
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:
Deep learning for quality control of surface physiographic fields using satellite Earth observations
Tom Kimpson, Margarita Choulga, Matthew Chantry, et al.
Hydrology and earth system sciences (2023) Vol. 27, Iss. 24, pp. 4661-4685
Open Access | Times Cited: 5
Tom Kimpson, Margarita Choulga, Matthew Chantry, et al.
Hydrology and earth system sciences (2023) Vol. 27, Iss. 24, pp. 4661-4685
Open Access | Times Cited: 5
Showing 5 citing articles:
Advances in land surface forecasting: a comparison of LSTM, gradient boosting, and feed-forward neural networks as prognostic state emulators in a case study with ecLand
Marieke Wesselkamp, Matthew Chantry, Ewan Pinnington, et al.
Geoscientific model development (2025) Vol. 18, Iss. 4, pp. 921-937
Open Access
Marieke Wesselkamp, Matthew Chantry, Ewan Pinnington, et al.
Geoscientific model development (2025) Vol. 18, Iss. 4, pp. 921-937
Open Access
Technical note: Surface fields for global environmental modelling
Margarita Choulga, Francesca Moschini, Cinzia Mazzetti, et al.
Hydrology and earth system sciences (2024) Vol. 28, Iss. 13, pp. 2991-3036
Open Access | Times Cited: 1
Margarita Choulga, Francesca Moschini, Cinzia Mazzetti, et al.
Hydrology and earth system sciences (2024) Vol. 28, Iss. 13, pp. 2991-3036
Open Access | Times Cited: 1
Advances in Land Surface Model-based Forecasting: A Comparison of LSTM, Gradient Boosting, and Feedforward Neural Networks as Prognostic State Emulators in a Case Study with ECLand
Marieke Wesselkamp, Matthew Chantry, Ewan Pinnington, et al.
(2024)
Open Access | Times Cited: 1
Marieke Wesselkamp, Matthew Chantry, Ewan Pinnington, et al.
(2024)
Open Access | Times Cited: 1
High-Resolution Land Use Land Cover Dataset for Meteorological Modelling—Part 1: ECOCLIMAP-SG+ an Agreement-Based Dataset
Geoffrey Bessardon, Thomas Rieutord, Emily Gleeson, et al.
Land (2024) Vol. 13, Iss. 11, pp. 1811-1811
Open Access | Times Cited: 1
Geoffrey Bessardon, Thomas Rieutord, Emily Gleeson, et al.
Land (2024) Vol. 13, Iss. 11, pp. 1811-1811
Open Access | Times Cited: 1