
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 recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics
Juan Fernández, Juan Chiachío, José A. Cabezas, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109822-109822
Open Access | Times Cited: 18
Juan Fernández, Juan Chiachío, José A. Cabezas, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109822-109822
Open Access | Times Cited: 18
Showing 18 citing articles:
Simulation-free reliability analysis with importance sampling-based adaptive training physics-informed neural networks: Method and application to chloride penetration
Chaolin Song, Rucheng Xiao, Chi Zhang, et al.
Reliability Engineering & System Safety (2024) Vol. 246, pp. 110083-110083
Closed Access | Times Cited: 11
Chaolin Song, Rucheng Xiao, Chi Zhang, et al.
Reliability Engineering & System Safety (2024) Vol. 246, pp. 110083-110083
Closed Access | Times Cited: 11
Physics-informed Gaussian Process Probabilistic Modeling with Multi-source Data for Prognostics of Degradation Processes
Chen Jiang, Teng Zhong, Hyunhee Choi, et al.
Reliability Engineering & System Safety (2025), pp. 110893-110893
Closed Access | Times Cited: 1
Chen Jiang, Teng Zhong, Hyunhee Choi, et al.
Reliability Engineering & System Safety (2025), pp. 110893-110893
Closed Access | Times Cited: 1
Probabilistic remaining useful life prediction without lifetime labels: A Bayesian deep learning and stochastic process fusion method
Junlin Pan, Bo Sun, Zeyu Wu, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110313-110313
Closed Access | Times Cited: 6
Junlin Pan, Bo Sun, Zeyu Wu, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110313-110313
Closed Access | Times Cited: 6
Evaluating the Reliability of Machine-Learning-based Predictions used in Nuclear Power Plant Instrumentation and Control Systems
Edward Chen, Han Bao, Nam Dinh
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110266-110266
Closed Access | Times Cited: 5
Edward Chen, Han Bao, Nam Dinh
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110266-110266
Closed Access | Times Cited: 5
High-dimensional points selection strategy for PDEM-based stochastic dynamic analysis of structures
Jun Xu, Yang Zhang, Jie Li
Reliability Engineering & System Safety (2025), pp. 110849-110849
Closed Access
Jun Xu, Yang Zhang, Jie Li
Reliability Engineering & System Safety (2025), pp. 110849-110849
Closed Access
Improved electric load forecasting using quantile long short-term memory network with dual attention mechanism
Shalin Shah, Ubaid Ahmed, Muhammad Bilal, et al.
Energy Reports (2025) Vol. 13, pp. 2343-2353
Closed Access
Shalin Shah, Ubaid Ahmed, Muhammad Bilal, et al.
Energy Reports (2025) Vol. 13, pp. 2343-2353
Closed Access
Intrusion Detection System for Network Security Using Novel Adaptive Recurrent Neural Network-Based Fox Optimizer Concept
R. Manivannan, S. Senthilkumar
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access
R. Manivannan, S. Senthilkumar
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access
Improving resolution of turbulent flow field prediction using limited measurements and Bayesian inferred physics-informed neural network
Nagendra Kumar Chaurasia, Shubhankar Chakraborty
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
Nagendra Kumar Chaurasia, Shubhankar Chakraborty
Physics of Fluids (2025) Vol. 37, Iss. 3
Closed Access
Recursive Neural Network for Solving Chromatographic Gradient Elution Curve
Shoujiang Li, Shaoyan Wang
(2025)
Closed Access
Shoujiang Li, Shaoyan Wang
(2025)
Closed Access
Response and reliability analysis of a nonlinear VEH systems with FOPID controller by improved stochastic averaging method and LBFNN algorithm
Yu Guan, Wei Li, Dražan Kozak, et al.
Reliability Engineering & System Safety (2024) Vol. 249, pp. 110206-110206
Closed Access | Times Cited: 2
Yu Guan, Wei Li, Dražan Kozak, et al.
Reliability Engineering & System Safety (2024) Vol. 249, pp. 110206-110206
Closed Access | Times Cited: 2
Reliability model based on fault energy dissipation for mechatronic system
Yajing Qiao, Shaoping Wang, Jian Shi, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110295-110295
Closed Access | Times Cited: 2
Yajing Qiao, Shaoping Wang, Jian Shi, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110295-110295
Closed Access | Times Cited: 2
Bayesian sparse grid (BSG) approach for information salvage in reliability assessment of deteriorating structures
Long Tu Li, Jun Xu, Sin‐Chi Kuok
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110329-110329
Closed Access | Times Cited: 2
Long Tu Li, Jun Xu, Sin‐Chi Kuok
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110329-110329
Closed Access | Times Cited: 2
Intelligent Scheduling Technology of Swarm Intelligence Algorithm for Drone Path Planning
Zhipeng Meng, Dongze Li, Zhang Yon, et al.
Drones (2024) Vol. 8, Iss. 4, pp. 120-120
Open Access | Times Cited: 1
Zhipeng Meng, Dongze Li, Zhang Yon, et al.
Drones (2024) Vol. 8, Iss. 4, pp. 120-120
Open Access | Times Cited: 1
Meta-model structural monitoring with cutting-edge AAE-VMD fusion alongside optimized machine learning methods
Sahar Hassani
Structural Health Monitoring (2024)
Closed Access | Times Cited: 1
Sahar Hassani
Structural Health Monitoring (2024)
Closed Access | Times Cited: 1
Battery Housing for Electric Vehicles, a Durability Assessment Review
Moises Jimenez‐Martinez, José Luis Valencia-Sánchez, Sergio G. Torres-Cedillo, et al.
Designs (2024) Vol. 8, Iss. 6, pp. 113-113
Open Access | Times Cited: 1
Moises Jimenez‐Martinez, José Luis Valencia-Sánchez, Sergio G. Torres-Cedillo, et al.
Designs (2024) Vol. 8, Iss. 6, pp. 113-113
Open Access | Times Cited: 1
Recursive Neural Network for Solving Chromatographic Gradient Elution Curve
Shoujiang Li, Shaoyan Wang
(2024)
Closed Access
Shoujiang Li, Shaoyan Wang
(2024)
Closed Access
Structural Health Monitoring Data Analysis Using Deep Learning Techniques
Linfei Yang, E. Huang
Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering (2024), pp. 913-927
Closed Access
Linfei Yang, E. Huang
Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering (2024), pp. 913-927
Closed Access
A New Method for Obtaining Chromatographic Calculation Elution Curve - Recurrent Neural Network
Shoujiang Li
(2023)
Closed Access
Shoujiang Li
(2023)
Closed Access