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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:

Digital twins in mechanical and aerospace engineering
Alberto Ferrari, Karen Willcox
Nature Computational Science (2024) Vol. 4, Iss. 3, pp. 178-183
Open Access | Times Cited: 17

Showing 17 citing articles:

Infrastructural, performative and feral: Understanding agri‐environmental data relations in Aotearoa New Zealand
Sarah Edwards, Matthew Henry, Christopher Rosin
New Zealand Geographer (2025)
Open Access
Revolutionizing biological digital twins: Integrating internet of bio-nano things, convolutional neural networks, and federated learning
Mohammad Jamshidi, Dinh Thai Hoang, Diep N. Nguyen, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109970-109970
Open Access
Capturing Uncertainty in the Digital Twin State – Addressing Data Storage and Data Flow Bottlenecks
Diane Villanueva, Ryan Hickey, Aleksandra Markina‐Khusid, et al.
AIAA SCITECH 2022 Forum (2025)
Closed Access
Transforming the maintenance of underground infrastructure through Digital Twins: State of the art and outlook
Huamei Zhu, Mengqi Huang, Pei-Qi Ji, et al.
Tunnelling and Underground Space Technology (2025) Vol. 161, pp. 106508-106508
Open Access
Evaluation framework for domain-specific digital twin platforms
Zhao Tang, Dayuan Zhuang, Jianjun Zhang
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Digital twins on trial: Can they actually solve wicked societal problems and change the world for better?
Nick Malleson, Rachel S. Franklin, Daniel Arribas‐Bel, et al.
Environment and Planning B Urban Analytics and City Science (2024)
Open Access | Times Cited: 3
Elevator fault diagnosis based on digital twin and PINNs-e-RGCN
Qibing Wang, Laien Chen, Gang Xiao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Digital twins in process engineering: An overview on computational and numerical methods
Luisa Peterson, Ion Victor Gosea, Peter Benner, et al.
Computers & Chemical Engineering (2024), pp. 108917-108917
Open Access | Times Cited: 1
Evaluating a Deep Learning-Based Surrogate Model in Predicting Wind Distribution for Urban Microclimates
Houzhi Wang, W. F. Mader, Jianlei Niu, et al.
Building and Environment (2024), pp. 112426-112426
Closed Access | Times Cited: 1
Domain-specific Digital Twin Platforms: Concept, Evaluation Framework and Case Study
Zhao Tang, Dayuan Zhuang, Jianjun Zhang
Research Square (Research Square) (2024)
Open Access
Uncertainty-Aware, Structure-Preserving Machine Learning Approach for Domain Shift Detection From Nonlinear Dynamic Responses of Structural Systems
David Najera-Flores, Justin Jacobs, D. Dane Quinn, et al.
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering (2024) Vol. 11, Iss. 1
Closed Access
MDO Tools in the Design and Deployment of Digital Twins: An Overview
P. Hajela
Civil-comp conferences (2024) Vol. 9, pp. 1-39
Open Access
Digital twins in sport: Concepts, taxonomies, challenges and practical potentials
Tilen Hliš, Iztok Fister, Iztok Fister
Expert Systems with Applications (2024) Vol. 258, pp. 125104-125104
Open Access
Digital twins for electric propulsion technologies
Maryam Reza, Farbod Faraji, Aaron Knoll
Journal of Electric Propulsion (2024) Vol. 3, Iss. 1
Open Access
No Risk No Progress—A Quick Tour Focusing on Materials and Structures
P.M.S.T. de Castro
Advanced structured materials (2024), pp. 187-208
Closed Access
Using digital twin in product design and development
Ray Y. Zhong, Shuaiming Su, Chenglin Yu
Elsevier eBooks (2024)
Closed Access
Animal-Morphing Bio-Inspired Mechatronic Systems: Research Framework in Robot Design to Enhance Interplanetary Exploration on the Moon
José Cornejo, Cecilia García, José Baca
Biomimetics (2024) Vol. 9, Iss. 11, pp. 693-693
Open Access
Empowering industrial robotic training with kinesthetic learning and digital twins in human-centric industrial systems
Thien Tran, Quang Minh Nguyen, Toan Luu, et al.
Journal of Industrial Information Integration (2024), pp. 100743-100743
Open Access
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