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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:

Bayesian Neural Networks: An Introduction and Survey
Ethan Goan, Clinton Fookes
Lecture notes in mathematics (2020), pp. 45-87
Closed Access | Times Cited: 148

Showing 1-25 of 148 citing articles:

Hands-On Bayesian Neural Networks—A Tutorial for Deep Learning Users
Laurent Valentin Jospin, Hamid Laga, Farid Boussaïd, et al.
IEEE Computational Intelligence Magazine (2022) Vol. 17, Iss. 2, pp. 29-48
Open Access | Times Cited: 533
Improving the open cluster census
Emily L. Hunt, S. Reffert
Astronomy and Astrophysics (2023) Vol. 673, pp. A114-A114
Open Access | Times Cited: 128
The Dawes Review 10: The impact of deep learning for the analysis of galaxy surveys
Marc Huertas-Company, François Lanusse
Publications of the Astronomical Society of Australia (2023) Vol. 40
Open Access | Times Cited: 58
A survey on machine learning approaches for uncertainty quantification of engineering systems
Yan Shi, Pengfei Wei, Ke Feng, et al.
Machine learning for computational science and engineering (2025) Vol. 1, Iss. 1
Open Access | Times Cited: 2
Deep Learning Techniques for Visual SLAM: A Survey
Saad Mokssit, Daniel Bonilla Licea, Bassma Guermah, et al.
IEEE Access (2023) Vol. 11, pp. 20026-20050
Open Access | Times Cited: 35
BMAE-Net: A Data-Driven Weather Prediction Network for Smart Agriculture
Jianlei Kong, Xiaomeng Fan, Xuebo Jin, et al.
Agronomy (2023) Vol. 13, Iss. 3, pp. 625-625
Open Access | Times Cited: 34
CONNECT: a neural network based framework for emulating cosmological observables and cosmological parameter inference
Andreas Nygaard, Emil Brinch Holm, Steen Hannestad, et al.
Journal of Cosmology and Astroparticle Physics (2023) Vol. 2023, Iss. 05, pp. 025-025
Open Access | Times Cited: 29
A Variational Bayesian Inference-Based En-Decoder Framework for Traffic Flow Prediction
Jianlei Kong, Xiaomeng Fan, Xuebo Jin, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 3, pp. 2966-2975
Closed Access | Times Cited: 27
A variational Bayesian deep reinforcement learning approach for resilient post-disruption recovery of distribution grids
Zhaoyuan Yin, Chao Fang, Yi‐Ping Fang, et al.
Reliability Engineering & System Safety (2025), pp. 110840-110840
Closed Access | Times Cited: 1
Bacterial species identification using MALDI-TOF mass spectrometry and machine learning techniques: A large-scale benchmarking study
Thomas Mortier, Anneleen D. Wieme, Peter Vandamme, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 6157-6168
Open Access | Times Cited: 51
Valid prediction intervals for regression problems
Nicolas Dewolf, Bernard De Baets, Willem Waegeman
Artificial Intelligence Review (2022) Vol. 56, Iss. 1, pp. 577-613
Closed Access | Times Cited: 33
A spectral surrogate model for stochastic simulators computed from trajectory samples
Nora Lüthen, Stefano Marelli, Bruno Sudret
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 406, pp. 115875-115875
Open Access | Times Cited: 18
A review of surrogate-assisted design optimization for improving urban wind environment
Yihan Wu, Steven Jige Quan
Building and Environment (2024) Vol. 253, pp. 111157-111157
Closed Access | Times Cited: 6
Probabilistic neural networks for fluid flow surrogate modeling and data recovery
Romit Maulik, Kai Fukami, Nesar Ramachandra, et al.
Physical Review Fluids (2020) Vol. 5, Iss. 10
Open Access | Times Cited: 44
Bayesian Convolutional Neural Networks for Remaining Useful Life Prognostics of Solenoid Valves With Uncertainty Estimations
Ganjour Mazaev, Guillaume Crevecoeur, Sofie Van Hoecke
IEEE Transactions on Industrial Informatics (2021) Vol. 17, Iss. 12, pp. 8418-8428
Open Access | Times Cited: 37
Uncertainty quantification: Can we trust artificial intelligence in drug discovery?
Jie Yu, Dingyan Wang, Mingyue Zheng
iScience (2022) Vol. 25, Iss. 8, pp. 104814-104814
Open Access | Times Cited: 24
Bayesian Physics-Informed Neural Networks for the Subsurface Tomography Based on the Eikonal Equation
Rongxi Gou, Yijie Zhang, Xueyu Zhu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-12
Open Access | Times Cited: 13
Thermodynamic AI and the Fluctuation Frontier
Patrick J. Coles, Collin Szczepanski, Denis Melanson, et al.
(2023), pp. 1-10
Open Access | Times Cited: 13
Multidimensional graph transformer networks for trajectory prediction in urban road intersections
Xuefeng Quan, Dening Luo, Qiang Yang, et al.
Journal of Membrane Computing (2024)
Closed Access | Times Cited: 5
Mesh-Free Surrogate Models for Structural Mechanic FEM Simulation: A Comparative Study of Approaches
Johannes G. Hoffer, Bernhard C. Geiger, Patrick Ofner, et al.
Applied Sciences (2021) Vol. 11, Iss. 20, pp. 9411-9411
Open Access | Times Cited: 31
Robust Fuzzy Neural Network With an Adaptive Inference Engine
Leijie Zhang, Ye Shi, Yu‐Cheng Chang, et al.
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 5, pp. 3275-3285
Closed Access | Times Cited: 11
Differentiation between model error and measurement uncertainty in machine learning modeling for measurement processes
Meike Huber, Tobias M. Müller, Robert Schmitt
Measurement Sensors (2025), pp. 101608-101608
Open Access
Uncertainty Quantification for Lidar-Based Maps of Ditches and Natural Streams
Florian Westphal, William Lidberg, Mariana Dos Santos Toledo Busarello, et al.
(2025)
Closed Access
Deep learning models to predict CO 2 solubility in imidazolium-based ionic liquids
Amir Hossein Sheikhshoaei, Ali Sanati
Research Square (Research Square) (2025)
Closed Access
Scalable and reliable stochastic parametric verification with stochastic variational smoothed model checking
Francesca Cairoli, Luca Bortolussi
International Journal of Systems Science (2025), pp. 1-29
Closed Access
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