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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 Double-Channel Hybrid Deep Neural Network Based on CNN and BiLSTM for Remaining Useful Life Prediction
Chengying Zhao, Xianzhen Huang, Yuxiong Li, et al.
Sensors (2020) Vol. 20, Iss. 24, pp. 7109-7109
Open Access | Times Cited: 94

Showing 1-25 of 94 citing articles:

Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics
Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, et al.
Data (2021) Vol. 6, Iss. 1, pp. 5-5
Open Access | Times Cited: 177
Human Activity Recognition Based on Residual Network and BiLSTM
Yong Li, Luping Wang
Sensors (2022) Vol. 22, Iss. 2, pp. 635-635
Open Access | Times Cited: 106
BiLSTM deep neural network model for imbalanced medical data of IoT systems
Marcin Woźniak, Michał Wieczorek, Jakub Siłka
Future Generation Computer Systems (2022) Vol. 141, pp. 489-499
Closed Access | Times Cited: 102
LSTM Inefficiency in Long-Term Dependencies Regression Problems
Safwan Mahmood Al-Selwi, Mohd Fadzil Hassan, Said Jadid Abdulkadir, et al.
Journal of Advanced Research in Applied Sciences and Engineering Technology (2023) Vol. 30, Iss. 3, pp. 16-31
Open Access | Times Cited: 41
Aircraft Engines Remaining Useful Life Prediction Based on A Hybrid Model of Autoencoder and Deep Belief Network
Huthaifa Al-Khazraji, Ahmed R. Nasser, Ahmed Mudheher Hasan, et al.
IEEE Access (2022) Vol. 10, pp. 82156-82163
Open Access | Times Cited: 46
A real-time adaptive model for bearing fault classification and remaining useful life estimation using deep neural network
Muktesh Gupta, Rajesh Wadhvani, Akhtar Rasool
Knowledge-Based Systems (2022) Vol. 259, pp. 110070-110070
Open Access | Times Cited: 46
Automatic multi-differential deep learning and its application to machine remaining useful life prediction
Sheng Xiang, Yi Qin, Fuqiang Liu, et al.
Reliability Engineering & System Safety (2022) Vol. 223, pp. 108531-108531
Closed Access | Times Cited: 41
A concise self-adapting deep learning network for machine remaining useful life prediction
Sheng Xiang, Yi Qin, Jun Luo, et al.
Mechanical Systems and Signal Processing (2023) Vol. 191, pp. 110187-110187
Closed Access | Times Cited: 30
Comprehensive machine and deep learning analysis of sensor-based human activity recognition
Hossam Magdy Balaha, Asmaa El-Sayed Hassan
Neural Computing and Applications (2023) Vol. 35, Iss. 17, pp. 12793-12831
Closed Access | Times Cited: 30
Single gated RNN with differential weighted information storage mechanism and its application to machine RUL prediction
Sheng Xiang, Penghua Li, Huang Yi, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109741-109741
Closed Access | Times Cited: 23
Contrastive BiLSTM-enabled Health Representation Learning for Remaining Useful Life Prediction
Qixiang Zhu, Zheng Zhou, Yasong Li, et al.
Reliability Engineering & System Safety (2024) Vol. 249, pp. 110210-110210
Closed Access | Times Cited: 11
Towards Interpretable Deep Learning: A Feature Selection Framework for Prognostics and Health Management Using Deep Neural Networks
Joaquín Figueroa Barraza, Enrique López Droguett, Marcelo Ramos Martins
Sensors (2021) Vol. 21, Iss. 17, pp. 5888-5888
Open Access | Times Cited: 48
Spatiotemporally Multidifferential Processing Deep Neural Network and its Application to Equipment Remaining Useful Life Prediction
Sheng Xiang, Yi Qin, Jun Luo, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 10, pp. 7230-7239
Closed Access | Times Cited: 43
Aero-Engine Remaining Useful Life Estimation Based on Multi-Head Networks
Likun Ren, Haiqin Qin, Zhenbo Xie, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 33
A systematic method of remaining useful life estimation based on physics-informed graph neural networks with multisensor data
Yuxuan He, Huai Su, Enrico Zio, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109333-109333
Closed Access | Times Cited: 21
Spatial-temporal dual-channel adaptive graph convolutional network for remaining useful life prediction with multi-sensor information fusion
Xingwu Zhang, Zhenjiang Leng, Zhibin Zhao, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102120-102120
Closed Access | Times Cited: 21
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
Prediction of Remaining Useful Life (RUL) for an Aircraft Engine Using Various Machine Learning Algorithms
Dhruvi Shrimali, Swapnil Vegad, Keval Bhavsar, et al.
Lecture notes in mechanical engineering (2025), pp. 395-410
Closed Access
LSTGINet: Local Attention Spatio-Temporal Graph Inference Network for Age Prediction
Yi Lei, Xin Wen, Yanrong Hao, et al.
Algorithms (2025) Vol. 18, Iss. 3, pp. 138-138
Open Access
Challenges of machine learning-based RUL prognosis: A review on NASA's C-MAPSS data set
Simon Vollert, Andreas Theissler
(2021), pp. 1-8
Closed Access | Times Cited: 38
A method for predicting the remaining useful life of rolling bearings under different working conditions based on multi-domain adversarial networks
Yisheng Zou, Zhixuan Li, Yongzhi Liu, et al.
Measurement (2021) Vol. 188, pp. 110393-110393
Closed Access | Times Cited: 36
Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management
Sergio Cofre-Martel, Enrique López Droguett, Mohammad Modarres
Sensors (2021) Vol. 21, Iss. 20, pp. 6841-6841
Open Access | Times Cited: 32
A Review of Remaining Useful Life Prediction Approaches for Mechanical Equipment
Yangyang Zhang, Liqing Fang, Ziyuan Qi, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 24, pp. 29991-30006
Closed Access | Times Cited: 15
An Explainable Artificial Intelligence Approach for Remaining Useful Life Prediction
Genane Youness, Adam Aalah
Aerospace (2023) Vol. 10, Iss. 5, pp. 474-474
Open Access | Times Cited: 14
A Two-Stage Attention-Based Hierarchical Transformer for Turbofan Engine Remaining Useful Life Prediction
Zhengyang Fan, Wanru Li, Kuo‐Chu Chang
Sensors (2024) Vol. 24, Iss. 3, pp. 824-824
Open Access | Times Cited: 5
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