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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:

Remaining useful life prediction of rolling bearing based on multi-head attention embedded Bi-LSTM network
Yizhe Shen, Baoping Tang, Biao Li, et al.
Measurement (2022) Vol. 202, pp. 111803-111803
Closed Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Trend-augmented and temporal-featured Transformer network with multi-sensor signals for remaining useful life prediction
Yuru Zhang, Chun Su, Jiajun Wu, et al.
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109662-109662
Closed Access | Times Cited: 45
Digital twin-driven graph domain adaptation neural network for remaining useful life prediction of rolling bearing
Lingli Cui, Yongchang Xiao, Dongdong Liu, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109991-109991
Closed Access | Times Cited: 41
Prediction of bearing remaining useful life based on DACN-ConvLSTM model
Guopeng Zhu, Zening Zhu, Ling Xiang, et al.
Measurement (2023) Vol. 211, pp. 112600-112600
Closed Access | Times Cited: 40
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
An ensembled remaining useful life prediction method with data fusion and stage division
Yajing Li, Zhijian Wang, Feng Li, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109804-109804
Closed Access | Times Cited: 23
Physics-informed multi-state temporal frequency network for RUL prediction of rolling bearings
Shilong Yang, Baoping Tang, Weiying Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109716-109716
Closed Access | Times Cited: 22
A regularized constrained two-stream convolution augmented Transformer for aircraft engine remaining useful life prediction
Jiangyan Zhu, Jun Ma, Jiande Wu
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108161-108161
Closed Access | Times Cited: 12
A Federated Learning-Based Industrial Health Prognostics for Heterogeneous Edge Devices Using Matched Feature Extraction
Anushiya Arunan, Yan Qin, Xiaoli Li, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 3, pp. 3065-3079
Open Access | Times Cited: 20
RUL prediction method for rolling bearing using convolutional denoising autoencoder and bidirectional LSTM
Xuejian Yao, Junjun Zhu, Quan Jiang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 035111-035111
Closed Access | Times Cited: 17
A Remaining Useful Life Prediction Method of Rolling Bearings Based on Deep Reinforcement Learning
Zheng Guokang, Yasong Li, Zheng Zhou, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 22938-22949
Closed Access | Times Cited: 6
Illuminating Healthcare Management: A Comprehensive Review of IoT-Enabled Chronic Disease Monitoring
Mir Sajjad Hussain Talpur, Abdul Ahad Abro, Mansoor Ebrahim, et al.
IEEE Access (2024) Vol. 12, pp. 48189-48209
Closed Access | Times Cited: 5
Deep learning-based automated identification on vortex-induced vibration of long suspenders for the suspension bridge
Xun Su, Jianxiao Mao, Hao Wang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112070-112070
Closed Access | Times Cited: 5
Dynamic normalized health indicator construction and Bayesian recurrent state estimation for remaining useful life prediction of high-speed bearings in wind turbine drivetrain
Xilin Li, Wei Teng, Yangyang Zhang, et al.
Measurement (2025) Vol. 246, pp. 116725-116725
Closed Access
A novel cross-scenario transferable RUL prediction network with multisource domain meta transfer learning for wind turbine bearings
Lixiao Cao, Xue‐Ping Wang, Hongyu Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-9
Closed Access
A review of prognostics and health management techniques in wind energy
Jokin Cuesta, Urko Leturiondo, Yolanda Vidal, et al.
Reliability Engineering & System Safety (2025), pp. 111004-111004
Closed Access
Lithium-ion batteries remaining useful life prediction using a parallel BILSTM-MHA neural network based on a CEEMDAN module
Chaoqun Duan, Hengrui Cao, Fuqiang Liu, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access
Remaining useful life prediction of bearings using a trend memory attention-based GRU network
Jingwei Li, Sai Li, Yajun Fan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 055001-055001
Open Access | Times Cited: 4
A lifetime prediction model based on two-path convolution with attention mechanism and bidirectional long short-term memory network
Xianbin Sun, Meiqi Dong, Lin Bai, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056120-056120
Closed Access | Times Cited: 4
Using Explainable Artificial Intelligence (Xai) to Understand Compound Flooding Arising from Rainstorms and Tides
Chengguang Lai, Yuhong Liao, Zhaoli Wang, et al.
(2025)
Closed Access
Research on the optimization of mortar mix proportion based on neural network models and genetic algorithm
Chunyu Jiang
Frontiers in Physics (2025) Vol. 13
Open Access
Multilayer-graph-embedded extreme learning machine for performance degradation prognosis of bearing
Mingkuan Shi, Chuancang Ding, Hongbo Que, et al.
Measurement (2022) Vol. 207, pp. 112299-112299
Closed Access | Times Cited: 19
A Data-Driven Method and Hybrid Deep Learning Model for Flood Risk Prediction
Chenmin Ni, Fam Pei Shan, Muhammad Fadhil Marsani
International Journal of Intelligent Systems (2024) Vol. 2024, pp. 1-20
Open Access | Times Cited: 3
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 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
Remaining useful life prediction for bearing based on automatic feature combination extraction and residual multi-Head attention GRU network
Jiawen He, Xu Zhang, Xuechang Zhang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 036003-036003
Closed Access | Times Cited: 8
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