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:
Physics-guided Bayesian neural networks by ABC-SS: Application to reinforced concrete columns
Juan Fernández, Juan Chiachío, Manuel Chiachío, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 119, pp. 105790-105790
Open Access | Times Cited: 15
Juan Fernández, Juan Chiachío, Manuel Chiachío, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 119, pp. 105790-105790
Open Access | Times Cited: 15
Showing 15 citing articles:
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: 10
Xu Chen, Ba Trung Cao, Yong Yuan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108156-108156
Open Access | Times Cited: 10
Machine learning guided design of microencapsulated phase change materials-incorporated concretes for enhanced freeze-thaw durability
Hewenxuan Li, Gideon A. Lyngdoh, N. M. Anoop Krishnan, et al.
Cement and Concrete Composites (2023) Vol. 140, pp. 105090-105090
Open Access | Times Cited: 20
Hewenxuan Li, Gideon A. Lyngdoh, N. M. Anoop Krishnan, et al.
Cement and Concrete Composites (2023) Vol. 140, pp. 105090-105090
Open Access | Times Cited: 20
Physics-based self-adaptive algorithm for estimating the long-term performance of concrete shrinkage
Wafaa Mohamed Shaban, Shui‐Long Shen, Ayat Gamal Ashour, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109945-109945
Closed Access
Wafaa Mohamed Shaban, Shui‐Long Shen, Ayat Gamal Ashour, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109945-109945
Closed Access
A hybrid probabilistic battery health management approach for robust inspection drone operations
Jokin Alcibar, Jose Ignacio Aizpurua, Ekhi Zugasti, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110246-110246
Closed Access
Jokin Alcibar, Jose Ignacio Aizpurua, Ekhi Zugasti, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110246-110246
Closed Access
Towards reliable uncertainty quantification via deep ensemble in multi-output regression task
Sunwoong Yang, Kwanjung Yee
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107871-107871
Closed Access | Times Cited: 4
Sunwoong Yang, Kwanjung Yee
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107871-107871
Closed Access | Times Cited: 4
Application of artificial intelligence in coal mine ultra-deep roadway engineering—a review
Bingbing Yu, Bo Wang, Yuantong Zhang
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 3
Bingbing Yu, Bo Wang, Yuantong Zhang
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 3
PHYSICS-INFORMED POINTNET: ON HOW MANY IRREGULAR GEOMETRIES CAN IT SOLVE AN INVERSE PROBLEM SIMULTANEOUSLY? APPLICATION TO LINEAR ELASTICITY
Ali Kashefi, Leonidas Guibas, Tapan Mukerji
Journal of Machine Learning for Modeling and Computing (2023) Vol. 4, Iss. 4, pp. 1-25
Open Access | Times Cited: 8
Ali Kashefi, Leonidas Guibas, Tapan Mukerji
Journal of Machine Learning for Modeling and Computing (2023) Vol. 4, Iss. 4, pp. 1-25
Open Access | Times Cited: 8
Training of physics-informed Bayesian neural networks with ABC-SS for prognostic of Li-ion batteries
Juan Fernández, Matteo Corbetta, Chetan S. Kulkarni, et al.
Computers in Industry (2023) Vol. 155, pp. 104058-104058
Open Access | Times Cited: 8
Juan Fernández, Matteo Corbetta, Chetan S. Kulkarni, et al.
Computers in Industry (2023) Vol. 155, pp. 104058-104058
Open Access | Times Cited: 8
Residual-based attention Physics-informed Neural Networks for spatio-temporal ageing assessment of transformers operated in renewable power plants
Ibai Ramirez, Joel Pino Gómez, David Pardo, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109556-109556
Open Access | Times Cited: 2
Ibai Ramirez, Joel Pino Gómez, David Pardo, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109556-109556
Open Access | Times Cited: 2
A hybrid physics-data driven approach for vehicle dynamics state estimation
Qin Li, Boyuan Zhang, Hongwen He, et al.
Mechanical Systems and Signal Processing (2024) Vol. 225, pp. 112249-112249
Closed Access | Times Cited: 2
Qin Li, Boyuan Zhang, Hongwen He, et al.
Mechanical Systems and Signal Processing (2024) Vol. 225, pp. 112249-112249
Closed Access | Times Cited: 2
Predicting abrasion resistance of concrete containing plastic waste, fly ash, and graphene nanoplatelets using an artificial neural network and response surface methodology
Musa Adamu, Khalil Ur Rehman, Yasser E. Ibrahim, et al.
AIP Advances (2023) Vol. 13, Iss. 9
Open Access | Times Cited: 5
Musa Adamu, Khalil Ur Rehman, Yasser E. Ibrahim, et al.
AIP Advances (2023) Vol. 13, Iss. 9
Open Access | Times Cited: 5
Efficient machine learning models for estimation of compressive strengths of zeolite and diatomite substituting concrete in sodium chloride solution
Gıyasettin ÖZCAN, Burak Koçak, Eyyup Gülbandılar, et al.
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 10, pp. 14241-14256
Open Access | Times Cited: 1
Gıyasettin ÖZCAN, Burak Koçak, Eyyup Gülbandılar, et al.
Arabian Journal for Science and Engineering (2024) Vol. 49, Iss. 10, pp. 14241-14256
Open Access | Times Cited: 1
A physics guided data-driven prediction method for dynamic and static feature fusion modeling of rolling force in steel strip production
Song Yong, Wendan Xiao, Fenjia Wang, et al.
Control Engineering Practice (2024) Vol. 151, pp. 106039-106039
Closed Access
Song Yong, Wendan Xiao, Fenjia Wang, et al.
Control Engineering Practice (2024) Vol. 151, pp. 106039-106039
Closed Access
Data and model synergy-driven rolling bearings remaining useful life prediction approach based on deep neural network and Wiener process
Yonghuai Zhu, Xiaoya Zhou, Jiangfeng Cheng, et al.
Journal of Manufacturing Science and Engineering (2024) Vol. 147, Iss. 4
Closed Access
Yonghuai Zhu, Xiaoya Zhou, Jiangfeng Cheng, et al.
Journal of Manufacturing Science and Engineering (2024) Vol. 147, Iss. 4
Closed Access
Gearbox pump failure prognostics in offshore wind turbine by an integrated data-driven model
Wanwan Zhang, Jørn Vatn, Adil Rasheed
Applied Energy (2024) Vol. 380, pp. 124829-124829
Open Access
Wanwan Zhang, Jørn Vatn, Adil Rasheed
Applied Energy (2024) Vol. 380, pp. 124829-124829
Open Access
