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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.

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Showing 1-25 of 26 citing articles:

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: 21
Quantitative improvement of streamflow forecasting accuracy in the Atlantic zones of Canada based on hydro-meteorological signals: A multi-level advanced intelligent expert framework
Mozhdeh Jamei, Mehdi Jamei, Mumtaz Ali, et al.
Ecological Informatics (2024) Vol. 80, pp. 102455-102455
Open Access | Times Cited: 10
Enhancing Streamflow Prediction Physically Consistently Using Process-Based Modeling and Domain Knowledge: A Review
Bisrat Ayalew Yifru, Kyoung Jae Lim, Seoro Lee
Sustainability (2024) Vol. 16, Iss. 4, pp. 1376-1376
Open Access | Times Cited: 9
A New Benchmark on Machine Learning Methodologies for Hydrological Processes Modelling: A Comprehensive Review for Limitations and Future Research Directions
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Knowledge-Based Engineering and Sciences (2023) Vol. 4, Iss. 3, pp. 65-103
Open Access | Times Cited: 20
Deep Huber quantile regression networks
Hristos Tyralis, Georgia Papacharalampous, Nilay Doğulu, et al.
Neural Networks (2025) Vol. 187, pp. 107364-107364
Open Access
A Geographical Appraisal of Hydrological Drought—A Case Study
Samira Bayati, Akbar Norouzi-Shokrlu, Sara Mardanian, et al.
Springer geography (2025), pp. 29-50
Closed Access
Comparison of Machine Learning Algorithms for Merging Gridded Satellite and Earth-Observed Precipitation Data
Georgia Papacharalampous, Hristos Tyralis, Anastasios Doulamis, et al.
Water (2023) Vol. 15, Iss. 4, pp. 634-634
Open Access | Times Cited: 13
Multi-Step Ahead Probabilistic Forecasting of Daily Streamflow Using Bayesian Deep Learning: A Multiple Case Study
Fatemeh Ghobadi, Doosun Kang
Water (2022) Vol. 14, Iss. 22, pp. 3672-3672
Open Access | Times Cited: 19
Comparison of Tree-Based Ensemble Algorithms for Merging Satellite and Earth-Observed Precipitation Data at the Daily Time Scale
Georgia Papacharalampous, Hristos Tyralis, Anastasios Doulamis, et al.
Hydrology (2023) Vol. 10, Iss. 2, pp. 50-50
Open Access | Times Cited: 11
Hydrological post-processing for predicting extreme quantiles
Hristos Tyralis, Georgia Papacharalampous
Journal of Hydrology (2023) Vol. 617, pp. 129082-129082
Open Access | Times Cited: 9
Probabilistic Machine Learning Methods for Fractional Brownian Motion Time Series Forecasting
Lyudmyla Kirichenko, Roman Lavrynenko
Fractal and Fractional (2023) Vol. 7, Iss. 7, pp. 517-517
Open Access | Times Cited: 8
Exploring the feasibility of Support Vector Machine for short-term hydrological forecasting in South Tyrol: challenges and prospects
Daniele Dalla Torre, Andrea Lombardi, Andrea Menapace, et al.
Deleted Journal (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 2
Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting
Yanhong Li, Jack Xu, David C. Anastasiu
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 1, pp. 171-179
Open Access | Times Cited: 2
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
Merging Satellite and Gauge-Measured Precipitation Using LightGBM With an Emphasis on Extreme Quantiles
Hristos Tyralis, Georgia Papacharalampous, Nikolaos Doulamis, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 6969-6979
Open Access | Times Cited: 6
Bayesian extreme learning machines for hydrological prediction uncertainty
John Quilty, Mohammad Sina Jahangir, John You, et al.
Journal of Hydrology (2023) Vol. 626, pp. 130138-130138
Closed Access | Times Cited: 6
Ensemble Learning for Blending Gridded Satellite and Gauge-Measured Precipitation Data
Georgia Papacharalampous, Hristos Tyralis, Nikolaos Doulamis, et al.
Remote Sensing (2023) Vol. 15, Iss. 20, pp. 4912-4912
Open Access | Times Cited: 5
Inundation–Desiccation State Prediction for Salt Pans in the Western Pannonian Basin Using Remote Sensing, Groundwater, and Meteorological Data
Henri Schauer, Stefan Schlaffer, Emanuel Bueechi, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4659-4659
Open Access | Times Cited: 4
A new implementation of stacked generalisation approach for modelling arsenic concentration in multiple water sources
Bemah Ibrahim, Anthony Ewusi, Yao Yevenyo Ziggah, et al.
International Journal of Environmental Science and Technology (2023) Vol. 21, Iss. 5, pp. 5035-5052
Closed Access | Times Cited: 4
A review of probabilistic forecasting and prediction with machine learning
Hristos Tyralis, Georgia Papacharalampous
arXiv (Cornell University) (2022)
Open Access | Times Cited: 5
From bibliometrics to text mining: exploring feature selection methods in microarray research
Guilherme Ribeiro, Rommel Barbosa, Márcio da Cunha Reis, et al.
Communications in Statistics - Simulation and Computation (2024), pp. 1-17
Closed Access
Analysis of the Epidemic Curve of the Waves of COVID-19 Using Integration of Functions and Neural Networks in Peru
Oliver Amadeo Vilca Huayta, Adolfo Jimenez Chura, Carlos Sosa Maydana, et al.
Informatics (2024) Vol. 11, Iss. 2, pp. 40-40
Open Access
Medium- and Long-Term Hydrological Process Study in the Karst Watershed of the Lijiang River Basin
W. Li, Song Luan, Yuqing Zhao, et al.
Water (2024) Vol. 16, Iss. 23, pp. 3424-3424
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
Exploring the Feasibility of Data-Driven Models for Short-Term Hydrological Forecasting in South Tyrol: Challenges and Prospects
Daniele Dalla Torre, Andrea Lombardi, Andrea Menapace, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
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