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 bidirectional recursive gated dual attention unit based RUL prediction approach
Lei Yang, Yuhe Liao, Rongkai Duan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105885-105885
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

An attention-based temporal convolutional network method for predicting remaining useful life of aero-engine
Qiang Zhang, Qiong Liu, Ye Qin
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107241-107241
Closed Access | Times Cited: 38

A new multi-sensor fusion with hybrid Convolutional Neural Network with Wiener model for remaining useful life estimation
Long Wen, Shaoquan Su, Wang Bin, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106934-106934
Closed Access | Times Cited: 31

Dynamic weighted federated remaining useful life prediction approach for rotating machinery
Yi Qin, Jiahong Yang, Jianghong Zhou, et al.
Mechanical Systems and Signal Processing (2023) Vol. 202, pp. 110688-110688
Closed Access | Times Cited: 22

A novel framework based on two-stage multi-view feature optimization and improved support vector data description for aeroengine bearing early fault detection
Zhaoguo Hou, Huawei Wang, Yubin Yue, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110027-110027
Closed Access | Times Cited: 10

A dynamic spectrum loss generative adversarial network for intelligent fault diagnosis with imbalanced data
Xin Wang, Hongkai Jiang, Yunpeng Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106872-106872
Closed Access | Times Cited: 16

Systematic review of predictive maintenance and digital twin technologies challenges, opportunities, and best practices
Nur Haninie Abd Wahab, Khairunnisa Hasikin‬, Khin Wee Lai, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1943-e1943
Open Access | Times Cited: 5

Remaining Useful Life Estimation of Lithium-Ion Batteries Based on Small Sample Models
Lu Liu, Wei Sun, Chuanxu Yue, et al.
Energies (2024) Vol. 17, Iss. 19, pp. 4932-4932
Open Access | Times Cited: 5

A two-stage framework for predicting the remaining useful life of bearings
Xianbiao Zhan, Zixuan Liu, Hao Yan, et al.
Open Physics (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 4

GRU-AE-wiener: A generative adversarial network assisted hybrid gated recurrent unit with Wiener model for bearing remaining useful life estimation
Long Wen, Shaoquan Su, Xinyu Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111663-111663
Closed Access | Times Cited: 4

Efficient Tomato Disease Detection Using MaxMin-Diffusion Mechanism and Lightweight Techniques
Haoxin Guo, Jiarui Liu, Yan Li, et al.
Plants (2025) Vol. 14, Iss. 3, pp. 354-354
Open Access

Deep learning-stochastic ensemble for RUL prediction and predictive maintenance with dynamic mission abort policies
A. Faizanbasha, U. Rizwan
Reliability Engineering & System Safety (2025), pp. 110919-110919
Closed Access

Enhanced deep learning framework for accurate near-failure RUL prediction of bearings in varying operating conditions
Anil Kumar, Chander Parkash, Pradeep Kundu, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103231-103231
Closed Access

Robust prediction of remaining useful lifetime of bearings using deep learning
L. Magadán, Juan C. Granda, Francisco J. Suárez
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107690-107690
Open Access | Times Cited: 10

Remaining life prediction of rolling bearings with secondary feature selection and BSBiLSTM
Feng Song, Zhihai Wang, Xiaoqin Liu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076127-076127
Closed 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

A Multi-channel Long-term External Attention Network for Aeroengine Remaining Useful Life Prediction
Xuezhen Liu, Yongyi Chen, Dan Zhang, et al.
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 10, pp. 5130-5140
Closed Access | Times Cited: 2

A knowledge-data integration framework for rolling element bearing RUL prediction across its life cycle
Lei Yang, Tuojian Li, Yue Dong, et al.
ISA Transactions (2024) Vol. 152, pp. 331-357
Closed Access | Times Cited: 2

A novel two-stage method via adversarial strategy for remaining useful life prediction of bearings under variable conditions
Yang Liu, Guanghui Zhou, Shujian Zhao, et al.
Reliability Engineering & System Safety (2024), pp. 110602-110602
Closed Access | Times Cited: 2

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 prognostics of bearings based on convolution attention networks and enhanced Transformer
Sun Ning, Jiahui Tang, Xiaoling Ye, et al.
Heliyon (2024) Vol. 10, Iss. 19, pp. e38317-e38317
Open Access | Times Cited: 1

A Novel Method for Multistage Degradation Predicting the Remaining Useful Life of Wind Turbine Generator Bearings Based on Domain Adaptation
Miao Tian, Xiaoming Su, Changzheng Chen, et al.
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12332-12332
Open Access | Times Cited: 3

Enhanced Gaussian process dynamical modeling for battery health status forecasting
Wei Xing, Zhisheng Zhang, A.A. Shah
Renewable and Sustainable Energy Reviews (2024) Vol. 208, pp. 115045-115045
Closed Access

Remaining Life Prediction Modeling Method for Rotating Components of Complex Intelligent Equipment
Yaohua Deng, Zilin Zhang, Hao Huang, et al.
Electronics (2024) Vol. 14, Iss. 1, pp. 136-136
Open Access

A method based on DWRNet and MGAU for RUL prediction of bearing with few samples
Xiaoxia Yu, Zhigang Zhang, Baoping Tang, et al.
Journal of Vibration and Control (2024)
Closed Access

PMTT: Parallel multi-scale temporal convolution network and transformer for predicting the time to aging failure of software systems
Kai Jia, Xiao Yu, Chen Zhang, et al.
Journal of Systems and Software (2024) Vol. 217, pp. 112167-112167
Closed Access

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