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:

Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions
Florian Stadtmann, Adil Rasheed, Trond Kvamsdal, et al.
IEEE Access (2023) Vol. 11, pp. 110762-110795
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Digital Twins in intensive aquaculture — Challenges, opportunities and future prospects
Martin Føre, Morten Omholt Alver, Jo Arve Alfredsen, et al.
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108676-108676
Open Access | Times Cited: 13

Advancements on Grid Compliance in Wind Power: Component & Subsystem Testing, Software-/Hardware-in-the-Loop, and Digital Twins
Gabriel Miguel Gomes Guerreiro, Frank Martin, Thomas Dreyer, et al.
IEEE Access (2024) Vol. 12, pp. 25949-25966
Open Access | Times Cited: 12

A survey on degradation modeling, prognosis, and prognostics-driven maintenance in wind energy systems
Nur Banu Altinpulluk, Deniz Altinpulluk, Murat Yildirim, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 211, pp. 115281-115281
Closed Access

An Optimization Approach to Select Koopman Observables for Data-Based Modeling Using Dynamic Mode Decomposition with Control
Amanda Martí-Coll, Adrián Rodríguez Ramos, Orestes Llanes‐Santiago
Processes (2025) Vol. 13, Iss. 1, pp. 284-284
Open Access

Dual Input Interleaved Three-Phase Rectifier In Discontinuous Conduction Mode For Application In Small Wind Turbines
Guilherme Matheus Todys, Luís P. Custódio, Alceu André Badin, et al.
Eletrônica de Potência (2025) Vol. 30, pp. e202509-e202509
Open Access

Medical sensor network and machine learning-enabled digital twins for diagnostic and therapeutic purposes
Md. Afroz, Emmanuel Nyawende
Elsevier eBooks (2025), pp. 121-147
Closed Access

Digital Twin for Power Load Forecasting
Zhijun Wang, Richao Cong, Ruihong Wang, et al.
Lecture notes in electrical engineering (2025), pp. 366-374
Open Access

Digital twin syncing for autonomous surface vessels using reinforcement learning and nonlinear model predictive control
Henry J. Vanden Berg, Daniel Menges, Trym Tengesdal, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Digital Twins' Maturity: The Need for Interoperability
Robert Klar, Niklas Arvidsson, Vangelis Angelakis
IEEE Systems Journal (2023) Vol. 18, Iss. 1, pp. 713-724
Open Access | Times Cited: 10

An augmented physics informed neural network approach for blunt-body dynamics
Shafi Al Salman Romeo, Furkan Oz, Ashraf Kassem, et al.
Physics of Fluids (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 2

Predictive digital twin for wind energy systems: a literature review
Ege Kandemir, Agus Hasan, Trond Kvamsdal, et al.
Energy Informatics (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1

Physics-guided federated learning as an enabler for digital twins
Florian Stadtmann, Erik Rugaard Furevik, Adil Rasheed, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 125169-125169
Open Access | Times Cited: 1

Embracing digital transformation for sustainable development: Barriers to adopting digital twin in asset management within Singapore's energy and chemicals industry
Hanzhang Zhan, Bon‐Gang Hwang, Pramesh Krishnankutty
Sustainable Development (2024)
Closed Access | Times Cited: 1

Redefining Digital Twins – A Wind Energy Operations and Maintenance Perspective
Eamonn Tuton, Xinhui Ma, Nina Dethlefs
Journal of Physics Conference Series (2024) Vol. 2767, Iss. 5, pp. 052001-052001
Open Access

DigiWind-An Open-Source Digital Twin Framework for Wind Energy Systems
Marcus Wiens, Gernot Steindl, Carlotta Tubeuf, et al.
IEEE Access (2024) Vol. 12, pp. 84046-84063
Open Access

Digital Twin Based Identification of Passive Parameters for PMSM-Based Generating Unit by an Extended Kalman Filter for Wind Off-Shore Applications
Giulia Di Nezio, Giovanni Marini, Marco Di Benedetto, et al.
2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM) (2024), pp. 1191-1196
Closed Access

A Digital Twin for Reservoir Simulation
Eirik Keilegavlen, Eivind Fonn, Kjetil Johannessen, et al.
(2024)
Closed Access

Design for Repowering of Wind Farms: An Initial Framework
Daniel Bouzolin, Kyle Settelmaier, D. Todd Griffith
Journal of Physics Conference Series (2024) Vol. 2767, Iss. 8, pp. 082009-082009
Open Access

Federated Learning and Unlearning as Enablers of Wind Turbine Digital Twins
Florian Stadtmann, Adil Rasheed
Journal of Physics Conference Series (2024) Vol. 2767, Iss. 5, pp. 052031-052031
Open Access

Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach
Jacob Wulff Wold, Florian Stadtmann, Adil Rasheed, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109167-109167
Open Access

Enhancing wind farm energy prediction through digital twin integration
Agus Hasan, Arne G. Styve
Elsevier eBooks (2024), pp. 179-189
Closed Access

Educational Digital Twin: Tackling Complexity in Educational Big Data
Luwen Huang, Karen Willcox
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 1978-1985
Closed Access

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