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:
Divide and conquer: Machine learning accelerated design of lead-free solder alloys with high strength and high ductility
Qinghua Wei, Bin Cao, Hao Yuan, et al.
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 9
Qinghua Wei, Bin Cao, Hao Yuan, et al.
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 9
Showing 9 citing articles:
Machine learning-enabled prediction of high-temperature oxidation resistance for Ni-based alloys
Changheng Li, Kai Xu, Ming Lou, et al.
Corrosion Science (2024) Vol. 234, pp. 112152-112152
Closed Access | Times Cited: 7
Changheng Li, Kai Xu, Ming Lou, et al.
Corrosion Science (2024) Vol. 234, pp. 112152-112152
Closed Access | Times Cited: 7
Active learning accelerates the discovery of high strength and high ductility lead-free solder alloys
Bin Cao, Tianhao Su, Shuting Yu, et al.
Materials & Design (2024) Vol. 241, pp. 112921-112921
Open Access | Times Cited: 6
Bin Cao, Tianhao Su, Shuting Yu, et al.
Materials & Design (2024) Vol. 241, pp. 112921-112921
Open Access | Times Cited: 6
Discovering novel lead-free solder alloy by multi-objective Bayesian active learning with experimental uncertainty
Qinghua Wei, Yuanhao Wang, Yang Guo, et al.
npj Computational Materials (2025) Vol. 11, Iss. 1
Open Access
Qinghua Wei, Yuanhao Wang, Yang Guo, et al.
npj Computational Materials (2025) Vol. 11, Iss. 1
Open Access
Modelling wetting angle of solder on substrate using machine learning approach
Bing-Xi Lee, Yuchen Liu
Science and Technology of Welding & Joining (2025)
Closed Access
Bing-Xi Lee, Yuchen Liu
Science and Technology of Welding & Joining (2025)
Closed Access
Machine learning inverse design of high-strength mid-temperature Ag-based solders
Chengchen Jin, Kai Xiong, Yingxu Wang, et al.
Materials & Design (2025), pp. 113736-113736
Open Access
Chengchen Jin, Kai Xiong, Yingxu Wang, et al.
Materials & Design (2025), pp. 113736-113736
Open Access
Machine Learning-Driven Design of Rare Metal Doped Niobium Alloys with Enhanced Strength and Ductility
Z. Xiong, ZhaoKun Song, Jianwei Li, et al.
Journal of Materials Research and Technology (2025)
Open Access
Z. Xiong, ZhaoKun Song, Jianwei Li, et al.
Journal of Materials Research and Technology (2025)
Open Access
Physics-Informed Machine Learning for Solder Design and Reliability Prediction for Electronics
Jia Liu, Qais Qasaimeh
(2024), pp. 1-7
Closed Access | Times Cited: 1
Jia Liu, Qais Qasaimeh
(2024), pp. 1-7
Closed Access | Times Cited: 1
A framework for computer-aided high performance titanium alloy design based on machine learning
Suyang An, Kun Li, Liang Zhu, et al.
Frontiers in Materials (2024) Vol. 11
Open Access
Suyang An, Kun Li, Liang Zhu, et al.
Frontiers in Materials (2024) Vol. 11
Open Access
An interpretable predictive framework based on rules and machine learning: rule extraction, validation and adaptive integration with machine learning
Huiran Zhang, Mengmeng Dai, Yudian Lin, et al.
Research Square (Research Square) (2024)
Open Access
Huiran Zhang, Mengmeng Dai, Yudian Lin, et al.
Research Square (Research Square) (2024)
Open Access
