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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:

A framework for neural network based constitutive modelling of inelastic materials
Wulf G. Dettmer, Eugenio J. Muttio, Reem Alhayki, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 420, pp. 116672-116672
Open Access | Times Cited: 10

Showing 10 citing articles:

On the use of physics-based constraints and validation KPI for data-driven elastoplastic constitutive modelling
Rúben Lourenço, Aiman Tariq, Pétia Georgieva, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 437, pp. 117743-117743
Open Access | Times Cited: 2
FE-LSTM: A hybrid approach to accelerate multiscale simulations of architectured materials using Recurrent Neural Networks and Finite Element Analysis
Aymen Danoun, Étienne Prulière, Yves Chemisky
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 429, pp. 117192-117192
Open Access | Times Cited: 5
Distinguish the calibration of conventional and data-driven constitutive model: the role of state boundary surfaces
Zhihui Wang, Roberto Cudmani, Andrés Alfonso Peña Olarte
Journal of the Mechanics and Physics of Solids (2025), pp. 106122-106122
Closed Access
A supervised parallel optimisation framework for metaheuristic algorithms
Eugenio J. Muttio, Wulf G. Dettmer, J. Clarke, et al.
Swarm and Evolutionary Computation (2023) Vol. 84, pp. 101445-101445
Open Access | Times Cited: 10
Data-driven continuum damage mechanics with built-in physics
Vahidullah Taç, Ellen Kuhl, Adrián Buganza Tepole
Extreme Mechanics Letters (2024) Vol. 71, pp. 102220-102220
Closed Access | Times Cited: 2
Accelerating simulations of strained-film growth by deep learning: Finite element method accuracy over long time scales
Daniele Lanzoni, Fabrizio Rovaris, Luis Martín‐Encinar, et al.
APL Machine Learning (2024) Vol. 2, Iss. 3
Open Access | Times Cited: 2
Machine learning-based constitutive modelling for material non-linearity: A review
Arif Hussain, Amir Hosein Sakhaei, Mahmood Shafiee
Mechanics of Advanced Materials and Structures (2024), pp. 1-19
Open Access | Times Cited: 2
Data-Driven Continuum Damage Mechanics with Built-In Physics
Vahidullah Taç, Ellen Kuhl, Adrián Buganza Tepole
(2024)
Closed Access
Data-driven computational mechanics: comparison of model-free and model-based methods in constitutive modeling
Julien Philipp Stöcker, Selina Heinzig, Abhinav Anil Khedkar, et al.
Archive of Applied Mechanics (2024) Vol. 94, Iss. 9, pp. 2683-2718
Open Access
Data-driven mechanical behavior modeling of granular biomass materials
Xuyang Li, Wencheng Jin, Jordan Klinger, et al.
Computers and Geotechnics (2024) Vol. 177, pp. 106907-106907
Closed Access
An efficient kernel learning-based constitutive model for cyclic plasticity in nonlinear finite element analysis
Yue Liao, Huan Luo
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 436, pp. 117700-117700
Closed Access
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