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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:

Data-driven method embedded physical knowledge for entire lifecycle degradation monitoring in aircraft engines
Dasheng Xiao, Zhifu Lin, Aiyang Yu, et al.
Reliability Engineering & System Safety (2024) Vol. 247, pp. 110100-110100
Closed Access | Times Cited: 10

Showing 10 citing articles:

Helicopter Turboshaft Engines’ Neural Network System for Monitoring Sensor Failures
Serhii Vladov, Łukasz Ścisło, Nina Szczepanik-Ścisło, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 990-990
Open Access
A novel adaptive monitoring framework for detecting the abnormal states of aero-engines with maneuvering flight data
Jian Wen Wang, Y. J. Song, He Tian
Reliability Engineering & System Safety (2025), pp. 110910-110910
Closed Access
Multi-objective Optimization of Variable Altitude High-dimensional Compression-ignition Aviation Piston Engine Based on Kriging Model and NSGA-III
Yuchen Xu, Min Sun, Guisheng Chen, et al.
Energy (2025) Vol. 320, pp. 135306-135306
Closed Access
A Self-updating Digital Model Method for Aero-Engines
Sumu Shi, Cong Peng, Bei Li, et al.
Lecture notes in electrical engineering (2025), pp. 268-276
Closed Access
Predicting the performance status of aero-engines using a spatio-temporal decoupled digital twin modeling method
Dasheng Xiao, S. Song, Hong Xiao, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103218-103218
Closed Access
Deep hierarchical sorting networks for fault diagnosis of aero-engines
Jin‐Lei Wu, Lin Lin, Dan Liu, et al.
Computers in Industry (2024) Vol. 165, pp. 104229-104229
Closed Access | Times Cited: 1
Predicting the Performance Status of Aero-Engines Using a Spatio-Temporal Decoupled Digital Twin Modeling Method
Dasheng Xiao, S. Song, Hong Xiao, et al.
(2024)
Closed Access
Aerodynamic robustness optimization of aeroengine fan performance based on an interpretable dynamic machine learning method
Hongzhi Cheng, Ziqing Zhang, Xingen Lu, et al.
Reliability Engineering & System Safety (2024) Vol. 254, pp. 110654-110654
Closed Access
Highly fault-tolerant thrust estimation for gas turbine engines via feature-level dissimilarity design
Hang Zhao, Xinyu Lin, Zengbu Liao, et al.
Measurement (2024), pp. 116350-116350
Closed Access
A Data-Driven Feature Extraction Process of Interleaved DC/DC Converter Due to the Degradation of the Capacitor in the Aircraft Electrical System
Chenguang Zhang, Pengfei Gao, Ming Huang, et al.
Aerospace (2024) Vol. 11, Iss. 12, pp. 1027-1027
Open Access
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