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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:

HESS Opinions: Never train a Long Short-Term Memory (LSTM) network on a single basin
Frederik Kratzert, Martin Gauch, Daniel Klotz, et al.
Hydrology and earth system sciences (2024) Vol. 28, Iss. 17, pp. 4187-4201
Open Access | Times Cited: 16

Showing 16 citing articles:

HydroEcoLSTM: A Python package with graphical user interface for hydro-ecological modeling with long short-term memory neural network
Van Tam Nguyen, Vinh Ngoc Tran, Hoang Tran, et al.
Ecological Informatics (2025) Vol. 85, pp. 102994-102994
Open Access
Are LSTM and conceptual rainfall-runoff models able to cope with limited training datasets under diverse hydrometeorological conditions?
Fadil Boodoo, Renaud Hostache, Nadia Skifa, et al.
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 2
Closed Access
On the value of a history of hydrology and the establishment of a History of Hydrology Working Group
Keith Beven, S. A. Archfield, Okke Batelaan, et al.
Hydrological Sciences Journal (2025), pp. 1-13
Open Access
CH-RUN: a deep-learning-based spatially contiguous runoff reconstruction for Switzerland
Basil Kraft, Michael Schirmer, William H. Aeberhard, et al.
Hydrology and earth system sciences (2025) Vol. 29, Iss. 4, pp. 1061-1082
Open Access
Analyzing the generalization capabilities of a hybrid hydrological model for extrapolation to extreme events
Eduardo Acuña Espinoza, Ralf Loritz, Frederik Kratzert, et al.
Hydrology and earth system sciences (2025) Vol. 29, Iss. 5, pp. 1277-1294
Open Access
Are Deep Learning Models in Hydrology Entity Aware?
Benedikt Heudorfer, Hoshin V. Gupta, Ralf Loritz
Geophysical Research Letters (2025) Vol. 52, Iss. 6
Open Access
Detection and attribution of eco-hydrological alteration based on deep learning-driven gap-filled runoff in a large-scale catchment
Zhibao Dong, Xuan Ji, Kai Ma
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102228-102228
Closed Access
Local vs regional neural air pollution forecasting models
Matteo Sangiorgio, Giorgio Guariso
IFAC Journal of Systems and Control (2025), pp. 100298-100298
Open Access
A diversity-centric strategy for the selection of spatio-temporal training data for LSTM-based streamflow forecasting
Everett Snieder, Usman T. Khan
Hydrology and earth system sciences (2025) Vol. 29, Iss. 3, pp. 785-798
Open Access
Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review
Ivan Malashin, D. A. Martysyuk, В С Тынченко, et al.
Polymers (2024) Vol. 16, Iss. 23, pp. 3368-3368
Open Access | Times Cited: 3
Learning extreme vegetation response to climate drivers with recurrent neural networks
Francesco Martinuzzi, Miguel D. Mahecha, Gustau Camps‐Valls, et al.
Nonlinear processes in geophysics (2024) Vol. 31, Iss. 4, pp. 535-557
Open Access | Times Cited: 2
Assessing groundwater level modelling using a 1-D convolutional neural network (CNN): linking model performances to geospatial and time series features
Mariana Gomez, Maximilian Nölscher, Andreas Hartmann, et al.
Hydrology and earth system sciences (2024) Vol. 28, Iss. 19, pp. 4407-4425
Open Access | Times Cited: 1
Towards Interpretable Physical‐Conceptual Catchment‐Scale Hydrological Modeling Using the Mass‐Conserving‐Perceptron
Yuan‐Heng Wang, Hoshin V. Gupta
Water Resources Research (2024) Vol. 60, Iss. 10
Open Access | Times Cited: 1
Ensemble learning of catchment-wise optimized LSTMs enhances regional rainfall-runoff modelling − case Study: Basque Country, Spain
Farzad Hosseini Hossein Abadi, Cristina Prieto, César Álvarez
Journal of Hydrology (2024), pp. 132269-132269
Open Access | Times Cited: 1
A nonstationary stochastic simulator for clustered regional hydroclimatic extremes to Characterize compound flood risk
Adam Nayak, Pierre Gentine, Upmanu Lall
Journal of Hydrology X (2024), pp. 100189-100189
Open Access
A differentiable, physics-based hydrological model and its evaluation for data-limited basins
Wenyu Ouyang, Lei Ye, Yikai CHAI, et al.
Journal of Hydrology (2024), pp. 132471-132471
Closed 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
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