
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
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:
Hydroecolstm: A Python Package with Graphical User Interface for Hydro-Ecological Modelling with Long Short-Term Memory Neural Network
Van Tam Nguyen, Vinh Ngoc Tran, Hoang Tran, et al.
(2024)
Closed Access
Van Tam Nguyen, Vinh Ngoc Tran, Hoang Tran, et al.
(2024)
Closed 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
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
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
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
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
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
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
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
Robin Schwemmle, Hannes Leistert, Steinbrich Andreas, et al.
(2023)
Open Access | Times Cited: 1
Leveraging gauge networks and strategic discharge measurements to aid development of continuous streamflow records
Michael Vlah, Matthew Ross, Spencer Rhea, et al.
(2023)
Open Access
Michael Vlah, Matthew Ross, Spencer Rhea, et al.
(2023)
Open Access