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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:

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

Showing 1-25 of 35 citing articles:

A deep feature learning method for remaining useful life prediction of drilling pumps
Junyu Guo, Jia‐Lun Wan, Yan Yang, et al.
Energy (2023) Vol. 282, pp. 128442-128442
Closed Access | Times Cited: 54
A parallel deep neural network for intelligent fault diagnosis of drilling pumps
Junyu Guo, Yulai Yang, He Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108071-108071
Open Access | Times Cited: 43
Remaining Useful Life Prediction of Rolling Bearings Based on CBAM-CNN-LSTM
Bo Sun, Wenting Hu, Hao Wang, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 554-554
Open Access | Times Cited: 1
A deep learning based health indicator construction and fault prognosis with uncertainty quantification for rolling bearings
Zhiyuan Wang, Junyu Guo, Jiang Wang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 10, pp. 105105-105105
Closed Access | Times Cited: 22
Multiaxial low-cycle fatigue life model for notched specimens considering small sample characteristics
Shenglei Wu, Jianhui Liu, Shaobin Wang, et al.
International Journal of Structural Integrity (2024) Vol. 15, Iss. 5, pp. 948-973
Closed Access | Times Cited: 7
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
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: 6
Enhancing Rolling Bearing Fault Diagnosis in Motors using the OCSSA-VMD-CNN-BiLSTM Model: A Novel Approach for Fast and Accurate Identification
Chang Yong, Guangqing Bao
IEEE Access (2024) Vol. 12, pp. 78463-78479
Open Access | Times Cited: 6
Multi-stage degradation feature with dynamic feedback mechanism for remaining useful life prediction
Chaoge Wang, Jiechen Sun, Xiangyi Meng, et al.
Nondestructive Testing And Evaluation (2025), pp. 1-34
Closed Access
Prediction of Residual Life of Rolling Bearings Based on Multi-Scale Improved Temporal Convolutional Network (MITCN) Model
Kaiwen Xia, Q. Li, Liangliang Han, et al.
Machines (2025) Vol. 13, Iss. 2, pp. 137-137
Open Access
Residual Life Prediction of Rolling Bearings Driven by Digital Twins
Jiayi Fan, Lijuan Zhao, Minghao Li
Symmetry (2025) Vol. 17, Iss. 3, pp. 406-406
Open Access
A WOA-SVMD and multi-scale CNN-transformer method for fault diagnosis of motor bearing
Zejiang Xu, Jili Tao, Y. Hu, et al.
Measurement and Control (2025)
Open 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
A physically interpretable entropy-based model for monitoring rubber wear under water-lubricated conditions
Bolin Chen, Xiaojie Tong, Mengwei Lu, et al.
Ocean Engineering (2025) Vol. 322, pp. 120386-120386
Closed Access
A novel method for identifying sudden degradation changes in remaining useful life prediction for bearing
Xianhua Chen, Zhigang Tian
Expert Systems with Applications (2025), pp. 127315-127315
Open Access
A reliability analysis and optimization method for a turbine shaft under combined high and low cycle fatigue loading
Song Bai, Ying Zeng, Tudi Huang, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 5, pp. 2367-2380
Closed Access | Times Cited: 2
A RUL prediction method of rolling bearings based on degradation detection and deep BiLSTM
Shuang Cai, Jiwang Zhang, Cong Li, et al.
Electronic Research Archive (2024) Vol. 32, Iss. 5, pp. 3145-3161
Open Access | Times Cited: 2
A novel deep time‐index framework with limited data and feature extraction for battery capacity degradation prediction
Wu Wei, Zhe Chen, Linman Li, et al.
Quality and Reliability Engineering International (2023) Vol. 40, Iss. 3, pp. 1127-1147
Open Access | Times Cited: 4
Reliability analysis of rolling bearings considering failure mode correlations
Aodi Yu, Ruixin Ruan, Xubo Zhang, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 6, pp. 3079-3095
Closed Access | Times Cited: 1
Advancements in Bearing Remaining Useful Life Prediction Methods: A Comprehensive Review
Liuyang Song, Tianjiao Lin, Jin Ye, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 092003-092003
Closed Access | Times Cited: 1
Remaining useful life prediction for rolling bearings based on adaptive aggregation of dynamic feature correlations
Sichao Sun, Jie Luo, A. B. Huang, et al.
Journal of Vibration and Control (2024)
Closed Access | Times Cited: 1
Method for remaining useful life prediction of rolling bearings based on deep reinforcement learning
Yipeng Wang, Yonghua Li, Hang Lu, et al.
Review of Scientific Instruments (2024) Vol. 95, Iss. 9
Closed Access | Times Cited: 1
Condition assessment and predictive maintenance for contact probe using health index and encoder‐decoder LSTM model
S.M. Luk, Yanwen Jin, Xiaoge Zhang, et al.
Quality and Reliability Engineering International (2024)
Closed Access | Times Cited: 1
Remaining Useful Life of the Rolling Bearings Prediction Method Based on Transfer Learning Integrated with CNN-GRU-MHA
Jianghong Yu, Jingwei Shao, Xionglu Peng, et al.
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 9039-9039
Open Access | Times Cited: 1
A hybrid algorithm for predicting the remaining service life of hybrid bearings based on bidirectional feature extraction
Bangcheng Zhang, Yuehan Yin, Li Bo, et al.
Measurement (2024) Vol. 242, pp. 116152-116152
Closed Access | Times Cited: 1
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