Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 Synthetic Feature Processing Method for Remaining Useful Life Prediction of Rolling Bearings
Jinhua Mi, Lulu Liu, Yonghao Zhuang, et al.
IEEE Transactions on Reliability (2022) Vol. 72, Iss. 1, pp. 125-136
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis
Huixing Meng, Mengyao Geng, Te Han
Reliability Engineering & System Safety (2023) Vol. 236, pp. 109288-109288
Closed Access | Times Cited: 130
Rolling bearing remaining useful life prediction based on dilated causal convolutional DenseNet and an exponential model
Wanmeng Ding, Jimeng Li, Weilin Mao, et al.
Reliability Engineering & System Safety (2022) Vol. 232, pp. 109072-109072
Closed Access | Times Cited: 53
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: 13
A novel machinery RUL prediction method based on exponential model and cross-domain health indicator considering first-to-end prediction time
Xuewu Pei, Xinyu Li, Liang Gao
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111122-111122
Closed Access | Times Cited: 10
Towards trustworthy remaining useful life prediction through multi-source information fusion and a novel LSTM-DAU model
Rui Bai, Khandaker Noman, Yu Yang, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110047-110047
Closed Access | Times Cited: 8
Remaining Useful Life Prediction for Bearing Based on Coupled Diffusion Process and Temporal Attention
Yixiang Lu, D. S. Tang, De Zhu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 6
A comprehensive survey of machine remaining useful life prediction approaches based on pattern recognition: taxonomy and challenges
Jianghong Zhou, Jiahong Yang, Quan Qian, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 062001-062001
Closed Access | Times Cited: 6
A remaining useful life prediction framework with adaptive dynamic feedback
Zhijian Wang, Zhuotao Xu, Yan‐Feng Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 218, pp. 111595-111595
Closed Access | Times Cited: 4
Remaining useful life prediction of rolling bearing via composite multiscale permutation entropy and Elman neural network
Yongjian Sun, Zihan Wang
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108852-108852
Closed Access | Times Cited: 4
Prediction of bearing remaining useful life based on an improved GRU
Xi Yang, Chuanbo Wen
(2025), pp. 56-56
Closed Access
Designing an efficient Deep Dyna Q based VARMAx Model for Prediction of Real-Time changes in Stock Value Patterns
Rachna Sable, Aman Pratap Singh, Sudhanshu Gupta, et al.
Research Square (Research Square) (2025)
Closed Access
An intelligent data-driven adaptive health state assessment approach for rolling bearings under single and multiple working conditions
Wenqin Zhao, Yaqiong Lv, C.K.M. Lee, et al.
Computers & Industrial Engineering (2025), pp. 110988-110988
Closed Access
Remaining useful life estimation of bearing via temporal convolutional networks enhanced by a gated convolutional unit
Yujie Qin, Fanfan Gan, Baizhan Xia, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108308-108308
Closed Access | Times Cited: 3
Prediction of Remaining Useful Life of Railway Tracks based on DMGDCC-GRU Hybrid Model and Transfer Learning
Jianhua Liu, Dongchen Du, Jing He, et al.
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 6, pp. 7561-7575
Closed Access | Times Cited: 2
Continuous Remaining Useful Life Prediction by Self-Guided Attention Convolutional Neural Network and Memory Consciousness Adjustment
Jianghong Zhou, Junyu Qi, Dingliang Chen, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 19, pp. 31947-31958
Closed Access | Times Cited: 2
Kriging‐based reliability analysis for a multi‐output structural system with multiple response Gaussian process
Huaming Qian, Jing Wei, Hong‐Zhong Huang, et al.
Quality and Reliability Engineering International (2023) Vol. 39, Iss. 5, pp. 1622-1638
Closed Access | Times Cited: 6
A Hybrid Approach for Predicting the Remaining Useful Life of Bearings Based on the RReliefF Algorithm and Extreme Learning Machine
Senhui Wang, Xi Kang, Cheng Wang, et al.
Computer Modeling in Engineering & Sciences (2024) Vol. 140, Iss. 2, pp. 1405-1427
Open Access | Times Cited: 1
Enhanced fault diagnosis and remaining useful life prediction of rolling bearings using a hybrid multilayer perceptron and LSTM network model
Kumaran Bharatheedasan, Tanmoy Maity, L.A. Kumaraswamidhas, et al.
Alexandria Engineering Journal (2024) Vol. 115, pp. 355-369
Closed Access | Times Cited: 1
Real‐time assessment on health state for bearing based on parallel encoder‐decoder observer
Kunpeng Li, Jinhua Mi, Zhiguo Wang, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 5, pp. 2276-2291
Closed Access | Times Cited: 1
A novel exponential degradation approach for predicting the remaining useful life of roadheader bearings
Qiang Liu, Songyong Liu, Qianjin Dai, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 3, pp. 035114-035114
Closed Access | Times Cited: 7
Multi-Head Attention Network with Adaptive Feature Selection for RUL Predictions of Gradually Degrading Equipment
Lei Nie, Shiyi Xu, Lvfan Zhang
Actuators (2023) Vol. 12, Iss. 4, pp. 158-158
Open Access | Times Cited: 3
A Shape-constrained Transfer Temporal Transformer Network for remaining useful life prediction of rotating machines
Wenbin Song, Yiming He, Xinyu Li, et al.
Measurement (2023) Vol. 224, pp. 113857-113857
Closed Access | Times Cited: 2
A novel fault diagnosis method for imbalanced datasets based on MCNN‐Transformer model in industrial processes
R.M.T. Lu
International Journal of Adaptive Control and Signal Processing (2024)
Closed Access
Rolling bearing remaining useful life prediction method based on vibration signal and mechanism model
Xiuliang Zhao, Ye Yang, Qian Huang, et al.
Applied Acoustics (2024) Vol. 228, pp. 110334-110334
Closed Access
A New Heavy-Duty Bearing Degradation Evaluation Method with Multi-Domain Features
Ruolan Xiong, Aihua Liu, Dongfang Xu, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7769-7769
Open Access
Page 1 - Next Page

Scroll to top