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: 8
Xu Chen, Ba Trung Cao, Yong Yuan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108156-108156
Open Access | Times Cited: 8
Showing 8 citing articles:
Data-driven methods
O.C. Zienkiewicz, Robert L. Taylor, Perumal Nithiarasu
Elsevier eBooks (2025), pp. 485-500
Closed Access
O.C. Zienkiewicz, Robert L. Taylor, Perumal Nithiarasu
Elsevier eBooks (2025), pp. 485-500
Closed Access
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
Bilal Ahmed, Yuqing Qiu, Diab W. Abueidda, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110097-110097
Open Access
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: 3
Z.-H. Liu, Qian Fang, Yi Shen, et al.
Tunnelling and Underground Space Technology (2024) Vol. 151, pp. 105845-105845
Closed Access | Times Cited: 3
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: 3
Yingbin Liu, Shaoming Liao, Yaowen Yang, et al.
Tunnelling and Underground Space Technology (2024) Vol. 152, pp. 105951-105951
Closed 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: 1
Lei Xiao, Gang Mei, Nengxiong Xu
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 1
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
Jagendra Singh, Prabhishek Singh, Vinayakumar Ravi, et al.
The Open Civil Engineering Journal (2024) Vol. 18, Iss. 1
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
Tien Trong Nguyen, Ba Trung Cao, Van Vi Pham, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
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
Milad Ramezankhani, Anirudh Deodhar, Rishi Yash Parekh, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 142, pp. 109886-109886
Open Access
