui Qin, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 16
Cross-domain fault diagnosis method for rolling bearings based on contrastive universal domain adaptation
Shouqiang Kang, Xi Tang, Yujing Wang, et al.
ISA Transactions (2023) Vol. 146, pp. 195-207
Closed Access | Times Cited: 10
Bearing Fault Diagnosis Method Based on Deep Learning and Health State Division
Lin Shi, Shaohui Su, Wanqiang Wang, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7424-7424
Open Access | Times Cited: 9
The BT-SAM-Net: a new framework of end-to-end periodic time-series fault diagnosis for aero-pipelines systems
Tongguang Yang, Zhonghua Dang, Yicheng Duan, et al.
Physica Scripta (2024) Vol. 99, Iss. 7, pp. 076004-076004
Open Access | Times Cited: 3
Intelligent fault diagnosis of rolling bearings based on continuous wavelet transform-multiscale feature fusion and improved channel attention mechanism
Jiqiang Zhang, Xiangwei Kong, Cheng Liu, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2023)
Open Access | Times Cited: 7
Bearings fault diagnosis method based on MAM and deep separable dilated convolutional neural network
Chunli Lei, Jiashuo Shi, Shuzhen Ma, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 114001-114001
Closed Access | Times Cited: 7
Auxiliary generative mutual adversarial networks for class-imbalanced fault diagnosis under small samples
Ranran LI, Shunming LI, Kun Xu, et al.
Chinese Journal of Aeronautics (2022) Vol. 36, Iss. 9, pp. 464-478
Open Access | Times Cited: 12
Research on High-Speed Train bearing Fault Diagnosis Method based on Domain Adversarial Transfer Learning
Yingyong Zou, Wenzhuo Zhao, Tao Liu, et al.
(2024)
Open Access | Times Cited: 1
Research on a Lightweight Multi-Scale Feature Fusion and its Fault Diagnosis Method for Rolling Bearing with Limited Labeled Samples
Jiqiang Zhang, Xiangwei Kong, T. T. Han, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2024)
Open Access
Fault Intelligent Diagnosis for Distribution Box in Hot Rolling Based on Depthwise Separable Convolution and Bi-LSTM
Yonglin Guo, Di Zhou, Huimin Chen, et al.
Processes (2024) Vol. 12, Iss. 9, pp. 1999-1999
Open Access
Research on High-Speed Train Bearing Fault Diagnosis Method Based on Domain-Adversarial Transfer Learning
Yingyong Zou, Wenzhuo Zhao, Tao Liu, et al.
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8666-8666
Open Access
A lightweight hybrid model-based condition monitoring method for grinding wheels using acoustic emission signals
Fan Xu, Jianwei Wu, D.P. Hong, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016145-016145
Closed Access
Soft Shared Multi-Task Convolutional Network Based on the Attention Mechanism
Nan Wang, Liang Sun, Changmin Tian, et al.
2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT) (2023), pp. 1360-1365
Closed Access
Chaotic Rhythms as Indicators of Faults in Technical Systems
A. V. Makshanov, Alexander Azerovich Musaev, D. A. Grigoriev
2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM) (2023), pp. 584-588
Closed Access
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