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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:

Rolling Bearing Fault Diagnosis Using Hybrid Neural Network with Principal Component Analysis
You Keshun, Guangqi Qiu, Yingkui Gu
Sensors (2022) Vol. 22, Iss. 22, pp. 8906-8906
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Remaining useful life prediction of lithium-ion batteries using EM-PF-SSA-SVR with gamma stochastic process
You Keshun, Guangqi Qiu, Yingkui Gu
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015015-015015
Closed Access | Times Cited: 58
Optimizing prior distribution parameters for probabilistic prediction of remaining useful life using deep learning
You Keshun, Guangqi Qiu, Yingkui Gu
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109793-109793
Closed Access | Times Cited: 44
An efficient lightweight neural network using BiLSTM-SCN-CBAM with PCA-ICEEMDAN for diagnosing rolling bearing faults
You Keshun, Guangqi Qiu, Yingkui Gu
Measurement Science and Technology (2023) Vol. 34, Iss. 9, pp. 094001-094001
Closed Access | Times Cited: 41
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
A 3-D Attention-Enhanced Hybrid Neural Network for Turbofan Engine Remaining Life Prediction Using CNN and BiLSTM Models
You Keshun, Guangqi Qiu, Yingkui Gu
IEEE Sensors Journal (2023) Vol. 24, Iss. 14, pp. 21893-21905
Closed Access | Times Cited: 29
Research on intelligent implementation of the beneficiation process of shaking table
You Keshun, Wen Chengyu, Huizhong Liu
Minerals Engineering (2023) Vol. 199, pp. 108108-108108
Closed Access | Times Cited: 23
A hybrid deep learning model towards fault diagnosis of drilling pump
Junyu Guo, Yulai Yang, He Li, et al.
Applied Energy (2024) Vol. 372, pp. 123773-123773
Open Access | Times Cited: 12
A new feature boosting based continual learning method for bearing fault diagnosis with incremental fault types
Zhenzhong He, Changqing Shen, Bojian Chen, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102469-102469
Closed Access | Times Cited: 11
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: 7
BiShuffleNeXt: A lightweight bi-path network for remote sensing scene classification
Zhichao Chen, Jie Yang, Zhicheng Feng, et al.
Measurement (2023) Vol. 209, pp. 112537-112537
Closed Access | Times Cited: 20
Machine learning for prognostics and health management of industrial mechanical systems and equipment: A systematic literature review
Lorenzo Polverino, Raffaele Abbate, Pasquale Manco, et al.
International Journal of Engineering Business Management (2023) Vol. 15
Open Access | Times Cited: 15
A performance-interpretable intelligent fusion of sound and vibration signals for bearing fault diagnosis via dynamic CAME
You Keshun, Lian Zengwei, Yingkui Gu
Nonlinear Dynamics (2024) Vol. 112, Iss. 23, pp. 20903-20940
Closed Access | Times Cited: 6
Fault Diagnosis Method of Motor Bearing Under Variable Load Condition Based on Parameter Optimization VMD-NLMS
Y.H. Li, Zhi Zhu, Zhixian Zhong, et al.
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2607-2607
Open Access
Interpretable quadratic convolutional residual neural network for bearing fault diagnosis
Zhiyong Luo, Shuping Pan, Xin Dong, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2025) Vol. 47, Iss. 4
Closed Access
Predicting bearing damage in electric motors: a comparative study using combined neural networks
Faisal Althobiani
Nondestructive Testing And Evaluation (2025), pp. 1-25
Closed Access
Intelligent Deployment Solution for Tabling Adapting Deep Learning
You Keshun, Huizhong Liu
IEEE Access (2023) Vol. 11, pp. 22201-22208
Open Access | Times Cited: 14
Spectral proper orthogonal decomposition and machine learning algorithms for bearing fault diagnosis
Adel Afia, Fawzi Gougam, Walid Touzout, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 10
Closed Access | Times Cited: 13
A hybrid fault diagnosis method for rolling bearings based on GGRU-1DCNN with AdaBN algorithm under multiple load conditions
Lirong Sun, Xiaomin Zhu, Jiannan Xiao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076201-076201
Closed Access | Times Cited: 3
A Study of Noise Effect in Electrical Machines Bearing Fault Detection and Diagnosis Considering Different Representative Feature Models
Dimitrios A. Moysidis, Georgios D. Karatzinis, Yiannis S. Boutalis, et al.
Machines (2023) Vol. 11, Iss. 11, pp. 1029-1029
Open Access | Times Cited: 8
Interpretable and efficient RUL prediction of turbofan engines using EM-enhanced Bi-LSTM with TCN and attention mechanism
Wang Jian-xing, Yue Wang, J. W. Li
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035507-035507
Closed Access | Times Cited: 2
Deep Subdomain Transfer Learning with Spatial Attention ConvLSTM Network for Fault Diagnosis of Wheelset Bearing in High-Speed Trains
Jiujian Wang, Shaopu Yang, Yongqiang Liu, et al.
Machines (2023) Vol. 11, Iss. 2, pp. 304-304
Open Access | Times Cited: 7
Research on Intelligent Disinfection-Vehicle System Design and Its Global Path Planning
Lifang Chen, Huogen Yang, Zhichao Chen, et al.
Electronics (2023) Vol. 12, Iss. 7, pp. 1514-1514
Open Access | Times Cited: 6
Bearing Fault-Detection Method Based on Improved Grey Wolf Algorithm to Optimize Parameters of Multistable Stochastic Resonance
Weichao Huang, Ganggang Zhang
Sensors (2023) Vol. 23, Iss. 14, pp. 6529-6529
Open Access | Times Cited: 6
A Mechanical Defect Localization and Identification Method for High-Voltage Circuit Breakers Based on the Segmentation of Vibration Signals and Extraction of Chaotic Features
Shi Cao, Tong Zhao, Gang Wang, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7201-7201
Open Access | Times Cited: 6
A Deep Learning-Based Intelligent Quality Detection Model for Machine Translation
Meijuan Chen
IEEE Access (2023) Vol. 11, pp. 89469-89477
Open Access | Times Cited: 5
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