
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, hydrological processes and the uniqueness of place
Keith Beven
Hydrological Processes (2020) Vol. 34, Iss. 16, pp. 3608-3613
Open Access | Times Cited: 120
Keith Beven
Hydrological Processes (2020) Vol. 34, Iss. 16, pp. 3608-3613
Open Access | Times Cited: 120
Showing 51-75 of 120 citing articles:
A short history of philosophies of hydrological model evaluation and hypothesis testing
Keith Beven
Wiley Interdisciplinary Reviews Water (2024)
Open Access | Times Cited: 2
Keith Beven
Wiley Interdisciplinary Reviews Water (2024)
Open Access | Times Cited: 2
Determination of Flood Susceptibility Index Using Overlay-Scoring Data Method based on Geographic Information System (GIS) in Semarang City, Central Java, Indonesia
Muhammad Rizky Romadhon, Abdul Aziz
AgriHealth Journal of Agri-food Nutrition and Public Health (2022) Vol. 3, Iss. 2, pp. 104-104
Open Access | Times Cited: 11
Muhammad Rizky Romadhon, Abdul Aziz
AgriHealth Journal of Agri-food Nutrition and Public Health (2022) Vol. 3, Iss. 2, pp. 104-104
Open Access | Times Cited: 11
Benchmarking Data-Driven Rainfall-Runoff Models in Great Britain: A comparison of LSTM-based models with four lumped conceptual models
Thomas Lees
Zenodo (CERN European Organization for Nuclear Research) (2021)
Open Access | Times Cited: 15
Thomas Lees
Zenodo (CERN European Organization for Nuclear Research) (2021)
Open Access | Times Cited: 15
Issues in generating stochastic observables for hydrological models
Keith Beven
Hydrological Processes (2021) Vol. 35, Iss. 6
Closed Access | Times Cited: 13
Keith Beven
Hydrological Processes (2021) Vol. 35, Iss. 6
Closed Access | Times Cited: 13
Forecasting Water Levels in Krasnodar Krai Rivers with the Use of Machine Learning
P. A. Belyakova, Vsevolod Moreido, Anatoly Tsyplenkov, et al.
Water Resources (2022) Vol. 49, Iss. 1, pp. 10-22
Open Access | Times Cited: 9
P. A. Belyakova, Vsevolod Moreido, Anatoly Tsyplenkov, et al.
Water Resources (2022) Vol. 49, Iss. 1, pp. 10-22
Open Access | Times Cited: 9
Time‐Variability of Flow Recession Dynamics: Application of Machine Learning and Learning From the Machine
Minseok Kim, Hannes H. Bauser, Keith Beven, et al.
Water Resources Research (2023) Vol. 59, Iss. 5
Open Access | Times Cited: 4
Minseok Kim, Hannes H. Bauser, Keith Beven, et al.
Water Resources Research (2023) Vol. 59, Iss. 5
Open Access | Times Cited: 4
Climate change impact assessment on the hydrological response of the Tawa basin for sustainable water management
Pragya Badika, Akash Singh Raghuvanshi, Ankit Agarwal
Groundwater for Sustainable Development (2024) Vol. 26, pp. 101249-101249
Closed Access | Times Cited: 1
Pragya Badika, Akash Singh Raghuvanshi, Ankit Agarwal
Groundwater for Sustainable Development (2024) Vol. 26, pp. 101249-101249
Closed Access | Times Cited: 1
Deep learning-based streamflow prediction for western Himalayan river basins
Tabasum Majeed, Riyaz Ahmad Mir, Rayees Ahmad Dar, et al.
International Journal of Systems Assurance Engineering and Management (2024)
Closed Access | Times Cited: 1
Tabasum Majeed, Riyaz Ahmad Mir, Rayees Ahmad Dar, et al.
International Journal of Systems Assurance Engineering and Management (2024)
Closed Access | Times Cited: 1
Machine Learning in Stream/River Water Temperature Modelling: a review and metrics for evaluation
Claudia Corona, T. S. Hogue
(2024)
Open Access | Times Cited: 1
Claudia Corona, T. S. Hogue
(2024)
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
Farzad Hosseini Hossein Abadi, Cristina Prieto, César Álvarez
Journal of Hydrology (2024), pp. 132269-132269
Open Access | Times Cited: 1
Prediction of runoff at ungauged areas employing interpolation techniques and deep learning algorithm
Vinay Mahakur, Vijay Kumar Mahakur, Sandeep Samantaray, et al.
HydroResearch (2024)
Open Access | Times Cited: 1
Vinay Mahakur, Vijay Kumar Mahakur, Sandeep Samantaray, et al.
HydroResearch (2024)
Open Access | Times Cited: 1
Hydrograph and recession flows simulations using deep learning: Watershed uniqueness and objective functions
Abhinav Gupta, Sean Andrew McKenna
Journal of Hydrology X (2024), pp. 100198-100198
Open Access | Times Cited: 1
Abhinav Gupta, Sean Andrew McKenna
Journal of Hydrology X (2024), pp. 100198-100198
Open Access | Times Cited: 1
Synergizing Intuitive Physics and Big Data in Deep Learning: Can We Obtain Process Insights While Maintaining State‐Of‐The‐Art Hydrological Prediction Capability?
Leilei He, Liangsheng Shi, Wenxiang Song, et al.
Water Resources Research (2024) Vol. 60, Iss. 12
Open Access | Times Cited: 1
Leilei He, Liangsheng Shi, Wenxiang Song, et al.
Water Resources Research (2024) Vol. 60, Iss. 12
Open Access | Times Cited: 1
Benchmarking Hydrological Models for an Uncertain Future
Keith Beven
Authorea (Authorea) (2023)
Open Access | Times Cited: 4
Keith Beven
Authorea (Authorea) (2023)
Open Access | Times Cited: 4
On constructing limits-of-acceptability in watershed hydrology using decision trees
Abhinav Gupta, Rao S. Govindaraju, William Crossley, et al.
Advances in Water Resources (2023) Vol. 178, pp. 104486-104486
Open Access | Times Cited: 4
Abhinav Gupta, Rao S. Govindaraju, William Crossley, et al.
Advances in Water Resources (2023) Vol. 178, pp. 104486-104486
Open Access | Times Cited: 4
Information and disinformation in hydrological data across space: The case of streamflow predictions using machine learning
Abhinav Gupta
Journal of Hydrology Regional Studies (2023) Vol. 51, pp. 101607-101607
Open Access | Times Cited: 4
Abhinav Gupta
Journal of Hydrology Regional Studies (2023) Vol. 51, pp. 101607-101607
Open Access | Times Cited: 4
Hydrological Concept Formation inside Long Short-Term Memory (LSTM) networks
Thomas Lees, Steven Reece, Frederik Kratzert, et al.
(2021)
Open Access | Times Cited: 10
Thomas Lees, Steven Reece, Frederik Kratzert, et al.
(2021)
Open Access | Times Cited: 10
Reliability Assessment of Machine Learning Models in Hydrological Predictions Through Metamorphic Testing
Yang Yang, Ting Fong May Chui
Water Resources Research (2021) Vol. 57, Iss. 9
Closed Access | Times Cited: 9
Yang Yang, Ting Fong May Chui
Water Resources Research (2021) Vol. 57, Iss. 9
Closed Access | Times Cited: 9
Conceptual hydrological model-guided SVR approach for monthly lake level reconstruction in the Tibetan Plateau
Minglei Hou, Jiahua Wei, Haibo Chu, et al.
Journal of Hydrology Regional Studies (2022) Vol. 44, pp. 101271-101271
Open Access | Times Cited: 6
Minglei Hou, Jiahua Wei, Haibo Chu, et al.
Journal of Hydrology Regional Studies (2022) Vol. 44, pp. 101271-101271
Open Access | Times Cited: 6
Modeling streamflow in headwater catchments: A data-based mechanistic grounded framework
Nicolas Fernandez, Luís A. Camacho, A. Pouyan Nejadhashemi
Journal of Hydrology Regional Studies (2022) Vol. 44, pp. 101243-101243
Open Access | Times Cited: 5
Nicolas Fernandez, Luís A. Camacho, A. Pouyan Nejadhashemi
Journal of Hydrology Regional Studies (2022) Vol. 44, pp. 101243-101243
Open Access | Times Cited: 5
The role of previously glaciated landscapes in spatiotemporal variability of streamflow in snow-dominated watersheds: British Columbia, Canada
Xingyu Chen, Marwan A. Hassan, Stephen Bird, et al.
Journal of Hydrology Regional Studies (2023) Vol. 49, pp. 101478-101478
Open Access | Times Cited: 2
Xingyu Chen, Marwan A. Hassan, Stephen Bird, et al.
Journal of Hydrology Regional Studies (2023) Vol. 49, pp. 101478-101478
Open Access | Times Cited: 2
MC-LSTM: Mass-Conserving LSTM
Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 5
Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 5
Flood Classification and Improved Loss Function by Combining Deep Learning Models to Improve Water Level Prediction in a Small Mountain Watershed
Rukai Wang, Ximin Yuan, Fuchang Tian, et al.
(2024)
Closed Access
Rukai Wang, Ximin Yuan, Fuchang Tian, et al.
(2024)
Closed Access
Robustness of the long short-term memory network in rainfall-runoff prediction improved by the water balance constraint
Qiang Li, Tongtiegang Zhao
(2024)
Open Access
Qiang Li, Tongtiegang Zhao
(2024)
Open Access