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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 BiGRU Autoencoder Remaining Useful Life Prediction Scheme With Attention Mechanism and Skip Connection
Yuhang Duan, Honghui Li, Mengqi He, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 9, pp. 10905-10914
Closed Access | Times Cited: 99

Showing 1-25 of 99 citing articles:

Attention mechanism in intelligent fault diagnosis of machinery: A review of technique and application
Haixin Lv, Jinglong Chen, Tongyang Pan, et al.
Measurement (2022) Vol. 199, pp. 111594-111594
Closed Access | Times Cited: 148
Multi-scale integrated deep self-attention network for predicting remaining useful life of aero-engine
Ke Zhao, Zhen Jia, Feng Jia, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105860-105860
Closed Access | Times Cited: 128
Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction
Ruibing Jin, Zhenghua Chen, Keyu Wu, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 82
A Parallel Hybrid Neural Network With Integration of Spatial and Temporal Features for Remaining Useful Life Prediction in Prognostics
Jiusi Zhang, Jilun Tian, Minglei Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 78
A new supervised multi-head self-attention autoencoder for health indicator construction and similarity-based machinery RUL prediction
Yi Qin, Jiahong Yang, Jianghong Zhou, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101973-101973
Closed Access | Times Cited: 51
Deep residual LSTM with domain-invariance for remaining useful life prediction across domains
Song Fu, Yongjian Zhang, Lin Lin, et al.
Reliability Engineering & System Safety (2021) Vol. 216, pp. 108012-108012
Closed Access | Times Cited: 82
Data-Driven Remaining Useful Life Estimation for Milling Process: Sensors, Algorithms, Datasets, and Future Directions
Sameer Sayyad, Satish Kumar, Arunkumar Bongale, et al.
IEEE Access (2021) Vol. 9, pp. 110255-110286
Open Access | Times Cited: 79
A Systematic Guide for Predicting Remaining Useful Life with Machine Learning
Tarek Berghout, Mohamed Benbouzid
Electronics (2022) Vol. 11, Iss. 7, pp. 1125-1125
Open Access | Times Cited: 51
Towards carbon Neutrality: Prediction of wave energy based on improved GRU in Maritime transportation
Zhihan Lv, Nana Wang, Ranran Lou, et al.
Applied Energy (2022) Vol. 331, pp. 120394-120394
Open Access | Times Cited: 43
Multi-dimensional recurrent neural network for remaining useful life prediction under variable operating conditions and multiple fault modes
Yiwei Cheng, Chao Wang, Jun Wu, et al.
Applied Soft Computing (2022) Vol. 118, pp. 108507-108507
Closed Access | Times Cited: 40
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
A spatiotemporal feature learning-based RUL estimation method for predictive maintenance
Ting Wang, Xiang Li, Wei Wang, et al.
Measurement (2023) Vol. 214, pp. 112824-112824
Closed Access | Times Cited: 24
Attention-based Gate Recurrent Unit for remaining useful life prediction in prognostics
Ruiguan Lin, Huawei Wang, Minglan Xiong, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110419-110419
Closed Access | Times Cited: 24
Res-HSA: Residual hybrid network with self-attention mechanism for RUL prediction of rotating machinery
Junjun Zhu, Quan Jiang, Yehu Shen, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106491-106491
Closed Access | Times Cited: 24
An ensembled remaining useful life prediction method with data fusion and stage division
Yajing Li, Zhijian Wang, Feng Li, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109804-109804
Closed Access | Times Cited: 23
Dual Channel Feature Attention-Based Approach for RUL Prediction Considering the Spatiotemporal Difference of Multisensor Data
Hui Gao, Yibin Li, Ying Zhao, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 8, pp. 8514-8525
Closed Access | Times Cited: 22
Dynamic Predictive Maintenance Scheduling Using Deep Learning Ensemble for System Health Prognostics
Chuang Chen, Zheng Zhu, Jiantao Shi, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 23, pp. 26878-26891
Closed Access | Times Cited: 43
Remaining Useful Life Prediction via Improved CNN, GRU and Residual Attention Mechanism With Soft Thresholding
Lijie Zhang, Bin Wang, Xiaoming Yuan, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 15, pp. 15178-15190
Closed Access | Times Cited: 35
Life-cycle modeling driven by coupling competition degradation for remaining useful life prediction
Yasong Li, Zheng Zhou, Chuang Sun, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109480-109480
Closed Access | Times Cited: 17
A Dual-Scale Transformer-Based Remaining Useful Life Prediction Model in Industrial Internet of Things
Junhuai Li, Kan Wang, Xiangwang Hou, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 16, pp. 26656-26667
Open Access | Times Cited: 6
An aircraft engine remaining useful life prediction method based on predictive vector angle minimization and feature fusion gate improved transformer model
Zhihao Zhou, Zhenhua Long, Rui-Dong Wang, et al.
Journal of Manufacturing Systems (2024) Vol. 76, pp. 567-584
Closed Access | Times Cited: 5
A Deep Parallel Spatiotemporal Network based on Feature Cross-fusion for Remaining Useful Life Prediction of Aero Engine
Chenchen Wu, Jialong He, Guofa Li, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-13
Closed Access
Remaining useful life prediction of rolling bearings using a residual attention network with multi-scale feature extraction and temporal dependency enhancement
Lunpan Wei, Xiuyan Peng, Yunpeng Cao
Nondestructive Testing And Evaluation (2025), pp. 1-23
Closed Access
Remaining Useful Life Prediction of Key Aeronautic Equipment Based on Improved LSTM Autoencoder
Guoqiang Zhou, Jiuqin Liu, Xiao Liu
Lecture notes in mechanical engineering (2025), pp. 437-451
Closed Access
Deep-Learning Based Prognosis Approach for Remaining Useful Life Prediction of Turbofan Engine
Amgad Muneer, Shakirah Mohd Taib, Suliman Mohamed Fati, et al.
Symmetry (2021) Vol. 13, Iss. 10, pp. 1861-1861
Open Access | Times Cited: 34
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