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OpenAlex Citation Counts

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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:

Deep transfer operator learning for partial differential equations under conditional shift
Somdatta Goswami, Katiana Kontolati, Michael D. Shields, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 12, pp. 1155-1164
Closed Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Physics-Informed Deep Neural Operator Networks
Somdatta Goswami, Aniruddha Bora, Yue Yu, et al.
Computational methods in engineering & the sciences (2023), pp. 219-254
Closed Access | Times Cited: 53
Conceptualizing future groundwater models through a ternary framework of multisource data, human expertise, and machine intelligence
Chuanjun Zhan, Zhenxue Dai, Shangxian Yin, et al.
Water Research (2024) Vol. 257, pp. 121679-121679
Closed Access | Times Cited: 35
Explaining the physics of transfer learning in data-driven turbulence modeling
Adam Subel, Yifei Guan, Ashesh Chattopadhyay, et al.
PNAS Nexus (2023) Vol. 2, Iss. 3
Open Access | Times Cited: 37
Long-term predictions of turbulence by implicit U-Net enhanced Fourier neural operator
Zhijie Li, Wenhui Peng, Zelong Yuan, et al.
Physics of Fluids (2023) Vol. 35, Iss. 7
Open Access | Times Cited: 30
Learning stiff chemical kinetics using extended deep neural operators
Somdatta Goswami, Ameya D. Jagtap, Hessam Babaee, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 419, pp. 116674-116674
Open Access | Times Cited: 24
Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems
Katiana Kontolati, Somdatta Goswami, George Em Karniadakis, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 16
A multi-fidelity deep operator network (DeepONet) for fusing simulation and monitoring data: Application to real-time settlement prediction during tunnel construction
Xu Chen, Ba Trung Cao, Yong Yuan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108156-108156
Open Access | Times Cited: 14
Sound propagation in realistic interactive 3D scenes with parameterized sources using deep neural operators
Nikolas Borrel-Jensen, Somdatta Goswami, Allan P. Engsig‐Karup, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 2
Open Access | Times Cited: 9
Leveraging Multitime Hamilton–Jacobi PDEs for Certain Scientific Machine Learning Problems
Paula Chen, Tingwei Meng, Zongren Zou, et al.
SIAM Journal on Scientific Computing (2024) Vol. 46, Iss. 2, pp. C216-C248
Open Access | Times Cited: 9
Diffeomorphism neural operator for various domains and parameters of partial differential equations
Zhao Zhiwei, Changqing Liu, Yingguang Li, et al.
Communications Physics (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1
Deep neural operators can predict the real-time response of floating offshore structures under irregular waves
Qianying Cao, Somdatta Goswami, Tapas Tripura, et al.
Computers & Structures (2023) Vol. 291, pp. 107228-107228
Open Access | Times Cited: 20
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: 8
Blending neural operators and relaxation methods in PDE numerical solvers
Enrui Zhang, Adar Kahana, Alena Kopaničáková, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 11, pp. 1303-1313
Closed Access | Times Cited: 7
In-context operator learning with data prompts for differential equation problems
Liu Yang, Shuyan Liu, Tingwei Meng, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 39
Open Access | Times Cited: 15
A hybrid Decoder-DeepONet operator regression framework for unaligned observation data
Bo Chen, Chenyu Wang, Weipeng Li, et al.
Physics of Fluids (2024) Vol. 36, Iss. 2
Open Access | Times Cited: 6
Neural Operator Learning for Long-Time Integration in Dynamical Systems with Recurrent Neural Networks
Katarzyna Michałowska, Somdatta Goswami, George Em Karniadakis, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access | Times Cited: 6
Stacked networks improve physics-informed training: Applications to neural networks and deep operator networks
Amanda A. Howard, Sarah H. Murphy, Shady E. Ahmed, et al.
Foundations of Data Science (2024) Vol. 7, Iss. 1, pp. 134-162
Open Access | Times Cited: 5
Linear attention coupled Fourier neural operator for simulation of three-dimensional turbulence
Wenhui Peng, Zelong Yuan, Zhijie Li, et al.
Physics of Fluids (2022) Vol. 35, Iss. 1
Open Access | Times Cited: 21
On the locality of local neural operator in learning fluid dynamics
Ximeng Ye, Hongyu Li, Jingjie Huang, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 427, pp. 117035-117035
Open Access | Times Cited: 4
PDE generalization of in-context operator networks: A study on 1D scalar nonlinear conservation laws
Liu Yang, Stanley Osher
Journal of Computational Physics (2024) Vol. 519, pp. 113379-113379
Open Access | Times Cited: 4
Transformers as neural operators for solutions of differential equations with finite regularity
Bih‐Yaw Shih, Ahmad Peyvan, Zhongqiang Zhang, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 434, pp. 117560-117560
Closed Access | Times Cited: 4
Physics-informed learning for thermophysical field reconstruction and parameter measurement in a nano-porous insulator's heat transfer problem
Hao-Qiang Pang, Xia Shao, Zi-Tong Zhang, et al.
International Communications in Heat and Mass Transfer (2023) Vol. 148, pp. 107045-107045
Closed Access | Times Cited: 10
Synergistic learning with multi-task DeepONet for efficient PDE problem solving
Varun Kumar, Somdatta Goswami, Katiana Kontolati, et al.
Neural Networks (2025) Vol. 184, pp. 107113-107113
Closed Access
Point Cloud Neural Operator for Parametric Pdes on Complex and Variable Geometries
Chenyu Zeng, Yanshu Zhang, Jiayi Zhou, et al.
(2025)
Closed Access
From Penalty Function to Learning-Driven: Evolution and Perspectives of Constrained Multi-Objective Evolutionary Algorithm
Min Hu, Gang Huang, Xueying Yang, et al.
(2025)
Closed Access
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