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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:

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: 12

Showing 12 citing articles:

Physics-informed deep operator networks with stiffness-based loss functions for structural response prediction
Bilal Ahmed, Yuqing Qiu, Diab W. Abueidda, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110097-110097
Open Access | Times Cited: 1
Data-driven and physics-informed neural network for predicting tunnelling-induced ground deformation with sparse data of field measurement
Yingbin Liu, Shaoming Liao, Yaowen Yang, et al.
Tunnelling and Underground Space Technology (2024) Vol. 152, pp. 105951-105951
Closed Access | Times Cited: 7
Two-stage surrogate modeling strategy for predicting foundation pit excavation-induced strata and tunnel deformation
Z.-H. Liu, Qian Fang, Yi Shen, et al.
Tunnelling and Underground Space Technology (2024) Vol. 151, pp. 105845-105845
Closed Access | Times Cited: 6
Data-driven methods
O.C. Zienkiewicz, Robert L. Taylor, Perumal Nithiarasu
Elsevier eBooks (2025), pp. 485-500
Closed Access
Computational Hydro-Thermal Design of Ground Freezing in Tunneling: Optimization of Pipe Layout and Real-Time Prediction
Rodolfo Javier Williams Moises, Yaman Zendaki, Ba Trung Cao, et al.
(2025)
Closed Access
A deep operator network method for high-precision and robust real-time ocean wave prediction
Haicheng Zhang, Qi Zhang, Pengcheng Li, et al.
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
Exploration of deep operator networks for predicting the piezoionic effect
Shuyu Wang, Dingli Zhang, A.H.-J. Wang, et al.
The Journal of Chemical Physics (2025) Vol. 162, Iss. 11
Closed Access
Tunnel water inflow prediction using explainable machine learning and augmented partially missing dataset
Ming‐Shaung Ju, Guangzhao Ou, Tao Peng, et al.
Frontiers in Earth Science (2025) Vol. 13
Open Access
Design optimization of quasi-rectangular tunnels based on hyperstatic reaction method and ensemble learning
Tien Trong Nguyen, Ba Trung Cao, Van Vi Pham, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 3
Knowledge-integrated deep learning for predicting stochastic thermal regime of embankment in permafrost region
Lei Xiao, Gang Mei, Nengxiong Xu
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 2
Advancing Tunnel Construction Reliability with Automated Artificial Intelligence under Geotechnical and Aleatoric Uncertainties
Jagendra Singh, Prabhishek Singh, Vinayakumar Ravi, et al.
The Open Civil Engineering Journal (2024) Vol. 18, Iss. 1
Open Access
An advanced physics-informed neural operator for comprehensive design optimization of highly-nonlinear systems: An aerospace composites processing case study
Milad Ramezankhani, Anirudh Deodhar, Rishi Yash Parekh, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 142, pp. 109886-109886
Open Access
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