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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:

Remaining Useful Life Prediction of Aircraft Turbofan Engine Based on Random Forest Feature Selection and Multi-Layer Perceptron
Hairui Wang, Dongwen Li, Dongjun Li, et al.
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 7186-7186
Open Access | Times Cited: 25

Showing 25 citing articles:

Aircraft Engine Remaining Useful Life Prediction using neural networks and real-life engine operational data
Sławomir Szrama, Tomasz Łodygowski
Advances in Engineering Software (2024) Vol. 192, pp. 103645-103645
Closed Access | Times Cited: 11
Deep Learning Models for Enhanced RUL Prediction in Turbofan Jet Engines
J. Judeson Antony Kovilpillai, Sulaiman Syed Mohamed, Pragya, et al.
Lecture notes in networks and systems (2025), pp. 685-699
Closed Access
Online Prediction Method for Remaining Useful Life of Aircraft Engine
Bei Li, Cong Peng, Sumu Shi, et al.
Lecture notes in electrical engineering (2025), pp. 210-219
Closed Access
Improving predictive maintenance: Evaluating the impact of preprocessing and model complexity on the effectiveness of eXplainable Artificial Intelligence methods
M. Ndao, Genane Youness, Ndèye Niang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110144-110144
Open Access
Reliable Prediction of Remaining Useful Life for Aircraft Engines: An LSTM-Based Approach With Conservative Loss Function
Anees Peringal, Mohammed B. Mohiuddin, Abdel Gafoor Haddad, et al.
AIAA SCITECH 2022 Forum (2025)
Closed Access
An adaptive remaining useful life prediction model for aeroengine based on multi-angle similarity
Z. C. Zhou, Mingliang Bai, Zhenhua Long, et al.
Measurement (2023) Vol. 226, pp. 114082-114082
Closed Access | Times Cited: 11
Remaining Useful Life Prediction for Turbofan Engine Using SAE-TCN Model
Xiaofeng Liu, Liuqi Xiong, Yiming Zhang, et al.
Aerospace (2023) Vol. 10, Iss. 8, pp. 715-715
Open Access | Times Cited: 6
A Bidirectional Long Short-Term Memory Autoencoder Transformer for Remaining Useful Life Estimation
Zhengyang Fan, Wanru Li, Kuo‐Chu Chang
Mathematics (2023) Vol. 11, Iss. 24, pp. 4972-4972
Open Access | Times Cited: 8
Remaining useful life prediction framework of equipment based on improved golden jackal algorithm assisted-LSTM
Ronghua Ma, Yongliang Yuan
AIP Advances (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
A novel method for the natural frequency estimation of the jet engine turbine blades based on its dimensions
Miroslav Spodniak, Michal Hovanec, Peter Korba
Heliyon (2024) Vol. 10, Iss. 4, pp. e26041-e26041
Open Access | Times Cited: 2
Method for Remaining Useful Life Prediction of Turbofan Engines Combining Adam Optimization-Based Self-Attention Mechanism with Temporal Convolutional Networks
Hairui Wang, Dongjun Li, Ya Li, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7723-7723
Open Access | Times Cited: 2
Prediction of Performance Characteristics of Experimental Micro Turbojet Engines Using Machine Learning Approaches
Hakan Aygün, Ömer Osman Dursun, Kadir Dönmez, et al.
Energy (2024), pp. 133997-133997
Closed Access | Times Cited: 2
Predicting the Remaining Useful Life of Turbofan Engines Using Fractional Lévy Stable Motion with Long-Range Dependence
Deyu Qi, Zijiang Zhu, Fengmin Yao, et al.
Fractal and Fractional (2024) Vol. 8, Iss. 1, pp. 55-55
Open Access | Times Cited: 1
A Xgboost Optimized Ensemble Model for Remaining useful Life Prediction of Aircraft Turbofan Engines
Vaasudev Sharma, Riyansh Dagar, S. Sharanya
2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (2024), pp. 1-5
Closed Access | Times Cited: 1
Remaining Useful Life Prediction of Aero-Engine Based on KSFA-GMM-BID-Improved Autoformer
Jiashun Wei, Zhiqiang Li, Yang Li, et al.
Electronics (2024) Vol. 13, Iss. 14, pp. 2741-2741
Open Access | Times Cited: 1
Toward Proactive Maintenance: A Multi-Tiered Architecture for Industrial Equipment Health Monitoring and Remaining Useful Life Prediction
Emrullah Gultekin, Mehmet S. Aktaş
International Journal of Software Engineering and Knowledge Engineering (2024) Vol. 34, Iss. 12, pp. 1831-1856
Closed Access | Times Cited: 1
Machine learning application to forecasting performance and thermodynamics parameters of small turbojet engine
Suat Toraman, Hakan Aygün, Ömer Osman Dursun
Journal of Thermal Analysis and Calorimetry (2024)
Closed Access | Times Cited: 1
An explainable approach for prediction of remaining useful life in turbofan condition monitoring
Zahra Mansourvar, Mustafa Jahangoshai Rezaee, Milad Eshkevari
Neural Computing and Applications (2024)
Closed Access | Times Cited: 1
Predictive Analytics in IoT and CPS: Enhancing Industrial Machinery Reliability through Sensor Data-Driven Remaining Useful Life Estimation
Emrullah Gultekin, Mehmet S. Aktaş
2021 IEEE International Conference on Big Data (Big Data) (2023)
Closed Access | Times Cited: 2
Framework Based on Machine Learning Approach for Prediction of the Remaining Useful Life: A Case Study of an Aviation Engine
Rajiv Kumar Sharma
Journal of Failure Analysis and Prevention (2024) Vol. 24, Iss. 3, pp. 1333-1350
Closed Access
Predicting Aircraft Turbofan Engine Degradation with Recurrent Neural Networks
Shivansh Sharma, Akash Kumar Pandit, S. Sharanya
(2024), pp. 1-6
Closed Access
Deep residual ensemble model for predicting remaining useful life of turbo fan engines
Sharanya Selvaraj, Jyothi Narayanan Thulasi, Muruga lal Jeyan Johnrose Vijayakumari, et al.
International Journal of Turbo and Jet Engines (2024)
Closed Access
Turbofan engine health status prediction with artificial neural network
Sławomir Szrama, Tomasz Łodygowski
Aviation (2024) Vol. 28, Iss. 4, pp. 225-234
Open Access
A novel remaining useful life prediction method under multiple operating conditions based on attention mechanism and deep learning
Jie Wang, Lu Zhong, Jia Zhou, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103083-103083
Closed Access
Jet Engine Turbine Mechanical Properties Prediction by Using Progressive Numerical Methods
Miroslav Spodniak, Michal Hovanec, Peter Korba
Aerospace (2023) Vol. 10, Iss. 11, pp. 937-937
Open Access
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