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:

NeuralHydrology — A Python library for Deep Learning research in hydrology
Frederik Kratzert, Martin Gauch, Grey Nearing, et al.
The Journal of Open Source Software (2022) Vol. 7, Iss. 71, pp. 4050-4050
Open Access | Times Cited: 137

Showing 76-100 of 137 citing articles:

Reply on CC7
Frederik Kratzert
(2024)
Open Access

Reply on RC3
Daniel Klotz
(2024)
Open Access

Reply on RC2
Daniel Klotz
(2024)
Open Access

Reply on RC1
Daniel Klotz
(2024)
Open Access

Precise Tuning of Regional Hydrological Lstm Networks: Simultaneous Systematic Random Search Optimization
Farzad Hosseini Hosseini Abadi, Cristina Prieto, Cesar Álvarez Díaz
(2024)
Closed Access

RoGeR v3.0.5 – a process-based hydrological toolbox model in Python
Robin Schwemmle, Hannes Leistert, Andreas Steinbrich, et al.
Geoscientific model development (2024) Vol. 17, Iss. 13, pp. 5249-5262
Open Access

SeqMetrics: a unified library for performance metrics calculation in Python
Fazila Rubab, Sara Iftikhar, Ather Abbas
The Journal of Open Source Software (2024) Vol. 9, Iss. 99, pp. 6450-6450
Open Access

Enhancing probabilistic hydrological predictions with mixture density Networks: Accounting for heteroscedasticity and Non-Gaussianity
Dayang Li, Lucy Marshall, Yan Zhou, et al.
Journal of Hydrology (2024) Vol. 641, pp. 131737-131737
Closed Access

Associations between deep learning runoff predictions and hydrogeological conditions in Australia
Stephanie Clark, Jasmine B.D. Jaffrés
Journal of Hydrology (2024), pp. 132569-132569
Closed Access

Machine Learning Classification Strategy to Improve Streamflow Estimates in Diverse River Basins in the Colorado River Basin
Sarah Maebius, Katrina Bennett, Jon Schwenk
Earth and Space Science (2024) Vol. 11, Iss. 12
Open Access

Evaluating Data-Driven and an Operational Model to Estimate Snow Water Equivalent in the Sierra Nevada
Engela Sthapit, Mimi Hughes, William Ryan Currier, et al.
(2024)
Closed Access

RoGeR v3.0.3 – a process-based hydrological toolbox model in Python
Robin Schwemmle, Hannes Leistert, Steinbrich Andreas, et al.
(2023)
Open Access | Times Cited: 1

Reply to RC1
Louise Slater
(2023)
Open Access

Reply to RC2
Louise Slater
(2023)
Open Access

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