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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 two-stage method based on extreme learning machine for predicting the remaining useful life of rolling-element bearings
Zuozhou Pan, Zong Meng, Zijun Chen, et al.
Mechanical Systems and Signal Processing (2020) Vol. 144, pp. 106899-106899
Closed Access | Times Cited: 245

Showing 26-50 of 245 citing articles:

Fractional Fourier and time domain recurrence plot fusion combining convolutional neural network for bearing fault diagnosis under variable working conditions
Ruxue Bai, Zong Meng, Quansheng Xu, et al.
Reliability Engineering & System Safety (2022) Vol. 232, pp. 109076-109076
Closed Access | Times Cited: 57
The two-stage RUL prediction across operation conditions using deep transfer learning and insufficient degradation data
Han Cheng, Xianguang Kong, Qibin Wang, et al.
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108581-108581
Closed Access | Times Cited: 52
Health state assessment of bearing with feature enhancement and prediction error compensation strategy
Yong Zhang, Jiahua Sun, Jing Zhang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 182, pp. 109573-109573
Open Access | Times Cited: 49
Dynamic Model-Assisted Bearing Remaining Useful Life Prediction Using the Cross-Domain Transformer Network
Yongchao Zhang, Ke Feng, Jinchen Ji, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 28, Iss. 2, pp. 1070-1080
Closed Access | Times Cited: 49
Remaining Useful Life Prediction by Distribution Contact Ratio Health Indicator and Consolidated Memory GRU
Jianghong Zhou, Yi Qin, Jun Luo, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 7, pp. 8472-8483
Closed Access | Times Cited: 48
Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis
Mingkuan Shi, Chuancang Ding, Rui Wang, et al.
Knowledge-Based Systems (2022) Vol. 260, pp. 110172-110172
Closed Access | Times Cited: 40
RUL prediction for rolling bearings based on Convolutional Autoencoder and status degradation model
Weiyang Xu, Quan Jiang, Yehu Shen, et al.
Applied Soft Computing (2022) Vol. 130, pp. 109686-109686
Closed Access | Times Cited: 38
A CNN‐BiLSTM‐Bootstrap integrated method for remaining useful life prediction of rolling bearings
Junyu Guo, Jiang Wang, Zhiyuan Wang, et al.
Quality and Reliability Engineering International (2023) Vol. 39, Iss. 5, pp. 1796-1813
Closed Access | Times Cited: 35
A bidirectional recursive gated dual attention unit based RUL prediction approach
Lei Yang, Yuhe Liao, Rongkai Duan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105885-105885
Closed Access | Times Cited: 28
CSWGAN-GP: A new method for bearing fault diagnosis under imbalanced condition
Xi Gu, Yaoxiang Yu, Liang Guo, et al.
Measurement (2023) Vol. 217, pp. 113014-113014
Closed Access | Times Cited: 25
Attention-based Gate Recurrent Unit for remaining useful life prediction in prognostics
Ruiguan Lin, Huawei Wang, Minglan Xiong, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110419-110419
Closed Access | Times Cited: 24
Anomaly detection and multi-step estimation based remaining useful life prediction for rolling element bearings
Junyu Qi, Rui Zhu, Chenyu Liu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 206, pp. 110910-110910
Closed Access | Times Cited: 24
Research on Fault Diagnosis of Rolling Bearing Based on Lightweight Model With Multiscale Features
Zong Meng, Cheng Luo, Jimeng Li, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 12, pp. 13236-13247
Closed Access | Times Cited: 21
Prediction of Remaining Useful Life of Rolling Bearings Based on Multiscale Efficient Channel Attention CNN and Bidirectional GRU
Ping Ma, Guangfu Li, Hongli Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access | Times Cited: 11
Wind turbine fault detection based on the transformer model using SCADA data
Jorge Maldonado-Correa, Joel Torres-Cabrera, Sergio Martín‐Martínez, et al.
Engineering Failure Analysis (2024) Vol. 162, pp. 108354-108354
Open Access | Times Cited: 10
Multi-feature spaces cross adaption transfer learning-based bearings piece-wise remaining useful life prediction under unseen degradation data
Zejian Li, De-Jun Cheng, Han-Bing Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102413-102413
Closed Access | Times Cited: 9
Data-model-linked remaining useful life prediction method with small sample data: A case of subsea valve
Xiaoyan Shao, Baoping Cai, Lei Gao, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110323-110323
Closed Access | Times Cited: 7
A consistency regularization based semi-supervised learning approach for intelligent fault diagnosis of rolling bearing
Kun Yu, Hui Ma, Tian Ran Lin, et al.
Measurement (2020) Vol. 165, pp. 107987-107987
Closed Access | Times Cited: 64
Remaining useful life prediction of induction motors using nonlinear degradation of health index
Feng Yang, Mohamed Habibullah, Yan Shen
Mechanical Systems and Signal Processing (2020) Vol. 148, pp. 107183-107183
Closed Access | Times Cited: 54
An online transfer learning-based remaining useful life prediction method of ball bearings
Fuchuan Zeng, Yiming Li, Yuhang Jiang, et al.
Measurement (2021) Vol. 176, pp. 109201-109201
Closed Access | Times Cited: 50
Deep transfer learning based on dynamic domain adaptation for remaining useful life prediction under different working conditions
Han Cheng, Xianguang Kong, Qibin Wang, et al.
Journal of Intelligent Manufacturing (2021) Vol. 34, Iss. 2, pp. 587-613
Closed Access | Times Cited: 47
Adaptive sensitive frequency band selection for VMD to identify defective components of an axial piston pump
Anil Kumar, Chander Parkash, Hesheng Tang, et al.
Chinese Journal of Aeronautics (2021) Vol. 35, Iss. 1, pp. 250-265
Open Access | Times Cited: 41
Fault diagnosis of rolling bearing based on online transfer convolutional neural network
Quansheng Xu, Zhu Bo, Hanbing Huo, et al.
Applied Acoustics (2022) Vol. 192, pp. 108703-108703
Closed Access | Times Cited: 32
The Bearing Faults Detection Methods for Electrical Machines—The State of the Art
Muhammad Amir Khan, Bilal Asad, Karolina Kudelina, et al.
Energies (2022) Vol. 16, Iss. 1, pp. 296-296
Open Access | Times Cited: 32
Hybrid scheme through read-first-LSTM encoder-decoder and broad learning system for bearings degradation monitoring and remaining useful life estimation
Yongmeng Zhu, Jiechang Wu, Xing Liu, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 102014-102014
Open Access | Times Cited: 19

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