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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 Deep Learning Model for Remaining Useful Life Prediction of Aircraft Turbofan Engine on C-MAPSS Dataset
Owais Asif, Sajjad Haider, Syed Rameez Naqvi, et al.
IEEE Access (2022) Vol. 10, pp. 95425-95440
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

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
Deep Learning and Computer Vision Techniques for Enhanced Quality Control in Manufacturing Processes
Md Raisul Islam, Md Zakir Hossain Zamil, Md. Eshmam Rayed, et al.
IEEE Access (2024) Vol. 12, pp. 121449-121479
Open Access | Times Cited: 8
Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review
Somayeh Bakhtiari Ramezani, Logan Cummins, Brad Killen, et al.
IEEE Access (2023) Vol. 11, pp. 41741-41769
Open Access | Times Cited: 16
Research on gas turbine health assessment method based on physical prior knowledge and spatial-temporal graph neural network
Kanru Cheng, Kunyu Zhang, Yuzhang Wang, et al.
Applied Energy (2024) Vol. 367, pp. 123419-123419
Closed Access | Times Cited: 5
A Survey of Industrial AIoT: Opportunities, Challenges, and Directions
Kamran Sattar Awaisi, Qiang Ye, Srinivas Sampalli
IEEE Access (2024) Vol. 12, pp. 96946-96996
Open Access | Times Cited: 5
Improved sand cat swarm optimization algorithm assisted GraphSAGE-GRU for remaining useful life of engine
Yongliang Yuan, Ruifang Li, Guohu Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
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
A benchmark on uncertainty quantification for deep learning prognostics
Luis Basora, Arthur Viens, Manuel Arias Chao, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110513-110513
Open Access | Times Cited: 4
Aero-Engine Remain Useful Life Estimation via Scope-Coordinated Attention-Based Network
Zheng Liao, Sijie Liu, Jin Li, et al.
Aerospace (2025) Vol. 12, Iss. 3, pp. 259-259
Open Access
Advances and limitations in machine learning approaches applied to remaining useful life predictions: a critical review
Xianpeng Qiao, Veronica Lestari Jauw, Lim Chin Seong, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 9-10, pp. 4059-4076
Closed Access | Times Cited: 3
Ensemble Learning for Estimating Remaining Useful Life: Incorporating Linear, KNN, and Gaussian Process Regression
Nima Rezazadeh, Donato Perfetto, Alessandro De Luca, et al.
Lecture notes in mechanical engineering (2024), pp. 201-212
Closed Access | Times Cited: 3
Deep learning-based intelligent multilevel predictive maintenance framework considering comprehensive cost
Kaili Zhou, De-Jun Cheng, Han-Bing Zhang, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109357-109357
Closed 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
Improved adaptive war strategy optimization algorithm assisted-adaptive multi-head graph attention mechanism network for remaining useful life of complex equipment
Zheng Lin, Weijie Jia, Rongqiang Yang
AIP Advances (2024) Vol. 14, Iss. 5
Open Access | Times Cited: 2
Combined improved tuna swarm optimization with graph convolutional neural network for remaining useful life of engine
Yongliang Yuan, Qingkang Yang, Guohu Wang, et al.
Quality and Reliability Engineering International (2024) Vol. 41, Iss. 1, pp. 174-191
Closed Access | Times Cited: 2
Review of Contemporary Methods for Reliability Analysis in Aircraft Components
Anil Ramachadran, Sugguna Rambabu, P. Swathi Pratha, et al.
Journal of Aerospace Information Systems (2024) Vol. 21, Iss. 6, pp. 482-488
Closed Access | Times Cited: 1
A new method of fault diagnosis for aeroengines with dispersedly clumped gas path parameters
Qiao Liu, Xianghua Huang
Aerospace Science and Technology (2024) Vol. 148, pp. 109065-109065
Closed Access | Times Cited: 1
A Comprehensive Survey of Predictive Maintenance Techniques for Aircraft Engines Utilizing the C-MAPSS Dataset
Muskan Pathan
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) Vol. 08, Iss. 05, pp. 1-5
Open Access | Times Cited: 1
Boosting Regression Assistive Predictive Maintenance of the Aircraft Engine with Random-Sampling Based Class Balancing
Ibrahima Barry, Meriem Hafsi, Saeed Mian Qaisar
Lecture notes in networks and systems (2024), pp. 21-36
Closed Access | Times Cited: 1
Artificial Intelligence Application on Aircraft Maintenance: A Systematic Literature Review
Erna Shevilia Agustian, Zastra Alfarezi Pratama
EAI Endorsed Transactions on Internet of Things (2024) Vol. 10
Open Access | Times Cited: 1
Aero-engine residual life prediction based on time-series residual neural networks
Ping Yu, Haotian Wang, Jie Cao
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 2, pp. 2437-2448
Closed Access | Times Cited: 3
Real-Time Anomaly Detection Business Process for Industrial Equipment Using Internet of Things and Unsupervised Machine Learning Algorithms
Emrullah Gultekin, Mehmet S. Aktaş
Lecture notes in computer science (2023), pp. 16-31
Closed Access | Times Cited: 3
Aero-engine remaining useful life prediction based on a long-term channel self-attention network
Xuezhen Liu, Yongyi Chen, Hongjie Ni, et al.
Signal Image and Video Processing (2023) Vol. 18, Iss. 1, pp. 637-645
Closed Access | Times Cited: 3
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
Predictive Analytics Beyond the Hype: A Comprehensive Comparison of LSTM, XGBoost and LightGBM with Emphasis on RMSE and CPU Utilization
Abhinav Chola, Rupali Rastogi, Pushpinder Kaur, et al.
(2024)
Closed Access
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