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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 Novel Digital Twin Framework for Aeroengine Performance Diagnosis
Zepeng Wang, Ye Wang, Xizhen Wang, et al.
Aerospace (2023) Vol. 10, Iss. 9, pp. 789-789
Open Access | Times Cited: 15

Showing 15 citing articles:

Ecosystem of Aviation Maintenance: Transition from Aircraft Health Monitoring to Health Management Based on IoT and AI Synergy
Igor Kabashkin, Vladimir Perekrestov
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4394-4394
Open Access | Times Cited: 9
Digital Twin Models: Functions, Challenges, and Industry Applications
Rakiba Rayhana, Ling Bai, Gaozhi Xiao, et al.
IEEE Journal of Radio Frequency Identification (2024) Vol. 8, pp. 282-321
Closed Access | Times Cited: 6
Comprehensive Thermodynamic Performance Evaluation of a Novel Dual-Shaft Solid Oxide Fuel Cell Hybrid Propulsion System
Jinghui Xu, Xizhen Wang, Zepeng Wang, et al.
Aerospace (2025) Vol. 12, Iss. 1, pp. 59-59
Open Access
Recent Progress in Digital Twin-Driven Fault Diagnosis of Rotating Machinery：A Comprehensive Review
Zhang Pengbo, Renxiang Chen, Lixia Yang, et al.
Neurocomputing (2025), pp. 129914-129914
Closed Access
A novel method for aero-engine map calibration using adaptation factor surface
Ye Wang, Xizhen Wang, Zepeng Wang, et al.
Measurement (2024) Vol. 239, pp. 115394-115394
Closed Access | Times Cited: 3
Digital Twin Framework for Aircraft Lifecycle Management Based on Data-Driven Models
Igor Kabashkin
Mathematics (2024) Vol. 12, Iss. 19, pp. 2979-2979
Open Access | Times Cited: 2
Transient gas path fault diagnosis of aero-engine based on domain adaptive offline reinforcement learning
Jinghui Xu, Ye Wang, Zepeng Wang, et al.
Aerospace Science and Technology (2024) Vol. 155, pp. 109701-109701
Closed Access | Times Cited: 2
An improved high-fidelity adaptive model for integrated inlet-engine-nozzle based on mechanism-data fusion
Chen Wang, Ziyang YU, Xian Du, et al.
Chinese Journal of Aeronautics (2024) Vol. 37, Iss. 8, pp. 190-207
Open Access | Times Cited: 1
Advancing the Diagnosis of Aero-Engine Bearing Faults with Rotational Spectrum and Scale-Aware Robust Network
Jin Li, Zhengbing Yang, Xiang Zhou, et al.
Aerospace (2024) Vol. 11, Iss. 8, pp. 613-613
Open Access | Times Cited: 1
Digital Twins in Biomanufacturing
Michelangelo Canzoneri, Marc Horner, Prith Banerjee
(2024), pp. 59-81
Closed Access | Times Cited: 1
Artificial intelligence and machine learning in mechanical engineering: Current trends and future prospects
Madhu Puttegowda, Sharath Ballupete Nagaraju
Engineering Applications of Artificial Intelligence (2024) Vol. 142, pp. 109910-109910
Closed Access | Times Cited: 1
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
Application of a surrogate model for condition monitoring of a digital twin gas turbine
Junqi Luan, Shuying Li, Yunpeng Cao, et al.
Applied Mathematical Modelling (2024) Vol. 137, pp. 115683-115683
Closed Access
Digital Twin Approach for Operation and Maintenance of Transportation System—Systematic Review
Sylwia Werbińska-Wojciechowska, R. Giel, Klaudia Winiarska
Sensors (2024) Vol. 24, Iss. 18, pp. 6069-6069
Open Access
Adaptive Two-Degree-of-Freedom Robust Gain-Scheduling Control Strategy
Kai Yin, Zhidan Liu, Linfeng Gou
Aerospace (2024) Vol. 11, Iss. 11, pp. 940-940
Open Access
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