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:

Requirements for the application of the Digital Twin Paradigm to offshore wind turbine structures for uncertain fatigue analysis
Jack Jorgensen, Melinda Hodkiewicz, Edward Cripps, et al.
Computers in Industry (2022) Vol. 145, pp. 103806-103806
Open Access | Times Cited: 22

Showing 22 citing articles:

Designing and prototyping the architecture of a digital twin for wind turbine
Montaser Mahmoud, Concetta Semeraro, Mohammad Ali Abdelkareem, et al.
International Journal of Thermofluids (2024) Vol. 22, pp. 100622-100622
Open Access | Times Cited: 8

Enhancing Reliability in Floating Offshore Wind Turbines through Digital Twin Technology: A Comprehensive Review
Bai-Qiao Chen, Kun Liu, Tongqiang Yu, et al.
Energies (2024) Vol. 17, Iss. 8, pp. 1964-1964
Open Access | Times Cited: 8

Digital twin enabled transition towards the smart electric vehicle charging infrastructure: A review
Gang Yu, Xianming Ye, Xiaohua Xia, et al.
Sustainable Cities and Society (2024) Vol. 108, pp. 105479-105479
Closed Access | Times Cited: 8

A digital twin-based framework for damage detection of a floating wind turbine structure under various loading conditions based on deep learning approach
Zohreh Mousavi, Sina Varahram, Mir Mohammad Ettefagh, et al.
Ocean Engineering (2023) Vol. 292, pp. 116563-116563
Closed Access | Times Cited: 18

The application and development of digital twin in the marine domain
Zhen‐Zhong Hu, Yi Liu, Jianmin Zhang
(2025)
Closed Access

Comprehensive Analysis and Evaluation of the Operation and Maintenance of Offshore Wind Power Systems: A Survey
Cheng Yang, Jun Jia, Ke He, et al.
Energies (2023) Vol. 16, Iss. 14, pp. 5562-5562
Open Access | Times Cited: 12

Industrial Insights on Digital Twins in Manufacturing: Application Landscape, Current Practices, and Future Needs
Rosario Davide D’Amico, Sri Addepalli, John Ahmet Erkoyuncu
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 3, pp. 126-126
Open Access | Times Cited: 9

A four-dimensional digital twin framework for fatigue damage assessment of semi-submersible platforms and practical application
Bo Wu, Qiangqiang Wei, Xin Li, et al.
Ocean Engineering (2024) Vol. 301, pp. 117273-117273
Closed Access | Times Cited: 3

Condition Monitoring of Spud in Cutter Suction Dredger using Physics based Machine Learning
Chinmaya Ranjan Barik, Kiran Vijayan
Journal of Vibration Engineering & Technologies (2024)
Closed Access | Times Cited: 1

Industrial Insights on Digital Twins in Manufacturing: Application Landscape, Current Practices, and Future Needs
Rosario Davide D’Amico, Sri Addepalli, John Ahmet Erkoyuncu
(2023)
Open Access | Times Cited: 2

An open-source analysis workflow for geometrically imperfect bolted ring-flanges in wind turbine support structures
J.-E. Jørgensen, Melinda Hodkiewicz, Elizabeth Cripps, et al.
Journal of Physics Conference Series (2024) Vol. 2767, Iss. 6, pp. 062004-062004
Open Access

Offshore wind power digital twin modeling system for intelligent operation and maintenance applications
Ernu Zhang, Feng Shen, Siguang Liu, et al.
E3S Web of Conferences (2024) Vol. 546, pp. 02010-02010
Open Access

Uncertainty Quantification for Digital Twins in Smart Manufacturing and Robotics: A Review
Sai Teja Battula, Sridhar Alla, E. V. Ramana, et al.
Journal of Physics Conference Series (2024) Vol. 2837, Iss. 1, pp. 012059-012059
Open Access

Digital twins for telemedicine and personalized medicine
Bancha Yingngam, Jeerisuda Khumsikiew, Rojjares Netthong
Elsevier eBooks (2024), pp. 295-325
Closed Access

A trustworthy intelligent offshore wind turbine fatigue crack propagation prediction framework from the probabilistic perspective
Linfeng Li, Jianjun Qin, Yue Pan, et al.
Ocean Engineering (2024) Vol. 314, pp. 119739-119739
Closed Access

Predictive maintenance for spud condition monitoring in cutter suction dredgers using Gaussian process emulation
Chinmaya Ranjan Barik, Kiran Vijayan
Ships and Offshore Structures (2024), pp. 1-14
Closed Access

Applications and challenges of digital twins of floating wind turbines
Maria-Styliani Daraki, B. L. Mina, Muhnad Almasoudi, et al.
(2024), pp. 53-60
Closed Access

Evaluating probabilistic forecasts for maritime engineering operations
Lachlan Astfalck, Michael Bertolacci, Edward Cripps
Data-Centric Engineering (2023) Vol. 4
Open Access | Times Cited: 1

Damage Identification of Wind Turbine Blades - A Brief Review
Amna Algolfat, Weizhuo Wang, Alhussein Albarbar
Journal of Dynamics Monitoring and Diagnostics (2023)
Open Access | Times Cited: 1

DIGITAL TWIN APLICADA À MANUTENÇÃO DE TURBINAS EÓLICAS OFFSHORE: REVISÃO BIBLIOGRÁFICA SISTEMÁTICA
LETÍCIA SOARES TEIXEIRA DE SOUZA, MARIO ORESTES AGUIRRE GONZÁLEZ, LUIS MARIO DE MEDEIROS AGUIRRE, et al.
Anais ... Encontro Nacional de Engenharia de Produção/Anais do Encontro Nacional de Engenharia de Produção (2023)
Open Access

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