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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 bearings based on TCN-MSA
Guang‐Jun Jiang, Zheng-Wei Duan, Qi Zhao, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025125-025125
Closed Access | Times Cited: 18

Showing 18 citing articles:

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
Bayesian Fusion of Degradation and Failure Time Data for Reliability Assessment of Industrial Equipment Considering Individual Differences
Guo‐Zhong Fu, Xian Zhang, Wei Li, et al.
Processes (2024) Vol. 12, Iss. 2, pp. 268-268
Open 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
Remaining useful life prediction of rolling bearing based on multi-region hypergraph self-attention network
Jianhua Zhong, Haifeng Jiang, Kairong Gu, et al.
Mechanical Systems and Signal Processing (2025) Vol. 225, pp. 112331-112331
Closed Access
Novel practical predictive maintenance measurement solutions for industrial systems
Ke Feng, Ting-Yang Yu, Qing Ni, et al.
Measurement Science and Technology (2025) Vol. 36, Iss. 2, pp. 020203-020203
Closed Access
A Global Attention based Gated Temporal Convolutional Network for Machine Remaining Useful Life Prediction
Xinyao Xu, Zhou Xiaolei, Qiang Fan, et al.
Reliability Engineering & System Safety (2025), pp. 110997-110997
Closed Access
A dual‐channel transferable RUL prediction method integrated with Bayesian deep learning and domain adaptation for rolling bearings
Junyu Guo, Zhiyuan Wang, Yulai Yang, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 5, pp. 2348-2366
Closed Access | Times Cited: 4
Causal dilated Convolution-Based residual DenseNet with channel attention for RUL prediction of rolling bearings
Jimeng Li, Wanmeng Ding, Weilin Mao, et al.
Measurement (2024) Vol. 235, pp. 115012-115012
Closed Access | Times Cited: 4
Rolling Bearing RUL Prediction Based on Fusion of Multi-Head Attention and Improved TCN-BiLSTM
Guo Yuan, Jun Zhou, Zhenbiao Dong, et al.
IEEE Access (2024) Vol. 12, pp. 95641-95658
Open Access | Times Cited: 3
A novel intelligent fault diagnosis method of rolling bearings based on capsule network with Fast Routing algorithm
Guang‐Jun Jiang, Dezhi Li, Qi Li, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 5, pp. 2235-2255
Closed Access | Times Cited: 2
A Novel Remaining Useful Life Prediction Approach Combined eXtreme Gradient Boosting and Multi-Quantile Recurrent Neural Network
Yantao Yin, Jianyin Zhao, Xiao Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 44648-44658
Open Access | Times Cited: 1
A novel cross-domain adaption network based on Se-Sk-DenseNet for remaining useful life prediction of rolling bearings under different working conditions
Baosu Guo, Hang Li, Hao Dong, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076114-076114
Open Access
A hybrid reliability assessment method based on health index construction and reliability modeling for rolling bearing
Yuan‐Jian Yang, Chengyuan Ma, G Liu, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 8, pp. 4131-4146
Closed Access
Deep Learning Prediction of Moisture and Color Kinetics of Apple Slices by Long Short-Term Memory as Affected by Blanching and Hot-Air Drying Conditions
Zehui Jia, Yanhong Liu, Hong‐Wei Xiao
Processes (2024) Vol. 12, Iss. 8, pp. 1724-1724
Open Access
Remaining useful life prediction method of bearings based on the interactive learning strategy
Hao Wang, Jing An, Jun Yang, et al.
Computers & Electrical Engineering (2024) Vol. 121, pp. 109853-109853
Closed Access
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
Enhanced Remaining Useful Life Prediction of Rolling Bearings Through a Hybrid Gamma Process and Sa-Bitg Mechanism
Hongchuan Cheng, Guilong Fu, Zhaoyang Shi, et al.
(2024)
Closed Access
A novel remaining useful life prediction method under multiple operating conditions based on attention mechanism and deep learning
Jie Wang, Lu Zhong, Jia Zhou, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103083-103083
Closed Access
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