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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.

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Showing 1-25 of 42 citing articles:

Predictive maintenance using digital twins: A systematic literature review
Raymon van Dinter, Bedir Teki̇nerdoğan, Cagatay Catal
Information and Software Technology (2022) Vol. 151, pp. 107008-107008
Open Access | Times Cited: 223
State of the art in structural health monitoring of offshore and marine structures
Hadi Pezeshki, Hojjat Adeli, Dimitrios G. Pavlou, et al.
Proceedings of the Institution of Civil Engineers - Maritime Engineering (2023) Vol. 176, Iss. 2, pp. 89-108
Open Access | Times Cited: 85
A review of digital twin technology for electromechanical products: Evolution focus throughout key lifecycle phases
Zhexin Cui, Xiaolang Yang, Jiguang Yue, et al.
Journal of Manufacturing Systems (2023) Vol. 70, pp. 264-287
Closed Access | Times Cited: 23
Digital twins for aircraft maintenance and operation: A systematic literature review and an IoT-enabled modular architecture
Giovanni Marco Bisanti, Luca Mainetti, Teodoro Montanaro, et al.
Internet of Things (2023) Vol. 24, pp. 100991-100991
Open Access | Times Cited: 22
Methodology and application of digital twin-driven diesel engine fault diagnosis and virtual fault model acquisition
Yaqing Bo, Han Wu, Weifan Che, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107853-107853
Closed Access | Times Cited: 10
A Systematic Literature Review of Predictive Maintenance for Defence Fixed-Wing Aircraft Sustainment and Operations
Michael Scott, Wim J.C. Verhagen, Marie Bieber, et al.
Sensors (2022) Vol. 22, Iss. 18, pp. 7070-7070
Open Access | Times Cited: 28
Digital Twin: Exploring the Intersection of Virtual and Physical Worlds
Devika Menon, Bharath Anand, Chiranji Lal Chowdhary
IEEE Access (2023) Vol. 11, pp. 75152-75172
Open Access | Times Cited: 18
Digital Twin applied to Predictive Maintenance for Industry 4.0
Rochdi Kerkeni, Safa Khlif, Anis Mhalla, et al.
Journal of Nondestructive Evaluation Diagnostics and Prognostics of Engineering Systems (2024) Vol. 7, Iss. 4
Closed Access | Times Cited: 5
Helicopter Turboshaft Engines’ Gas Generator Rotor R.P.M. Neuro-Fuzzy On-Board Controller Development
Serhii Vladov, Łukasz Ścisło, Валерій Сокуренко, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 4033-4033
Open Access | Times Cited: 5
Prediction of Remaining Useful Life (RUL) for an Aircraft Engine Using Various Machine Learning Algorithms
Dhruvi Shrimali, Swapnil Vegad, Keval Bhavsar, et al.
Lecture notes in mechanical engineering (2025), pp. 395-410
Closed Access
Digital Twin-Driven Machine Condition Monitoring: A Literature Review
He Liu, Min Xia, Darren L. Williams, et al.
Journal of Sensors (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 27
A Comprehensive Review of Emerging Trends in Aircraft Structural Prognostics and Health Management
Salman Khalid, Jinwoo Song, Muhammad Muzammil Azad, et al.
Mathematics (2023) Vol. 11, Iss. 18, pp. 3837-3837
Open Access | Times Cited: 15
Digital twin for Electronic Centralized Aircraft Monitoring by machine learning algorithms
Uğur Kılıç, Gorkem Yalin, Ömer Çam
Energy (2023) Vol. 283, pp. 129118-129118
Closed Access | Times Cited: 13
Remaining useful life prediction methods of equipment components based on deep learning for sustainable manufacturing: a literature review
Yuwen Pan, Shijia Kang, Linggang Kong, et al.
Artificial intelligence for engineering design analysis and manufacturing (2025) Vol. 39
Closed Access
Unsupervised Learning and Digital Twin Applied to Predictive Maintenance for Industry 4.0
Rochdi Kerkeni, Anis Mhalla, Kais Bouzrara
Journal of Electrical and Computer Engineering (2025) Vol. 2025, Iss. 1
Open Access
Digital twins for internal combustion engines: A brief review
Việt Dũng Trần, Prabhakar Sharma, Lan Huong Nguyen
Journal of Emerging Science and Engineering (2023) Vol. 1, Iss. 1, pp. 29-35
Open Access | Times Cited: 11
Verification and validation of digital twins: a systematic literature review for manufacturing applications
Julia Bitencourt, Ana Wooley, Gregory Harris
International Journal of Production Research (2024), pp. 1-29
Closed Access | Times Cited: 3
Neural Network Method for Helicopters Turboshaft Engines Working Process Parameters Identification at Flight Modes
Serhii Vladov, Yurii Shmelov, Ruslan Yakovliev, et al.
2022 IEEE 4th International Conference on Modern Electrical and Energy System (MEES) (2022), pp. 01-06
Closed Access | Times Cited: 13
Reconfigurable battery systems: Challenges and safety solutions using intelligent system framework based on digital twins
Akhil Garg, Jianhui Mou, Su Shaosen, et al.
IET Collaborative Intelligent Manufacturing (2022) Vol. 4, Iss. 3, pp. 232-248
Open Access | Times Cited: 12
Can we benefit from game engines to develop digital twins for planning the deployment of photovoltaics?
Christian Skafte Beck Clausen, Zheng Ma, Bo Nørregaard Jôrgensen
Energy Informatics (2022) Vol. 5, Iss. S4
Open Access | Times Cited: 11
Digital twin meets information fusion: panel summary
Erik Blasch, Genshe Chen, Yu Chen, et al.
(2024)
Closed Access | Times Cited: 1
TwinEco: A Unified Framework for Dynamic Data-Driven Digital Twins in Ecology
Taimur Khan, Koen de Koning, Dag Endresen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Iterative updating of digital twin for equipment: Progress, challenges, and trends
Bin Zhang, Guofu Ding, Qing Zheng, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102773-102773
Closed Access | Times Cited: 1
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 | Times Cited: 1
A New General Framework for Response Prediction of Composite Structures Based on Digital Twin with Three Effective Error Correction Strategies
Jiale Zuo, Ling Zhou, Liang Qiao, et al.
Applied Composite Materials (2023) Vol. 30, Iss. 2, pp. 449-483
Closed Access | Times Cited: 3
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