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:
Coupling machine learning and physical modelling for predicting runoff at catchment scale
Sergio Zubelzu, Abdulmomen Ghalkha, Chaouki Ben Issaid, et al.
Journal of Environmental Management (2024) Vol. 354, pp. 120404-120404
Open Access | Times Cited: 6
Sergio Zubelzu, Abdulmomen Ghalkha, Chaouki Ben Issaid, et al.
Journal of Environmental Management (2024) Vol. 354, pp. 120404-120404
Open Access | Times Cited: 6
Showing 6 citing articles:
VMDI-LSTM-ED: A novel enhanced decomposition ensemble model incorporating data integration for accurate non-stationary daily streamflow forecasting
Jiadong Liu, Teng Xu, Chunhui Lu
Journal of Hydrology (2025), pp. 132769-132769
Closed Access
Jiadong Liu, Teng Xu, Chunhui Lu
Journal of Hydrology (2025), pp. 132769-132769
Closed Access
Enhancing infiltration rate predictions with hybrid machine learning and empirical models: addressing challenges in southern India
Mooganayakanakote Veeranna Ramaswamy, Hanumapura Kumaraswamy Yashas Kumar, Varshini Jaganatha Reddy, et al.
Acta Geophysica (2025)
Closed Access
Mooganayakanakote Veeranna Ramaswamy, Hanumapura Kumaraswamy Yashas Kumar, Varshini Jaganatha Reddy, et al.
Acta Geophysica (2025)
Closed Access
Web-Based Baseflow Estimation in SWAT Considering Spatiotemporal Recession Characteristics Using Machine Learning
Jimin Lee, Jeongho Han, Bernard A. Engel, et al.
Environments (2025) Vol. 12, Iss. 3, pp. 94-94
Open Access
Jimin Lee, Jeongho Han, Bernard A. Engel, et al.
Environments (2025) Vol. 12, Iss. 3, pp. 94-94
Open Access
Exploring the performance and interpretability of hybrid hydrologic model coupling physical mechanisms and deep learning
Miao He, S. S. Jiang, Liliang Ren, et al.
Journal of Hydrology (2024) Vol. 649, pp. 132440-132440
Closed Access | Times Cited: 1
Miao He, S. S. Jiang, Liliang Ren, et al.
Journal of Hydrology (2024) Vol. 649, pp. 132440-132440
Closed Access | Times Cited: 1
Enhancing Infiltration Rate Predictions with Hybrid Machine Learning and Empirical Models: Addressing Challenges in Southern India
Mooganayakanakote Veeranna Ramaswamy, Hanumapura Kumaraswamy Yashas Kumar, Varshini Jaganatha Reddy, et al.
Research Square (Research Square) (2024)
Closed Access
Mooganayakanakote Veeranna Ramaswamy, Hanumapura Kumaraswamy Yashas Kumar, Varshini Jaganatha Reddy, et al.
Research Square (Research Square) (2024)
Closed Access
The nonlinear regression trees for retrieving missed data during sea-level measurement
Amin Mahdavi‐Meymand, Dawid Majewski, Wojciech Sulisz
Journal of Environmental Management (2024) Vol. 373, pp. 123804-123804
Closed Access
Amin Mahdavi‐Meymand, Dawid Majewski, Wojciech Sulisz
Journal of Environmental Management (2024) Vol. 373, pp. 123804-123804
Closed Access
