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:

Scaling digital twins from the artisanal to the industrial
Steven Niederer, Michael S. Sacks, Mark Girolami, et al.
Nature Computational Science (2021) Vol. 1, Iss. 5, pp. 313-320
Closed Access | Times Cited: 157

Showing 1-25 of 157 citing articles:

Enhancing computational fluid dynamics with machine learning
Ricardo Vinuesa, Steven L. Brunton
Nature Computational Science (2022) Vol. 2, Iss. 6, pp. 358-366
Open Access | Times Cited: 296

Developing a conceptual framework for the application of digital twin technologies to revamp building operation and maintenance processes
Jianfeng Zhao, Haibo Feng, Qian Chen, et al.
Journal of Building Engineering (2022) Vol. 49, pp. 104028-104028
Open Access | Times Cited: 119

Potential and limitations of digital twins to achieve the Sustainable Development Goals
Asaf Tzachor, Soheil Sabri, Catherine E. Richards, et al.
Nature Sustainability (2022) Vol. 5, Iss. 10, pp. 822-829
Closed Access | Times Cited: 117

BlockNet: Beyond reliable spatial Digital Twins to Parallel Metaverse
Zhihan Lv, Liang Qiao, Yuxi Li, et al.
Patterns (2022) Vol. 3, Iss. 5, pp. 100468-100468
Open Access | Times Cited: 93

Industrial digital twins at the nexus of NextG wireless networks and computational intelligence: A survey
Shah Zeb, Aamir Mahmood, Syed Ali Hassan, et al.
Journal of Network and Computer Applications (2022) Vol. 200, pp. 103309-103309
Open Access | Times Cited: 89

A concise guide to modelling the physics of embodied intelligence in soft robotics
Gianmarco Mengaldo, Federico Renda, Steven L. Brunton, et al.
Nature Reviews Physics (2022) Vol. 4, Iss. 9, pp. 595-610
Open Access | Times Cited: 78

The role of complexity for digital twins of cities
Guido Caldarelli, Elsa Arcaute, Marc Barthélemy, et al.
Nature Computational Science (2023) Vol. 3, Iss. 5, pp. 374-381
Open Access | Times Cited: 64

The transformative potential of machine learning for experiments in fluid mechanics
Ricardo Vinuesa, Steven L. Brunton, Beverley McKeon
Nature Reviews Physics (2023) Vol. 5, Iss. 9, pp. 536-545
Closed Access | Times Cited: 56

A digital twin framework for civil engineering structures
Matteo Torzoni, Marco Tezzele, Stefano Mariani, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 418, pp. 116584-116584
Open Access | Times Cited: 53

Advancements and challenges of digital twins in industry
Fei Tao, He Zhang, Chenyuan Zhang
Nature Computational Science (2024) Vol. 4, Iss. 3, pp. 169-177
Open Access | Times Cited: 51

Novel Ramanujan Digital Twin for Motor Periodic Fault Monitoring and Detection
Wenyang Hu, Tianyang Wang, Fulei Chu
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 12, pp. 11564-11572
Closed Access | Times Cited: 41

Metaverse Wearables for Immersive Digital Healthcare: A Review
Kisoo Kim, Hyosill Yang, Ji-Hun Lee, et al.
Advanced Science (2023) Vol. 10, Iss. 31
Open Access | Times Cited: 41

Digital twins in safety analysis, risk assessment and emergency management
Enrico Zio, Leonardo Miqueles
Reliability Engineering & System Safety (2024) Vol. 246, pp. 110040-110040
Open Access | Times Cited: 26

Digital twins in city planning
Michael Batty
Nature Computational Science (2024) Vol. 4, Iss. 3, pp. 192-199
Open Access | Times Cited: 24

Virtual brain twins: from basic neuroscience to clinical use
Huifang Wang, Paul Triebkorn, Martin Breyton, et al.
National Science Review (2024) Vol. 11, Iss. 5
Open Access | Times Cited: 22

Patient-Specific, Mechanistic Models of Tumor Growth Incorporating Artificial Intelligence and Big Data
Guillermo Lorenzo, Syed Rakin Ahmed, David A. Hormuth, et al.
Annual Review of Biomedical Engineering (2024) Vol. 26, Iss. 1, pp. 529-560
Open Access | Times Cited: 17

Reflecting City Digital Twins (CDTs) for sustainable urban development: Roles, challenges and directions
Qian-Cheng Wang, Maoran Sun, Xuan Liu, et al.
Digital engineering. (2025), pp. 100035-100035
Open Access | Times Cited: 3

Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology
Chengyue Wu, Guillermo Lorenzo, David A. Hormuth, et al.
Biophysics Reviews (2022) Vol. 3, Iss. 2
Open Access | Times Cited: 66

A digital twin hierarchy for metal additive manufacturing
Arden Phua, C.H.J. Davies, Gary W. Delaney
Computers in Industry (2022) Vol. 140, pp. 103667-103667
Closed Access | Times Cited: 65

Digital Twins in the Construction Industry: A Perspective of Practitioners and Building Authority
Ashtarout Ammar, Hala Nassereddine, Nadine AbdulBaky, et al.
Frontiers in Built Environment (2022) Vol. 8
Open Access | Times Cited: 65

Robust triboelectric information‐mat enhanced by multi‐modality deep learning for smart home
Yanqin Yang, Qiongfeng Shi, Zixuan Zhang, et al.
InfoMat (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 65

Machine Learning for Cardiovascular Biomechanics Modeling: Challenges and Beyond
Amirhossein Arzani, Jianxun Wang, Michael S. Sacks, et al.
Annals of Biomedical Engineering (2022) Vol. 50, Iss. 6, pp. 615-627
Closed Access | Times Cited: 60

Computer Vision Enabled Building Digital Twin Using Building Information Model
Xiaoping Zhou, Kaiyue Sun, Jia Wang, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 3, pp. 2684-2692
Closed Access | Times Cited: 57

Digital Twins for Materials
Surya R. Kalidindi, Michael Buzzy, Brad Boyce, et al.
Frontiers in Materials (2022) Vol. 9
Open Access | Times Cited: 44

Enabling battery digital twins at the industrial scale
Matthieu Dubarry, David A. Howey, Billy Wu
Joule (2023) Vol. 7, Iss. 6, pp. 1134-1144
Open Access | Times Cited: 33

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