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:
On the Training and Generalization of Deep Operator Networks
Sanghyun Lee, Yeonjong Shin
SIAM Journal on Scientific Computing (2024) Vol. 46, Iss. 4, pp. C273-C296
Open Access | Times Cited: 6
Sanghyun Lee, Yeonjong Shin
SIAM Journal on Scientific Computing (2024) Vol. 46, Iss. 4, pp. C273-C296
Open Access | Times Cited: 6
Showing 6 citing articles:
RiemannONets: Interpretable neural operators for Riemann problems
Ahmad Peyvan, Vivek Oommen, Ameya D. Jagtap, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 426, pp. 116996-116996
Open Access | Times Cited: 8
Ahmad Peyvan, Vivek Oommen, Ameya D. Jagtap, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 426, pp. 116996-116996
Open Access | Times Cited: 8
Transformers as neural operators for solutions of differential equations with finite regularity
BihâYaw Shih, Ahmad Peyvan, Zhongqiang Zhang, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 434, pp. 117560-117560
Closed Access | Times Cited: 3
BihâYaw Shih, Ahmad Peyvan, Zhongqiang Zhang, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 434, pp. 117560-117560
Closed Access | Times Cited: 3
RiemannONets: Interpretable Neural Operators for Riemann Problems
Ahmad Peyvan, Vivek Oommen, Ameya D. Jagtap, et al.
arXiv (Cornell University) (2024)
Open Access
Ahmad Peyvan, Vivek Oommen, Ameya D. Jagtap, et al.
arXiv (Cornell University) (2024)
Open Access
An architectural analysis of DeepOnet and a general extension of the physics-informed DeepOnet model on solving nonlinear parametric partial differential equations
Haolin Li, Yuyang Miao, Zahra Sharif Khodaei, et al.
Neurocomputing (2024) Vol. 611, pp. 128675-128675
Closed Access
Haolin Li, Yuyang Miao, Zahra Sharif Khodaei, et al.
Neurocomputing (2024) Vol. 611, pp. 128675-128675
Closed Access
A novel technique for minimizing energy functional using neural networks
Sanjeeb Poudel, Xiaoqiang Wang, Sanghyun Lee
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108313-108313
Closed Access
Sanjeeb Poudel, Xiaoqiang Wang, Sanghyun Lee
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108313-108313
Closed Access
Basis-to-basis operator learning using function encoders
Tyler Ingebrand, Adam J. Thorpe, Somdatta Goswami, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 435, pp. 117646-117646
Closed Access
Tyler Ingebrand, Adam J. Thorpe, Somdatta Goswami, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 435, pp. 117646-117646
Closed Access
