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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:

A novel health indicator for intelligent prediction of rolling bearing remaining useful life based on unsupervised learning model
Zifei Xu, Musa Bashir, Qinsong Liu, et al.
Computers & Industrial Engineering (2023) Vol. 176, pp. 108999-108999
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

A parallel GRU with dual-stage attention mechanism model integrating uncertainty quantification for probabilistic RUL prediction of wind turbine bearings
Lixiao Cao, Hongyu Zhang, Zong Meng, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109197-109197
Closed Access | Times Cited: 52
A hybrid prognosis scheme for rolling bearings based on a novel health indicator and nonlinear Wiener process
Junyu Guo, Zhiyuan Wang, He Li, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110014-110014
Open Access | Times Cited: 45
A parallel deep neural network for intelligent fault diagnosis of drilling pumps
Junyu Guo, Yulai Yang, He Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108071-108071
Open Access | Times Cited: 39
Paradigm Shift for Predictive Maintenance and Condition Monitoring from Industry 4.0 to Industry 5.0: A Systematic Review, Challenges and Case Study
Aitzaz Ahmed Murtaza, Amina Saher, Muhammad Hamza Zafar, et al.
Results in Engineering (2024), pp. 102935-102935
Open Access | Times Cited: 20
A novel method for predicting the remaining useful life of MOSFETs based on a linear multi-fractional Lévy stable motion driven by a GRU similarity transfer network
Shuai Lv, Shujie Liu, Hongkun Li, et al.
Reliability Engineering & System Safety (2025), pp. 110818-110818
Closed Access | Times Cited: 1
A deep learning based health indicator construction and fault prognosis with uncertainty quantification for rolling bearings
Zhiyuan Wang, Junyu Guo, Jiang Wang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 10, pp. 105105-105105
Closed Access | Times Cited: 22
A novel framework based on two-stage multi-view feature optimization and improved support vector data description for aeroengine bearing early fault detection
Zhaoguo Hou, Huawei Wang, Yubin Yue, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110027-110027
Closed Access | Times Cited: 9
Bayesian Fusion of Degradation and Failure Time Data for Reliability Assessment of Industrial Equipment Considering Individual Differences
Guo‐Zhong Fu, Xian Zhang, Wei Li, et al.
Processes (2024) Vol. 12, Iss. 2, pp. 268-268
Open Access | Times Cited: 6
Benefits of Mann–Kendall trend analysis for vibration-based condition monitoring
Adrien Marsick, Hugo André, Ilyes Khelf, et al.
Mechanical Systems and Signal Processing (2024) Vol. 216, pp. 111486-111486
Open Access | Times Cited: 6
Incremental bearing fault diagnosis method under imbalanced sample conditions
Gezhi Liu, Lifeng Wu
Computers & Industrial Engineering (2024) Vol. 192, pp. 110203-110203
Closed Access | Times Cited: 6
A survey on degradation modeling, prognosis, and prognostics-driven maintenance in wind energy systems
Nur Banu Altinpulluk, Deniz Altinpulluk, Murat Yildirim, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 211, pp. 115281-115281
Closed Access
A MID-1DC+LRT Multi-Task Model for SOH Assessment and RUL Prediction of Mechanical Systems
Hai Yang, Xudong Yang, Dong Sun, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1368-1368
Open Access
An unsupervised framework for dynamic health indicator construction and its application in rolling bearing prognostics
Tongda Sun, Chen Yin, Huailiang Zheng, et al.
Reliability Engineering & System Safety (2025), pp. 111039-111039
Closed Access
Multi-scale deep residual shrinkage networks with a hybrid attention mechanism for rolling bearing fault diagnosis
Xinliang Zhang, Yanqi Wang, Shengqiang Wei, et al.
Journal of Instrumentation (2024) Vol. 19, Iss. 05, pp. P05015-P05015
Open Access | Times Cited: 4
Transformer-based novel framework for remaining useful life prediction of lubricant in operational rolling bearings
Sung-Hyun Kim, Yun-Ho Seo, Junhong Park
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110377-110377
Closed Access | Times Cited: 4
A progressive multi-source domain adaptation method for bearing fault diagnosis
Xiaorong Zheng, Zhiwei He, Jiahao Nie, et al.
Applied Acoustics (2023) Vol. 216, pp. 109797-109797
Closed Access | Times Cited: 10
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
A Spatiotemporal Fusion Autoencoder-Based Health Indicator Automatic Construction Method for Rotating Machinery Considering Vibration Signal Expression
Yong Duan, Xiangang Cao, Jiangbin Zhao, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 20, pp. 24822-24838
Closed Access | Times Cited: 7
A Novel Kalman Filter-Based Prognostics Framework for Performance Degradation of Quadcopter Motors
Dongwoo Lee, Hyung Jun Park, Dongmin Lee, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-12
Closed Access | Times Cited: 7
Construction Health Indicator using Physically-Informed 1D-WGAN-GP Joint Attention LSTM-DenseNet Method
Hai Yang, Xudong Yang, Dong Sun, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076204-076204
Open Access | Times Cited: 2
Remaining Useful Life prediction based on physics-informed data augmentation
Martin Hervé de Beaulieu, Mayank Shekhar Jha, Hugues Garnier, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110451-110451
Closed Access | Times Cited: 2
Physics-informed probabilistic deep network with interpretable mechanism for trustworthy mechanical fault diagnosis
Zifei Xu, Kaicheng Zhao, Jin Wang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102806-102806
Open Access | Times Cited: 2
A systematic overview of health indicator construction methods for rotating machinery
Jianghong Zhou, Jiahong Yang, Yi Qin
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109356-109356
Closed Access | Times Cited: 2
Bearing Fault Degradation Modeling Based on Multitime Windows Fusion Unsupervised Health Indicator
Solichin Mochammad, Yoojeong Noh, Young-Jin Kang
IEEE Sensors Journal (2023) Vol. 23, Iss. 17, pp. 19623-19634
Closed Access | Times Cited: 6
Best Practice Data Sharing Guidelines for Wind Turbine Fault Detection Model Evaluation
Sarah Barber, Unai Izagirre, Oscar Serradilla, et al.
Energies (2023) Vol. 16, Iss. 8, pp. 3567-3567
Open Access | Times Cited: 4
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