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:

Predictive maintenance analytics and implementation for aircraft: Challenges and opportunities
Izaak Stanton, Kamran Munir, Ahsan Ikram, et al.
Systems Engineering (2022) Vol. 26, Iss. 2, pp. 216-237
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Intelligent fault diagnosis methods toward gas turbine: A review
Xiaofeng Liu, Yingjie CHEN, Liuqi Xiong, et al.
Chinese Journal of Aeronautics (2023) Vol. 37, Iss. 4, pp. 93-120
Open Access | Times Cited: 25

State-of-the-art review and synthesis: A requirement-based roadmap for standardized predictive maintenance automation using digital twin technologies
Sizhe Ma, Katherine A. Flanigan, Mario Bergés
Advanced Engineering Informatics (2024) Vol. 62, pp. 102800-102800
Open Access | Times Cited: 8

Prognostic and Health Management of Critical Aircraft Systems and Components: An Overview
Shuai Fu, Nicolas P. Avdelidis
Sensors (2023) Vol. 23, Iss. 19, pp. 8124-8124
Open Access | Times Cited: 17

Emerging Role of Artificial Intelligence (AI) in Aviation
Tereza Raquel Merlo
Advances in mechatronics and mechanical engineering (AMME) book series (2024), pp. 28-46
Closed Access | Times Cited: 5

Monitoring and Improving Aircraft Maintenance Processes Using IT Systems
Andrzej Żyluk, Mariusz Zieja, Karol Kawka, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1374-1374
Open Access

Generative AI-based predictive maintenance in aviation: a systematic literature review
Zubeida Casmod Khan, Bisma Nasim, Zeehasham Rasheed
CEAS Aeronautical Journal (2025)
Closed Access

Multi-modal LSTM network for anomaly prediction in piston engine aircraft
Waqas Rauf Khattak, Ahmad Salman, Salman Ghafoor, et al.
Heliyon (2024) Vol. 10, Iss. 3, pp. e25120-e25120
Open Access | Times Cited: 4

Decision-Making Framework for Aviation Safety in Predictive Maintenance Strategies
Igor Kabashkin, Roman K. Fedorov, Vladimir Perekrestov
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1626-1626
Open Access

Wireless Data Transfer System Architecture for Predictive Maintenance of Aircraft Landing Gear
Georgios Marios Skaltsis, Chengwei Wang, Angelos Plastropoulos, et al.
AIAA SCITECH 2022 Forum (2025)
Closed Access

Revolutionizing the Future of Smart Materials: A Review of 4D Printing, Design, Optimization, and Machine Learning Integration
Kashif Azher, Aamer Nazir, Muhammad Umar Farooq, et al.
Advanced Materials Technologies (2025)
Closed Access

Advancements in Aerospace Engineering: Exploring Emerging Technologies for Advanced Aerospace Efficiency
Abhay Dhasmana, Sachin Srivastava
IntechOpen eBooks (2025)
Closed Access

Deep learning methodologies based on metaheuristics for predictive engine maintenance
Pradeep Kumar D, B. J. Sowmya, Anita Kanavalli, et al.
ACTA IMEKO (2024) Vol. 13, Iss. 2, pp. 1-15
Open Access | Times Cited: 2

A Vision-Based Neural Networks Model for Turbine Trench-Filler Diagnosis
César Isaza, Fernando Guerrero-Garcia, Karina Anaya, et al.
Lecture notes in mechanical engineering (2024), pp. 1-14
Closed Access | Times Cited: 1

Autonomous predictive maintenance of quadrotor UAV with multi-actuator degradation
Fuyuan Shen, Wei Li, Dongnian Jiang, et al.
The Aeronautical Journal (2024) Vol. 128, Iss. 1326, pp. 1789-1813
Closed Access | Times Cited: 1

Predicting Aircraft Engine Failures using Artificial Intelligence
Asmae Bentaleb, Kaoutar TOUMLAL, Jâafar Abouchabaka
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 2
Open Access | Times Cited: 1

A methodological review on the combined use of mixed reality and artificial intelligence for predictive maintenance in industry
Matthias Razum, Simeu-Abazi Zineb, Gascard Eric
(2024), pp. 1-6
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

Machine Learning Based Remaining Useful Life Estimation—Concept and Case Study
Svara Mehta, Ramnath V. Prabhu Bam, Rajesh S. Prabhu Gaonkar
Springer series in reliability engineering (2024), pp. 155-180
Closed Access

Data augmentation for predictive maintenance: Synthesising aircraft landing gear datasets
Izaak Stanton, Kamran Munir, Ahsan Ikram, et al.
Engineering Reports (2024)
Open Access

Experimental Testing of Using the Artificial Neural Networks in Diagnostic Systems for Assessing and Predicting the Technical Condition of Rotorcraft Units
А. Б. Бельский, O. A. Esipovich, B. B. Safoklov
Russian Aeronautics (2024) Vol. 67, Iss. 1, pp. 119-126
Closed Access

CFM56 turbine trench-filler inspection using instance segmentation
César Isaza, Fernando Guerrero-Garcia, Karina Anaya, et al.
International Journal of Systems Assurance Engineering and Management (2024)
Closed Access

A new approach: ordinal predictive maintenance with ensemble binary decomposition (OPMEB)
Ozlem Ece Yurek, Derya Birant
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES (2024) Vol. 32, Iss. 4, pp. 534-554
Open Access

The Future of Manufacturing with AI and Data Analytics
Neel Shah, Sneh Shah, Janvi Bhanushali, et al.
(2024), pp. 541-564
Closed Access

Generative AI based Predictive Maintenance in Aviation: A Systematic Literature Review
Zeeshan Khan, Bisma Nasim, Zeehasham Rasheed
Research Square (Research Square) (2024)
Open Access

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