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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:

Advances and opportunities in high-throughput small-scale mechanical testing
Daniel S. Gianola, Nicolò Maria della Ventura, Glenn H. Balbus, et al.
Current Opinion in Solid State and Materials Science (2023) Vol. 27, Iss. 4, pp. 101090-101090
Open Access | Times Cited: 16

Showing 16 citing articles:

Accelerated discovery of nanostructured high-entropy and multicomponent alloys via high-throughput strategies
Changjun Cheng, Yu Zou
Progress in Materials Science (2025), pp. 101429-101429
Open Access | Times Cited: 1
Continuous High-Throughput Characterization of Mechanical Properties via Deep Learning
Guohua Zhu, Xueyan Hu, Rui‐Ying Bao, et al.
International Journal of Mechanical Sciences (2025), pp. 110137-110137
Closed Access | Times Cited: 1
Towards a data platform for multimodal 4D mechanics of material microstructures
Aldo Marano, Clément Ribart, Henry Proudhon
Materials & Design (2024) Vol. 246, pp. 113306-113306
Open Access | Times Cited: 5
Nanoindentation-based techniques for evaluating irradiated fuel and structural materials
D. Frazer, Peter Hosemann
Elsevier eBooks (2025), pp. 571-597
Closed Access
Comparative Study of the Tensile Properties of a Zircaloy-4 Alloy Characterized by Mesoscale and Standard Specimens
Ruifen Dong, Ning Zhao, Shi-Yuan Tong, et al.
Materials (2025) Vol. 18, Iss. 3, pp. 666-666
Open Access
High-Throughput Experiments and Machine Learning Strategies for Efficient Exploration of Additively Manufactured Inconel 625
Z. S. Courtright, Aditya Venkatraman, Berkay Yucel, et al.
Acta Materialia (2025), pp. 120875-120875
Closed Access
Specimen size effects on tensile properties of cold worked RAFM steel
Pinghan Chen, Xiaochen Li, Chang Li, et al.
Fusion Engineering and Design (2025) Vol. 216, pp. 115093-115093
Closed Access
A Comprehensive Review on Combinatorial Film via High-Throughput Techniques
Dongxin Wang, Wei Jiang, Shurong Li, et al.
Materials (2023) Vol. 16, Iss. 20, pp. 6696-6696
Open Access | Times Cited: 9
A Perspective on Democratizing Mechanical Testing: Harnessing Artificial Intelligence to Advance Sustainable Material Adoption and Decentralized Manufacturing
Christos E. Athanasiou, Xing Liu, Huajian Gao
Journal of Applied Mechanics (2024) Vol. 91, Iss. 11
Closed Access | Times Cited: 3
Neural Network Supported Microscale In Situ Deformation Tracking: A Comparative Study of Testing Geometries
Julius F. Keckes, Alexander Jelinek, Daniel Kiener, et al.
JOM (2024) Vol. 76, Iss. 5, pp. 2336-2351
Open Access | Times Cited: 2
Nanomechanical characterization
Daniel Kiener, Amit Misra
MRS Bulletin (2023) Vol. 49, Iss. 3, pp. 214-223
Open Access | Times Cited: 6
Unveiling the mechanical properties of near-surface microstructures in tribological contacts via in-situ micro-bending tests
Matthias Freisinger, Manel Rodríguez Ripoll, Rainer Hahn
Tribology International (2023) Vol. 191, pp. 109190-109190
Open Access | Times Cited: 2
Research on the application method of agricultural machinery engineering automation based on multimodal characteristics
Xianggeng Wang, Yujia Fan
Applied Mathematics and Nonlinear Sciences (2024) Vol. 9, Iss. 1
Open Access
Virtual rapid prototyping of materials with deep learning: spatiotemporal stress fields prediction in ceramics employing convolutional neural networks and transfer learning
Mohammad Rezasefat, James D. Hogan
Virtual and Physical Prototyping (2024) Vol. 19, Iss. 1
Open Access
Continuous High-Throughput Characterization of Mechanical Properties Via Deep Learning
Guohua Zhu, Xueyan Hu, Weiqiu Chen
(2024)
Closed Access
Extracting high-temperature stress-strain curves from a 1.2 µm silicon film using spherical nanoindentation
Gerald J.K. Schaffar, Daniel Tscharnuter, Peter Julian Imrich, et al.
Thin Solid Films (2024), pp. 140597-140597
Open Access
The next generation of nanoindentation and small-scale mechanical testing
Marco Sebastiani
Current Opinion in Solid State and Materials Science (2023) Vol. 27, Iss. 6, pp. 101115-101115
Closed Access
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