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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 26-50 of 148 citing articles:

Uncertainty quantification for LiDAR-based maps of ditches and natural streams
Florian Westphal, William Lidberg, Mariana Dos Santos Toledo Busarello, et al.
Environmental Modelling & Software (2025), pp. 106488-106488
Open Access
Machine Learning and Optoelectronic Materials Discovery: A Growing Synergy
Felix Mayr, Milan Harth, Ioannis Kouroudis, et al.
The Journal of Physical Chemistry Letters (2022) Vol. 13, Iss. 8, pp. 1940-1951
Closed Access | Times Cited: 17
Advancing Arctic sea ice remote sensing with AI and deep learning: now and future
Wenwen Li, Chia-Yu Hsu, Marco Tedesco
(2024)
Open Access | Times Cited: 3
Gaussian mixture models for training Bayesian convolutional neural networks
Bakhouya Mostafa, Hassan Ramchoun, Hadda Mohammed, et al.
Evolutionary Intelligence (2024) Vol. 17, Iss. 4, pp. 2515-2536
Closed Access | Times Cited: 3
Gibbs sampling the posterior of neural networks
Giovanni Piccioli, Emanuele Troiani, Lenka Zdeborová
Journal of Physics A Mathematical and Theoretical (2024) Vol. 57, Iss. 12, pp. 125002-125002
Open Access | Times Cited: 3
Toward End-to-End Analog Design Automation with ML and Data-Driven Approaches (Invited Paper)
Supriyo Maji, Ahmet F. Budak, Souradip Poddar, et al.
2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC) (2024)
Closed Access | Times Cited: 3
Cotton yield prediction utilizing unmanned aerial vehicles (UAV) and Bayesian neural networks
Lei Zhao, Dugan Um, Kevin Nowka, et al.
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109415-109415
Closed Access | Times Cited: 3
Advancing Arctic Sea Ice Remote Sensing with AI and Deep Learning: Opportunities and Challenges
Wenwen Li, Chia-Yu Hsu, Marco Tedesco
Remote Sensing (2024) Vol. 16, Iss. 20, pp. 3764-3764
Open Access | Times Cited: 3
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
Multi-Agent Policy Gradients with Dynamic Weighted Value Decomposition
Shifei Ding, Xiaomin Dong, Jian Zhang, et al.
Pattern Recognition (2025), pp. 111576-111576
Closed Access
Safety Monitoring of Machine Learning Perception Functions: A Survey
Raúl Ferreira, Joris Guérin, Kévin Delmas, et al.
Computational Intelligence (2025) Vol. 41, Iss. 2
Open Access
UAMNer: uncertainty-aware multimodal named entity recognition in social media posts
Luping Liu, Meiling Wang, Mozhi Zhang, et al.
Applied Intelligence (2021) Vol. 52, Iss. 4, pp. 4109-4125
Closed Access | Times Cited: 22
A multi-scale anomaly detection framework for retinal OCT images based on the Bayesian neural network
Lintao Mou, Lingling Liang, Zhanheng Gao, et al.
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103619-103619
Closed Access | Times Cited: 16
A Primer on Bayesian Neural Networks: Review and Debates
Julyan Arbel, Konstantinos Pitas, Mariia Vladimirova, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 9
Bayesian bilinear neural network for predicting the mid‐price dynamics in limit‐order book markets
Martin Magris, Mostafa Shabani, Alexandros Iosifidis
Journal of Forecasting (2023) Vol. 42, Iss. 6, pp. 1407-1428
Open Access | Times Cited: 8
Bayesian averaging for ground state masses of atomic nuclei in a Machine Learning approach
Matthew Mumpower, Mengke Li, Trevor Sprouse, et al.
Frontiers in Physics (2023) Vol. 11
Open Access | Times Cited: 8
Emission line predictions for mock galaxy catalogues: a new differentiable and empirical mapping from DESI
Ashod Khederlarian, Jeffrey A. Newman, Brett H. Andrews, et al.
Monthly Notices of the Royal Astronomical Society (2024) Vol. 531, Iss. 1, pp. 1454-1470
Open Access | Times Cited: 3
Improved Downlink Rates for FDD Massive MIMO Systems Through Bayesian Neural Networks-Based Channel Prediction
Zhihao Tao, Shaowei Wang
IEEE Transactions on Wireless Communications (2021) Vol. 21, Iss. 3, pp. 2122-2134
Closed Access | Times Cited: 18
QuantBayes: Weight Optimization for Memristive Neural Networks via Quantization-Aware Bayesian Inference
Yue Zhou, Xiaofang Hu, Lidan Wang, et al.
IEEE Transactions on Circuits and Systems I Regular Papers (2021) Vol. 68, Iss. 12, pp. 4851-4861
Open Access | Times Cited: 18
Conformalized Multimodal Uncertainty Regression and Reasoning
Mimmo Parente, Nastaran Darabi, Alex C. Stutts, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 6985-6989
Open Access | Times Cited: 2
Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions
Jordan Lekeufack, Anastasios N. Angelopoulos, Andrea Bajcsy, et al.
(2024), pp. 11668-11675
Open Access | Times Cited: 2
Conformalized Link Prediction on Graph Neural Networks
Tianyi Zhao, Jian Kang, Lu Cheng
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 4490-4499
Open Access | Times Cited: 2
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
Gianni Franchi, Olivier Laurent, Maxence Leguéry, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 12194-12204
Closed Access | Times Cited: 2
Transfer learning Bayesian optimization for competitor DNA molecule design for use in diagnostic assays
Ruby Sedgwick, John Goertz, Molly M. Stevens, et al.
Biotechnology and Bioengineering (2024)
Open Access | Times Cited: 2
Incorporating modelling uncertainty and prior knowledge into landslide susceptibility mapping using Bayesian neural networks
Chongzhi Chen, Zhangquan Shen, Luming Fang, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2024), pp. 1-20
Closed Access | Times Cited: 2

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