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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:

Long short-term memory network with multi-resolution singular value decomposition for prediction of bearing performance degradation
Mengfu He, Youguang Zhou, Yang Li, et al.
Measurement (2020) Vol. 156, pp. 107582-107582
Closed Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Temporal convolutional network with soft thresholding and attention mechanism for machinery prognostics
Yiwei Wang, Lei Deng, Lianyu Zheng, et al.
Journal of Manufacturing Systems (2021) Vol. 60, pp. 512-526
Closed Access | Times Cited: 97
A novel based-performance degradation indicator RUL prediction model and its application in rolling bearing
Chuangyan Yang, Jun Ma, Xiaodong Wang, et al.
ISA Transactions (2021) Vol. 121, pp. 349-364
Closed Access | Times Cited: 76
Adaptive periodic mode decomposition and its application in rolling bearing fault diagnosis
Jian Cheng, Yu Yang, Xin Li, et al.
Mechanical Systems and Signal Processing (2021) Vol. 161, pp. 107943-107943
Closed Access | Times Cited: 69
A hybrid prognostic method based on gated recurrent unit network and an adaptive Wiener process model considering measurement errors
Zhe Chen, Tangbin Xia, Yanting Li, et al.
Mechanical Systems and Signal Processing (2021) Vol. 158, pp. 107785-107785
Closed Access | Times Cited: 66
Symplectic geometry packet decomposition and its applications to gear fault diagnosis
Jian Cheng, Yu Yang, Xin Li, et al.
Mechanical Systems and Signal Processing (2022) Vol. 174, pp. 109096-109096
Closed Access | Times Cited: 43
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
Journal bearing seizure degradation assessment and remaining useful life prediction based on long short-term memory neural network
Ning Ding, Hu‐Lin Li, Zhongwei Yin, et al.
Measurement (2020) Vol. 166, pp. 108215-108215
Closed Access | Times Cited: 50
Remaining useful life prediction of rolling bearings based on Pearson correlation-KPCA multi-feature fusion
Yaping Wang, Jiajun Zhao, Chaonan Yang, et al.
Measurement (2022) Vol. 201, pp. 111572-111572
Closed Access | Times Cited: 32
LSTM-Based Condition Monitoring and Fault Prognostics of Rolling Element Bearings Using Raw Vibrational Data
Yasir Saleem Afridi, Laiq Hasan, Rehmat Ullah, et al.
Machines (2023) Vol. 11, Iss. 5, pp. 531-531
Open Access | Times Cited: 20
Remaining Useful Life Prognosis Method of Rolling Bearings Considering Degradation Distribution Shift
Bo Tang, Dechen Yao, Jianwei Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access | Times Cited: 6
Research on loose bolt localization technology for transmission towers
Guanru Wen, Long Zhao, Zhicheng Liu, et al.
Structural Health Monitoring (2024) Vol. 23, Iss. 5, pp. 3134-3155
Closed Access | Times Cited: 5
Remaining useful life prediction of rolling bearing under limited data based on adaptive time-series feature window and multi-step ahead strategy
Weili Kong, Hai Li
Applied Soft Computing (2022) Vol. 129, pp. 109630-109630
Closed Access | Times Cited: 22
Multi-sensor data fusion and bidirectional-temporal attention convolutional network for remaining useful life prediction of rolling bearing
Haopeng Liang, Jie Cao, Xiaoqiang Zhao
Measurement Science and Technology (2023) Vol. 34, Iss. 10, pp. 105126-105126
Closed Access | Times Cited: 13
A parameter-adaptive spectral graph wavelet transform method for wind turbines vibration signal denoising
Jiayang Liu, Qiang Zhang, Li Deng, et al.
International Journal of Mechanical Sciences (2024) Vol. 270, pp. 109075-109075
Closed Access | Times Cited: 4
Degradation Modelling and Prognostics of Rotating Equipment with Automated Machine Learning
Stefanos Kontos, Alexandros Bousdekis, Katerina Lepenioti, et al.
Procedia Computer Science (2025) Vol. 253, pp. 1640-1648
Open Access
Deep Learning Algorithms for Machinery Health Prognostics Using Time-Series Data: A Review
Nikhil M. Thoppil, V. Vasu, C.S.P. Rao
Journal of Vibration Engineering & Technologies (2021) Vol. 9, Iss. 6, pp. 1123-1145
Closed Access | Times Cited: 31
A Health Index Construction Framework for Prognostics Based on Feature Fusion and Constrained Optimization
Zhen Chen, Tangbin Xia, Di Zhou, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-15
Open Access | Times Cited: 31
Intelligent prognostics of bearings based on bidirectional long short-term memory and wavelet packet decomposition
Houssem Habbouche, Tarak Benkedjouh, Noureddine Zerhouni
The International Journal of Advanced Manufacturing Technology (2021) Vol. 114, Iss. 1-2, pp. 145-157
Closed Access | Times Cited: 24
A Data Augmentation Boosted Dual Informer Framework for the Performance Degradation Prediction of Aero-Engines
Zhiyao Zhang, Pengpeng Chen, Chenguang Xing, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 11, pp. 12018-12030
Closed Access | Times Cited: 9
Condition Monitoring and Fault Diagnosis of Rotating Machinery Towards Intelligent Manufacturing: Review and Prospect
Hui Zhang, W Che, Youren Cao, et al.
Iranian Journal of Science and Technology Transactions of Mechanical Engineering (2024)
Closed Access | Times Cited: 3
A dual-stream temporal convolutional network for remaining useful life prediction of rolling bearings
Yazhou Zhang, Xiaoqiang Zhao, Rongrong Xu, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016206-016206
Closed Access | Times Cited: 3
A Review: Prediction Method for the Remaining Useful Life of the Mechanical System
Jianxin Lei, Wenbo Zhang, Zhinong Jiang, et al.
Journal of Failure Analysis and Prevention (2022) Vol. 22, Iss. 6, pp. 2119-2137
Closed Access | Times Cited: 14
Performance degradation prediction model of rolling bearing based on self-checking long short-term memory network
Xiaosheng Lan, Yunfeng Li, Yuanhao Su, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 1, pp. 015016-015016
Closed Access | Times Cited: 13
Drill Tools Sticking Prediction Based on Adaptive Long Short-Term Memory
Honglin Wu, Zhongbin Wang, Lei Si, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086134-086134
Closed Access | Times Cited: 2
Failure prediction with statistical analysis of bearing using deep forest model and change point detection
Junqiang Liu, Hongfu Zuo
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108504-108504
Closed Access | Times Cited: 2
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