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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:

A review of predictive uncertainty estimation with machine learning
Hristos Tyralis, Georgia Papacharalampous
Artificial Intelligence Review (2024) Vol. 57, Iss. 4
Open Access | Times Cited: 20

Showing 20 citing articles:

Short-term PV-Wind forecasting of large-scale regional site clusters based on FCM clustering and hybrid Inception-ResNet embedded with Informer
Daogang Peng, Yu Liu, Danhao Wang, et al.
Energy Conversion and Management (2024) Vol. 320, pp. 118992-118992
Closed Access | Times Cited: 7
Bayesian approaches for revealing complex neural network dynamics in Parkinson’s disease
Hina Shaheen, Roderick Melnik
Journal of Computational Science (2025), pp. 102525-102525
Open Access
Enhancing Industrial Control Systems Security: Real-Time Anomaly Detection with Uncertainty Estimation
Ermiyas Birihanu Belachew, Ayyoub Soullami, Imre Lendák
Lecture notes in computer science (2025), pp. 99-114
Closed Access
Machine learning for smart water distribution systems: exploring applications, challenges and future perspectives
Redemptor Jr Laceda Taloma, Francesca Cuomo, Danilo Comminiello, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access
A Comparison of Generalized Additive Models for Obesity Risk Prediction
Olushina Olawale Awe, Olawale Olaniyan, Ayorinde Emmanuel Olatunde, et al.
(2025)
Closed Access
Enhancing drought monitoring with a multivariate hydrometeorological index and machine learning-based prediction in the south of Iran
Hossein Zamanı, Zohreh Pakdaman, Marzieh Shakari, et al.
Environmental Science and Pollution Research (2025)
Closed Access
Streamflow Intervals Prediction Using Coupled Autoregressive Conditionally Heteroscedastic With Bootstrap Model
Bugrayhan Bickici, Beste Hamiye Beyaztaş, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, et al.
Journal of Flood Risk Management (2025) Vol. 18, Iss. 1
Open Access
Data-driven reliability-based topology optimization by using the extended multi scale finite element method and neural network approach
Zeng Meng, Shunsheng Lv, Yongxin Gao, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 438, pp. 117837-117837
Closed Access
Artificial Intelligence-Powered Study of a Waste-to-Energy System Through Optimization by Regression-Centered Machine Learning Algorithms
Gongxing Yan, Xiaoqiang Yang, Mohamed Shaban, et al.
Energy (2025), pp. 135142-135142
Closed Access
Predictive Modeling of Electric Bicycle Battery Performance: Integrating Real-Time Sensor Data and Machine Learning Techniques
Catherine Rincón-Maya, Daniel Acosta-González, Fernando Guevara-Carazas, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1392-1392
Open Access
Deep Huber quantile regression networks
Hristos Tyralis, Georgia Papacharalampous, Nilay Doğulu, et al.
Neural Networks (2025) Vol. 187, pp. 107364-107364
Open Access
A new statistical framework with properties and practical implementation using the time invested in sports training
Yuan Shao, Jue Wang
Alexandria Engineering Journal (2025) Vol. 122, pp. 508-519
Closed Access
Uncertainty estimation of machine learning spatial precipitation predictions from satellite data
Georgia Papacharalampous, Hristos Tyralis, Nikolaos Doulamis, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 3, pp. 035044-035044
Open Access | Times Cited: 2
CFD-ML: Stream-based active learning of computational fluid dynamics simulations for efficient product design
Youngjae Bae, Kyunghye Nam, Seokho Kang
Computers in Industry (2024) Vol. 161, pp. 104122-104122
Closed Access | Times Cited: 1
Analysis of uncertainty of neural fingerprint-based models
Christian Feldmann, Jochen Sieg, Miriam Mathea
Faraday Discussions (2024)
Closed Access | Times Cited: 1
A study of different machine learning algorithms for state of charge estimation in lithium‐ion battery pack
M Maurya, Shashank Gawade, Neha Zope
Energy Storage (2024) Vol. 6, Iss. 4
Closed Access
Advances in weather and climate extreme studies: a systematic comparative review
Kamil Muhammad Kafi, Zakiah Ponrahono
Discover Geoscience (2024) Vol. 2, Iss. 1
Open Access
Combinations of distributional regression algorithms with application in uncertainty estimation of corrected satellite precipitation products
Georgia Papacharalampous, Hristos Tyralis, Nikolaos Doulamis, et al.
Machine Learning with Applications (2024), pp. 100615-100615
Open Access
Predictive Modelling on Competitor Analysis Performance by using Generalised Linear Models and Machine Learning Approach
Noryanti Muhammad, Mohamad Nadzman Mohd Amin, Rose Adzreen Adnan
Journal of Advanced Research in Applied Sciences and Engineering Technology (2024) Vol. 45, Iss. 1, pp. 51-59
Open Access
Quantifying Uncertainty with Conformal Prediction for Heating and Cooling Load Forecasting in Building Performance Simulation
Matteo Borrotti
Energies (2024) Vol. 17, Iss. 17, pp. 4348-4348
Open Access
Personalized dynamic super learning: an application in predicting hemodiafiltration convection volumes
Arthur Chatton, Michèle Bally, Renée Lévesque, et al.
Journal of the Royal Statistical Society Series C (Applied Statistics) (2024)
Open Access
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