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:
Never train an LSTM on a single basin
Frederik Kratzert, Martin Gauch, Daniel Klotz, et al.
EarthArXiv (California Digital Library) (2023)
Open Access | Times Cited: 5
Frederik Kratzert, Martin Gauch, Daniel Klotz, et al.
EarthArXiv (California Digital Library) (2023)
Open Access | Times Cited: 5
Showing 5 citing articles:
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
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
Machine learning-based peak flow estimation for Nebraska streams
Sudan Pokharel, Tirthankar Roy, David M. Admiraal
International Journal of River Basin Management (2025), pp. 1-10
Closed Access
Sudan Pokharel, Tirthankar Roy, David M. Admiraal
International Journal of River Basin Management (2025), pp. 1-10
Closed Access
Coupling SWAT+ with LSTM for enhanced and interpretable streamflow estimation in arid and semi-arid watersheds, a case study of the Tagus Headwaters River Basin, Spain
Sara Asadi, Patricia Jimeno‐Sáez, Adrián López-Ballesteros, et al.
Environmental Modelling & Software (2025), pp. 106360-106360
Open Access
Sara Asadi, Patricia Jimeno‐Sáez, Adrián López-Ballesteros, et al.
Environmental Modelling & Software (2025), pp. 106360-106360
Open Access
A framework on utilizing of publicly availability stream gauges datasets and deep learning in estimating monthly basin-scale runoff in ungauged regions
Manh‐Hung Le, Hyunglok Kim, Hong Xuan, et al.
Advances in Water Resources (2024) Vol. 188, pp. 104694-104694
Closed Access | Times Cited: 3
Manh‐Hung Le, Hyunglok Kim, Hong Xuan, et al.
Advances in Water Resources (2024) Vol. 188, pp. 104694-104694
Closed Access | Times Cited: 3
Testing the Possibilities and Limits of Groundwater Level Prediction Using Global Model Frameworks with Deep Learning on a Worldwide Scale
Annika Nolte, Benedikt Heudorfer, Steffen Bender, et al.
(2024)
Closed Access
Annika Nolte, Benedikt Heudorfer, Steffen Bender, et al.
(2024)
Closed Access
