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 novel microstructure-informed machine learning framework for mechanical property evaluation of SiCf/Ti composites
Wenqi Hao, Duoqi Shi, Changqi Liu, et al.
Journal of Materials Research and Technology (2023) Vol. 28, pp. 420-433
Open Access | Times Cited: 5
Wenqi Hao, Duoqi Shi, Changqi Liu, et al.
Journal of Materials Research and Technology (2023) Vol. 28, pp. 420-433
Open Access | Times Cited: 5
Showing 5 citing articles:
Predictive mechanical property and fracture behavior in high-carbon steel containing high-density carbides via artificial RVE modeling
Huiling Wang, Dongsheng Qian, Feng Wang, et al.
Materials & Design (2024) Vol. 247, pp. 113383-113383
Open Access | Times Cited: 33
Huiling Wang, Dongsheng Qian, Feng Wang, et al.
Materials & Design (2024) Vol. 247, pp. 113383-113383
Open Access | Times Cited: 33
Comparative Analysis of Machine Learning Models for Predicting the Mechanical Behavior of Bio-Based Cellular Composite Sandwich Structures
Danial Sheini Dashtgoli, Seyedahmad Taghizadeh, Lorenzo Macconi, et al.
Materials (2024) Vol. 17, Iss. 14, pp. 3493-3493
Open Access | Times Cited: 6
Danial Sheini Dashtgoli, Seyedahmad Taghizadeh, Lorenzo Macconi, et al.
Materials (2024) Vol. 17, Iss. 14, pp. 3493-3493
Open Access | Times Cited: 6
Thermal cycling performance of GYbZ/YSZ thermal barrier coatings with different microstructures based on finite element simulation
Chengyang Jiang, Wenqi Hao, Changqi Liu, et al.
Journal of Alloys and Compounds (2024), pp. 177185-177185
Closed Access | Times Cited: 5
Chengyang Jiang, Wenqi Hao, Changqi Liu, et al.
Journal of Alloys and Compounds (2024), pp. 177185-177185
Closed Access | Times Cited: 5
Machine learning algorithms based approach on prediction of mechanical behaviour of PLA/brass composites manufactured by additive manufacturing
Nisha Soms, K. Ravikumar, M Naveen Kumar
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2025)
Closed Access
Nisha Soms, K. Ravikumar, M Naveen Kumar
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2025)
Closed Access
What can machine learning help with microstructure-informed materials modeling and design?
Xiang-Long Peng, Mozhdeh Fathidoost, Binbin Lin, et al.
MRS Bulletin (2024)
Open Access | Times Cited: 2
Xiang-Long Peng, Mozhdeh Fathidoost, Binbin Lin, et al.
MRS Bulletin (2024)
Open Access | Times Cited: 2
