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:
Interpretation of fatigue lifetime prediction by machine learning modeling in piston aluminum alloys under different manufacturing and loading conditions
Mohammad Azadi, Mahmood Matin
Frattura ed Integrità Strutturale (2024) Vol. 18, Iss. 68, pp. 357-370
Open Access | Times Cited: 6
Mohammad Azadi, Mahmood Matin
Frattura ed Integrità Strutturale (2024) Vol. 18, Iss. 68, pp. 357-370
Open Access | Times Cited: 6
Showing 6 citing articles:
Explainable artificial intelligence modeling of internal arc in a medium voltage switchgear based on different CFD simulations
Mahmood Matin, A. Dehghanian, Mohammad Dastranj, et al.
Heliyon (2024) Vol. 10, Iss. 8, pp. e29594-e29594
Open Access | Times Cited: 6
Mahmood Matin, A. Dehghanian, Mohammad Dastranj, et al.
Heliyon (2024) Vol. 10, Iss. 8, pp. e29594-e29594
Open Access | Times Cited: 6
Improving mechanical properties of lattice structures using nonuniform hollow struts
Chuang Liu, Rui Ni, Kang Ji, et al.
International Journal of Mechanical Sciences (2024) Vol. 283, pp. 109674-109674
Closed Access | Times Cited: 6
Chuang Liu, Rui Ni, Kang Ji, et al.
International Journal of Mechanical Sciences (2024) Vol. 283, pp. 109674-109674
Closed Access | Times Cited: 6
Modeling Nonlinear Deformation in Magnetic Polyelectrolyte Hydrogels: A Hybrid FEM-Machine Learning Framework
Hadi Mehdipour, H. Darijani, Mahmood Matin, et al.
Results in Engineering (2025), pp. 104503-104503
Open Access
Hadi Mehdipour, H. Darijani, Mahmood Matin, et al.
Results in Engineering (2025), pp. 104503-104503
Open Access
A novel machine learning-based model for predicting the transition fatigue lifetime in piston aluminum alloys
Mahmood Matin, Mohammad Azadi
International Journal of Lightweight Materials and Manufacture (2024) Vol. 7, Iss. 5, pp. 641-647
Open Access | Times Cited: 2
Mahmood Matin, Mohammad Azadi
International Journal of Lightweight Materials and Manufacture (2024) Vol. 7, Iss. 5, pp. 641-647
Open Access | Times Cited: 2
Interpretable machine learning modeling of temperature rise in a medium voltage switchgear using multiphysics CFD analysis
Mahmood Matin, A. Dehghanian, Amir Hossein Zeinaddini, et al.
Case Studies in Thermal Engineering (2024) Vol. 65, pp. 105585-105585
Closed Access | Times Cited: 1
Mahmood Matin, A. Dehghanian, Amir Hossein Zeinaddini, et al.
Case Studies in Thermal Engineering (2024) Vol. 65, pp. 105585-105585
Closed Access | Times Cited: 1
Explainable machine learning-based fatigue assessment of 316L stainless steel fabricated by laser-powder bed fusion
Xiru Wang, Moritz Braun
International Journal of Fatigue (2024) Vol. 190, pp. 108588-108588
Open Access
Xiru Wang, Moritz Braun
International Journal of Fatigue (2024) Vol. 190, pp. 108588-108588
Open Access
