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:

Multi-sensor data fusion and bidirectional-temporal attention convolutional network for remaining useful life prediction of rolling bearing
Haopeng Liang, Jie Cao, Xiaoqiang Zhao
Measurement Science and Technology (2023) Vol. 34, Iss. 10, pp. 105126-105126
Closed Access | Times Cited: 13

Showing 13 citing articles:

Wear life prediction of piston ring and cylinder liner based on integration of experiment and bench test data
Peijian Guo, Zhijun Yan, Jiujun Xu, et al.
Engineering Failure Analysis (2024) Vol. 161, pp. 108259-108259
Closed Access | Times Cited: 9

A bearing remaining life prediction method under variable operating conditions based on cross-transformer fusioning segmented data cleaning
Dongxiao Hou, Jiahui Chen, Rongcai Cheng, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110021-110021
Closed Access | Times Cited: 6

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: 5

High‐Speed Train Bearing Health Assessment Based on Degradation Stages Through Diagnosis and Prognosis by Using Dual‐Task LSTM With Attention Mechanism
Ali Nawaz Sanjrani, Hong‐Zhong Huang, Sadiq Ali Shah, et al.
Quality and Reliability Engineering International (2025)
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

Cross-domain remaining useful life prediction for rolling bearings based on wavelet decomposition and dynamic calibrated domain adaptive networks
Yazhou Zhang, Xiaoqiang Zhao, Zhenrui Peng, et al.
Measurement (2025), pp. 117278-117278
Closed Access

Operation stage division and RUL prediction of bearings based on 1DCNN-ON-LSTM
Runxia Guo, Haonan Li, Chao Huang
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025035-025035
Closed Access | Times Cited: 6

Remaining Useful Life Prediction Based on Time-Series Features and Conformalized Quantile Regression
Song Mao, Xiaofeng Li, Boyang Zhao
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 126113-126113
Closed Access | Times Cited: 1

Performance degradation prediction of rolling bearing based on temporal graph convolutional neural network
Yaping Wang, Zunshan Xu, Songtao Zhao, et al.
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 8, pp. 4019-4036
Closed Access

Air turbine starter remaining useful life prediction for bearing based on an improved temporal convolutional network
Runxia Guo, Y. Y. Yang, Chao Huang
Transactions of the Institute of Measurement and Control (2024)
Closed Access

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