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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 51-75 of 148 citing articles:

Diagnosis-based domain-adaptive design using designable data augmentation and Bayesian transfer learning: Target design estimation and validation
Myeongsun Kwak, Jongsoo Lee
Applied Soft Computing (2023) Vol. 143, pp. 110459-110459
Closed Access | Times Cited: 6
Service Quality Towards Retail Stores on Expected and Perceived Service Quality
Sweety Regina Mary S, Sapna Sharma, Bindoo Malviya, et al.
International Journal of Professional Business Review (2023) Vol. 8, Iss. 4, pp. e01243-e01243
Open Access | Times Cited: 6
Bayesian deep learning for partial differential equation parameter discovery with sparse and noisy data
Christophe Bonneville, Christopher Earls
Journal of Computational Physics X (2022) Vol. 16, pp. 100115-100115
Open Access | Times Cited: 9
Uncertainty quantification of the convolutional neural networks on permeability estimation from micro-CT scanned sandstone and carbonate rock images
Siyan Liu, Ming Fan, Dan Lu
Geoenergy Science and Engineering (2023) Vol. 230, pp. 212160-212160
Open Access | Times Cited: 5
Mammographic Breast Density Model Using Semi-Supervised Learning Reduces Inter-/Intra-Reader Variability
Alyssa T. Watanabe, Tara Retson, Junhao Wang, et al.
Diagnostics (2023) Vol. 13, Iss. 16, pp. 2694-2694
Open Access | Times Cited: 5
Machine learning methods for developments of binding kinetic models in predicting protein‐ligand dissociation rate constants
Yujing Zhao, Qilei Liu, Jian Du, et al.
Smart Molecules (2023) Vol. 1, Iss. 3
Open Access | Times Cited: 5
VSLAM method based on object detection in dynamic environments
Jia Liu, Qiyao Gu, Dapeng Chen, et al.
Frontiers in Neurorobotics (2022) Vol. 16
Open Access | Times Cited: 8
Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers
Aishwarya Venkataramanan, Assia Benbihi, Martin Laviale, et al.
(2023), pp. 4490-4499
Open Access | Times Cited: 4
The missing radial velocities of Gaia: a catalogue of Bayesian estimates for DR3
Aneesh P. Naik, Axel Widmark
Monthly Notices of the Royal Astronomical Society (2023) Vol. 527, Iss. 4, pp. 11559-11574
Open Access | Times Cited: 4
Unified Uncertainty Estimation for Cognitive Diagnosis Models
Fei Wang, Qi Liu, Enhong Chen, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 3545-3554
Open Access | Times Cited: 1
Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks
Tian Ye, Rajgopal Kannan, Viktor Prasanna, et al.
2022 IEEE Radar Conference (RadarConf22) (2024), pp. 1-6
Open Access | Times Cited: 1
Bayesian neural networks for uncertainty quantification in remaining useful life prediction of systems with sensor monitoring
Sunday Ochella, Fateme Dinmohammadi, M. Ehsan Shafiee
Advances in Mechanical Engineering (2024) Vol. 16, Iss. 7
Open Access | Times Cited: 1
Generative adversarial networks enable outlier detection and property monitoring for additive manufacturing of complex structures
Alexander Henkes, Leon Herrmann, Henning Wessels, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108993-108993
Open Access | Times Cited: 1
End-to-End Learning for Stochastic Preventive Dispatch of Renewables-Rich Power Systems in Abnormal Weather Conditions
Qun Yu, Zhiyi Li, Xutao Han, et al.
Renewable Energy (2024) Vol. 234, pp. 121107-121107
Closed Access | Times Cited: 1
Efficient Hybrid Neuromorphic-Bayesian Model for Olfaction Sensing: Detection and Classification
Rizwana Kausar, Fakhreddine Zayer, Jaime Viegas, et al.
(2024), pp. 2089-2095
Open Access | Times Cited: 1
Bayesian and convolutional networks for hierarchical morphological classification of galaxies
Jonathan Serrano-Pérez, R. Díaz Hernández, L. Enrique Sucar
Experimental Astronomy (2024) Vol. 58, Iss. 2
Closed Access | Times Cited: 1
Advancements in early detection of pancreatic cancer: the role of artificial intelligence and novel imaging techniques
Chenchan Huang, Yiqiu Shen, Samuel J. Galgano, et al.
Abdominal Radiology (2024)
Closed Access | Times Cited: 1
Design of multi-hidden-layer Bayesian neural networks for model updating
Yuxuan He, Tao Yin, Xi Wang
Advances in Structural Engineering (2024)
Closed Access | Times Cited: 1
Uncertainty quantification in real-time parameter updating for digital twins using Bayesian inverse mapping models
Bas M. Kessels, R.H.B. Fey, Nathan van de Wouw
Nonlinear Dynamics (2024)
Open Access | Times Cited: 1
Certifying Emergency Landing for Safe Urban UAV
Joris Guérin, Kévin Delmas, Jérémie Guiochet
(2021), pp. 55-62
Open Access | Times Cited: 9
Tractable Regularization of Probabilistic Circuits
Anji Liu, Guy Van den Broeck
arXiv (Cornell University) (2021)
Open Access | Times Cited: 8
Controlling extrapolations of nuclear properties with feature selection
R. Navarro Pérez, N. Schunck
Physics Letters B (2022) Vol. 833, pp. 137336-137336
Open Access | Times Cited: 6
Efficient Global Optimization Algorithm Using Neural Network-based Prediction and Uncertainty
Pavankumar Koratikere, Leifur Leifsson, Laurel Barnet, et al.
AIAA SCITECH 2022 Forum (2023)
Closed Access | Times Cited: 3
Concentration Inequalities and Optimal Number of Layers for Stochastic Deep Neural Networks
Michele Caprio, Sayan Mukherjee
IEEE Access (2023) Vol. 11, pp. 38458-38470
Open Access | Times Cited: 3
Constrained Aerodynamic Shape Optimization Using Neural Networks and Sequential Sampling
Pavankumar Koratikere, Leifur Leifsson, Sławomir Kozieł, et al.
Lecture notes in computer science (2023), pp. 425-438
Closed Access | Times Cited: 3

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