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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:

Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model
Mingming Yan, Xingang Wang, Bingxiang Wang, et al.
ISA Transactions (2019) Vol. 98, pp. 471-482
Closed Access | Times Cited: 187

Showing 1-25 of 187 citing articles:

Transfer learning for remaining useful life prediction of multi-conditions bearings based on bidirectional-GRU network
Yudong Cao, Minping Jia, Peng Ding, et al.
Measurement (2021) Vol. 178, pp. 109287-109287
Closed Access | Times Cited: 142
Transfer learning algorithms for bearing remaining useful life prediction: A comprehensive review from an industrial application perspective
Jiaxian Chen, Ruyi Huang, Zhuyun Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 193, pp. 110239-110239
Closed Access | Times Cited: 101
A Calibration-Based Hybrid Transfer Learning Framework for RUL Prediction of Rolling Bearing Across Different Machines
Yafei Deng, Shichang Du, Dong Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-15
Closed Access | Times Cited: 86
Bearing remaining useful life prediction using self-adaptive graph convolutional networks with self-attention mechanism
Yupeng Wei, Dazhong Wu, Janis Terpenny
Mechanical Systems and Signal Processing (2022) Vol. 188, pp. 110010-110010
Closed Access | Times Cited: 71
LSTM networks based on attention ordered neurons for gear remaining life prediction
Sheng Xiang, Yi Qin, Caichao Zhu, et al.
ISA Transactions (2020) Vol. 106, pp. 343-354
Closed Access | Times Cited: 84
Adaptive Weighted Signal Preprocessing Technique for Machine Health Monitoring
Bingchang Hou, Dong Wang, Yi Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-11
Closed Access | Times Cited: 80
Predictive Maintenance for Pump Systems and Thermal Power Plants: State-of-the-Art Review, Trends and Challenges
Jonas Fausing Olesen, Hamid Reza Shaker
Sensors (2020) Vol. 20, Iss. 8, pp. 2425-2425
Open Access | Times Cited: 79
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: 75
Wiener-based remaining useful life prediction of rolling bearings using improved Kalman filtering and adaptive modification
Yuxiong Li, Xianzhen Huang, Pengfei Ding, et al.
Measurement (2021) Vol. 182, pp. 109706-109706
Closed Access | Times Cited: 69
Long-range dependence and heavy tail characteristics for remaining useful life prediction in rolling bearing degradation
Wanqing Song, Liu He, Enrico Zio
Applied Mathematical Modelling (2021) Vol. 102, pp. 268-284
Closed Access | Times Cited: 69
RUL Prediction of Wind Turbine Gearbox Bearings Based on Self-Calibration Temporal Convolutional Network
Ke B. He, Zuqiang Su, Xiaoqing Tian, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Closed Access | Times Cited: 62
Bearing Remaining Useful Life Prediction Based on Regression Shapalet and Graph Neural Network
Xiaoyu Yang, Ying Zheng, Yong Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Closed Access | Times Cited: 55
A Systematic Guide for Predicting Remaining Useful Life with Machine Learning
Tarek Berghout, Mohamed Benbouzid
Electronics (2022) Vol. 11, Iss. 7, pp. 1125-1125
Open Access | Times Cited: 51
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
Incremental Learning for Remaining Useful Life Prediction via Temporal Cascade Broad Learning System With Newly Acquired Data
Yudong Cao, Minping Jia, Peng Ding, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 4, pp. 6234-6245
Closed Access | Times Cited: 37
A two-stage data-driven approach to remaining useful life prediction via long short-term memory networks
Huixin Zhang, Xiaopeng Xi, Rong Pan
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109332-109332
Closed Access | Times Cited: 37
Complex domain extension network with multi-channels information fusion for remaining useful life prediction of rotating machinery
Yudong Cao, Minping Jia, Yifei Ding, et al.
Mechanical Systems and Signal Processing (2023) Vol. 192, pp. 110190-110190
Closed Access | Times Cited: 26
A two-phase-based deep neural network for simultaneous health monitoring and prediction of rolling bearings
Rui Bai, Khandaker Noman, Ke Feng, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109428-109428
Closed Access | Times Cited: 23
Deep transfer learning-based hierarchical adaptive remaining useful life prediction of bearings considering the correlation of multistage degradation
Han-Bing Zhang, De-Jun Cheng, Kaili Zhou, et al.
Knowledge-Based Systems (2023) Vol. 266, pp. 110391-110391
Closed Access | Times Cited: 22
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
Rolling bearing fault diagnosis based on RQA with STD and WOA-SVM
Wentao Qiu, Bing Wang, Xiong Hu
Heliyon (2024) Vol. 10, Iss. 4, pp. e26141-e26141
Open Access | Times Cited: 9
A dual-stream spatio-temporal fusion network with multi-sensor signals for remaining useful life prediction
Qiang Zhang, Peixuan Yang, Qiong Liu
Journal of Manufacturing Systems (2024) Vol. 76, pp. 43-58
Closed Access | Times Cited: 7
A generalized cauchy method for remaining useful life prediction of wind turbine gearboxes
He Liu, Wanqing Song, Yuhui Niu, et al.
Mechanical Systems and Signal Processing (2020) Vol. 153, pp. 107471-107471
Closed Access | Times Cited: 62
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
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
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