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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:

Multilayer-graph-embedded extreme learning machine for performance degradation prognosis of bearing
Mingkuan Shi, Chuancang Ding, Hongbo Que, et al.
Measurement (2022) Vol. 207, pp. 112299-112299
Closed Access | Times Cited: 19

Showing 19 citing articles:

Intelligent framework for degradation monitoring, defect identification and estimation of remaining useful life (RUL) of bearing
Anil Kumar, Chander Parkash, Hesheng Tang, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102206-102206
Closed Access | Times Cited: 25
AI-Driven Predictive Maintenance in Mining: A Systematic Literature Review on Fault Detection, Digital Twins, and Intelligent Asset Management
Luis Rojas, Álvaro Peña, José García
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3337-3337
Open Access
Interpretable temporal degradation state chain based fusion graph for intelligent bearing fault detection
Tangbin Xia, Xueqi Xing, Tongtong Yan, et al.
Advanced Engineering Informatics (2024) Vol. 59, pp. 102342-102342
Closed Access | Times Cited: 4
An integrated network architecture for data repair and degradation trend prediction
Qichao Yang, Baoping Tang, Shilong Yang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110610-110610
Closed Access | Times Cited: 9
Machinery degradation trend prediction considering temporal distribution discrepancy between degradation stages
Shudong Ou, Ming Zhao, Hao Wu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107872-107872
Closed Access | Times Cited: 2
Bearing condition monitoring via an unsupervised and enhanced stacked auto-encoder
Fan Xu, Zhenyu Hao, Chao Zhou, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 6
Closed Access | Times Cited: 2
Research on multi-granularity imbalanced knowledge condition monitoring for mechanical equipment based on hierarchical ELM in multi-entropy space
Sencai Ma, Gang Cheng, Yong Li, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121817-121817
Closed Access | Times Cited: 5
WTFormer: RUL prediction method guided by trainable wavelet transform embedding and lagged penalty loss
Qichao Yang, Baoping Tang, Lei Deng, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102710-102710
Closed Access | Times Cited: 1
Physical mechanism-corrected degradation trend prediction network under data missing
Qichao Yang, Baoping Tang, Qikang Li, et al.
ISA Transactions (2024) Vol. 149, pp. 237-255
Closed Access | Times Cited: 1
ELM parameter estimation in view of maximum likelihood
Lanzhen Yang, Eric C.C. Tsang, Xizhao Wang, et al.
Neurocomputing (2023) Vol. 557, pp. 126704-126704
Closed Access | Times Cited: 3
Availability-Oriented Maintenance Strategy of Key Equipment in Automated Production Line Considering Performance Degradation
Miao Yang, Congbo Li, Ying Tang, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 6, pp. 3182-3189
Closed Access | Times Cited: 2
Remaining useful life prediction method of rolling bearings based on improved 3σ and DBO-HKELM
Shuzhi Gao, Zeqin Li, Yimin Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106101-106101
Closed Access
RUL prediction of rolling bearings based on adaptive variational mode decomposition and double-discriminator conditional CycleGAN
Jun Yu, Kun Zhao, Zhenyu Guo, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024) Vol. 238, Iss. 12, pp. 6007-6017
Closed Access
Life Prediction of Rolling Bearing Based on Optimal Time–Frequency Spectrum and DenseNet-ALSTM
Jintao Chen, Baokang Yan, Mengya Dong, et al.
Sensors (2024) Vol. 24, Iss. 5, pp. 1497-1497
Open Access
A model for remaining useful life interval prediction of servo turret power head system of turn-milling center under time-varying operating conditions
Jialong He, Chenchen Wu, Wanghao Shen, et al.
Computers & Industrial Engineering (2024) Vol. 197, pp. 110592-110592
Closed Access
Rüzgâr Türbini Yüksek Hızlı Şaft Rulmanının Sağlık Durumu Aşamalarının Derin Öğrenme İle Sınıflandırılması
Gonca Öcalan, İbrahim Türkoğlu
Journal of Polytechnic (2024)
Open Access
Health prediction under limited degradation data for rocket engine bearings via conditional inference knowledge-enrichment approach
Yulang Liu, Jinglong Chen, Weijun Xu
Advanced Engineering Informatics (2024) Vol. 64, pp. 102998-102998
Closed Access
Extreme Learning Machine Combining Hidden-Layer Feature Weighting and Batch Training for Classification
Chao Wu, Yu Sang, Yakun Gao
Neural Processing Letters (2023) Vol. 55, Iss. 8, pp. 10951-10973
Closed Access | Times Cited: 1
Bearing performance degradation assessment using adversarial fusion convolutional autoencoder based on multi-source information
Enxiu Wang, Haoxuan Zhou, Guangrui Wen, et al.
Transactions of the Institute of Measurement and Control (2023) Vol. 46, Iss. 5, pp. 992-1011
Closed Access | Times Cited: 1
Elm Parameter Estimation in View of Maximum Likelihood
Lanzhen Yang, Eric C.C. Tsang, Xizhao Wang, et al.
(2023)
Closed Access
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