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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:

Transfer learning for remaining useful life prediction of multi-conditions bearings based on bidirectional-GRU network
Yudong Cao, Minping Jia, Peng Ding, et al.
Measurement (2021) Vol. 178, pp. 109287-109287
Closed Access | Times Cited: 142

Showing 51-75 of 142 citing articles:

Leveraging working-condition-related features for enhanced cross-domain remaining useful life prediction of aircraft engines
Zhiyao Zhang, Jia Cheng, Pengpeng Chen, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access
Rolling bearing remaining useful life prediction using deep learning based on high-quality representation
Chenyang Wang, Wanlu Jiang, Lei Shi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Automatic Detection for Cropland Destruction and Reclamation in Coal‐Grain Composite Region Using Long‐Term Landsat Imagery
Kegui Jiang, Keming Yang, Mengting Gao, et al.
Land Degradation and Development (2025)
Closed Access
Bridging geological domain gaps in fluid classification using siamese networks and cross-domain adaptation
Hengxiao Li, Sibo Qiao
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
A multi-scale deep learning model with a two-stream temporal attention mechanism for matte temperature soft sensor in flash smelting
Zhou Zou, Can Zhou
Expert Systems with Applications (2025), pp. 127322-127322
Closed Access
Residual Life Prediction of Bearings Based on SENet-TCN and Transfer Learning
Yan Wang, Hua Ding, Xiaochun Sun
IEEE Access (2022) Vol. 10, pp. 123007-123019
Open Access | Times Cited: 20
Additive manufacturing energy consumption measurement and prediction in fabricating lattice structure based on recallable multimodal fusion network
Kang Wang, Youyi Song, Zhihao Huang, et al.
Measurement (2022) Vol. 196, pp. 111215-111215
Closed Access | Times Cited: 19
Conditional variational transformer for bearing remaining useful life prediction
Yupeng Wei, Dazhong Wu
Advanced Engineering Informatics (2023) Vol. 59, pp. 102247-102247
Open Access | Times Cited: 12
Prognostics and health management for induction machines: a comprehensive review
Chao Huang, Siqi Bu, Hiu Hung Lee, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 3, pp. 937-962
Closed Access | Times Cited: 11
A stacked ensemble method based on TCN and convolutional bi-directional GRU with multiple time windows for remaining useful life estimation
Jun Guo, Dapeng Li, Baigang Du
Applied Soft Computing (2023) Vol. 150, pp. 111071-111071
Closed Access | Times Cited: 11
A new domain adaption residual separable convolutional neural network model for cross-domain remaining useful life prediction
Chengying Zhao, Xianzhen Huang, Shangjie Li, et al.
ISA Transactions (2023) Vol. 145, pp. 239-252
Closed Access | Times Cited: 11
An Optimal-Subdomain Generalization Method for Remaining Useful Life Prediction of Machinery Under Time-Varying Operation Conditions
Xiaofei Liu, Yaguo Lei, Naipeng Li, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 4, pp. 6177-6186
Closed Access | Times Cited: 11
Semi-supervised double attention guided assessment approach for remaining useful life of rotating machinery
Jichao Zhuang, Minping Jia, Yudong Cao, et al.
Reliability Engineering & System Safety (2022) Vol. 226, pp. 108685-108685
Closed Access | Times Cited: 17
A multi-model data-fusion based deep transfer learning for improved remaining useful life estimation for IIOT based systems
Sourajit Behera, Rajiv Misra
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105712-105712
Closed Access | Times Cited: 17
Research on Prediction Method of Gear Pump Remaining Useful Life Based on DCAE and Bi-LSTM
Chenyang Wang, Wanlu Jiang, Yi Yue, et al.
Symmetry (2022) Vol. 14, Iss. 6, pp. 1111-1111
Open Access | Times Cited: 16
Deep Domain-Invariant Long Short-Term Memory Network for Partial Discharge Localization in Gas-Insulated Switchgear
Yanxin Wang, Jing Yan, Zhou Yang, et al.
IEEE Transactions on Power Delivery (2023) Vol. 38, Iss. 4, pp. 2810-2820
Closed Access | Times Cited: 9
Data privacy protection health status assessment for rotating machinery with dual-task feature fusion framework
Xin He, Wei Zhou, Zhen Luo, et al.
Neurocomputing (2024) Vol. 582, pp. 127464-127464
Closed Access | Times Cited: 3
Successive model-agnostic meta-learning for few-shot fault time series prognosis
Hai Su, Jiajun Hu, Songsen Yu, et al.
Neurocomputing (2024) Vol. 595, pp. 127879-127879
Open Access | Times Cited: 3
Feature structured domain adaptation for quality prediction of cross working conditions in industrial processes
He Ding, Kuangrong Hao, Lei Chen, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 887-900
Closed Access | Times Cited: 3
Remaining Useful Life Prediction Based on Deep Learning: A Survey
Fuhui Wu, Qingbo Wu, Yusong Tan, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3454-3454
Open Access | Times Cited: 3
A novel spatio-temporal characteristic extraction network for bearing remaining useful life prediction
Li Jiang, Biaobiao Cao, Xin Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116142-116142
Open Access | Times Cited: 3
Data-driven remaining useful life prediction based on domain adaptation
Bin Wen, Ming Xiao, Xue qi Wang, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e690-e690
Open Access | Times Cited: 21
A Convolutional Transformer Architecture for Remaining Useful Life Estimation
Yifei Ding, Minping Jia
2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing) (2021), pp. 1-7
Closed Access | Times Cited: 20
SACGNet: A Remaining Useful Life Prediction of Bearing with Self-Attention Augmented Convolution GRU Network
Juan Xu, Shiyu Duan, Weiwei Chen, et al.
Lubricants (2022) Vol. 10, Iss. 2, pp. 21-21
Open Access | Times Cited: 15
STCGCN: a spatio-temporal complete graph convolutional network for remaining useful life prediction of power transformer
Mengda Xing, Weilong Ding, Tianpu Zhang, et al.
International Journal of Web Information Systems (2023) Vol. 19, Iss. 2, pp. 102-117
Closed Access | Times Cited: 8

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