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:
Conformalized-DeepONet: A distribution-free framework for uncertainty quantification in deep operator networks
Christian Moya, Amirhossein Mollaali, Zecheng Zhang, et al.
Physica D Nonlinear Phenomena (2024), pp. 134418-134418
Closed Access | Times Cited: 4
Christian Moya, Amirhossein Mollaali, Zecheng Zhang, et al.
Physica D Nonlinear Phenomena (2024), pp. 134418-134418
Closed Access | Times Cited: 4
Showing 4 citing articles:
A survey on machine learning approaches for uncertainty quantification of engineering systems
Yan Shi, Pengfei Wei, Ke Feng, et al.
Machine learning for computational science and engineering (2025) Vol. 1, Iss. 1
Open Access
Yan Shi, Pengfei Wei, Ke Feng, et al.
Machine learning for computational science and engineering (2025) Vol. 1, Iss. 1
Open Access
Harnessing large language models for data-scarce learning of polymer properties
Ning Liu, Siavash Jafarzadeh, Brian Y. Lattimer, et al.
Nature Computational Science (2025)
Closed Access
Ning Liu, Siavash Jafarzadeh, Brian Y. Lattimer, et al.
Nature Computational Science (2025)
Closed Access
Towards a foundation model for partial differential equations: Multioperator learning and extrapolation
Jingmin Sun, Yuxuan Liu, Zecheng Zhang, et al.
Physical review. E (2025) Vol. 111, Iss. 3
Closed Access
Jingmin Sun, Yuxuan Liu, Zecheng Zhang, et al.
Physical review. E (2025) Vol. 111, Iss. 3
Closed Access
MODNO: Multi-Operator learning with Distributed Neural Operators
Zecheng Zhang
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 431, pp. 117229-117229
Open Access | Times Cited: 1
Zecheng Zhang
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 431, pp. 117229-117229
Open Access | Times Cited: 1
Towards Gaussian Process for operator learning: An uncertainty aware resolution independent operator learning algorithm for computational mechanics
Sawan Kumar, Rajdip Nayek, Souvik Chakraborty
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 435, pp. 117664-117664
Closed Access
Sawan Kumar, Rajdip Nayek, Souvik Chakraborty
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 435, pp. 117664-117664
Closed Access
