
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:
Advancing Hydrology through Machine Learning: Insights, Challenges, and Future Directions Using the CAMELS, Caravan, GRDC, CHIRPS, PERSIANN, NLDAS, GLDAS, and GRACE Datasets
F. M. Hasan, Paul Medley, Jason Drake, et al.
Water (2024) Vol. 16, Iss. 13, pp. 1904-1904
Open Access | Times Cited: 8
F. M. Hasan, Paul Medley, Jason Drake, et al.
Water (2024) Vol. 16, Iss. 13, pp. 1904-1904
Open Access | Times Cited: 8
Showing 8 citing articles:
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
Review of machine learning and WEAP models for water allocation under climate change
Deme Betele Hirko, J A du Plessis, A. Bosman
Earth Science Informatics (2025) Vol. 18, Iss. 3
Open Access
Deme Betele Hirko, J A du Plessis, A. Bosman
Earth Science Informatics (2025) Vol. 18, Iss. 3
Open Access
Spatiotemporal monitoring of water storage in the North China Plain from 2002 to 2022 based on an improved GRACE downscaling method
Jinwei Tian, Yu Chen, Shuai Wang, et al.
Journal of Hydrology Regional Studies (2025) Vol. 59, pp. 102370-102370
Closed Access
Jinwei Tian, Yu Chen, Shuai Wang, et al.
Journal of Hydrology Regional Studies (2025) Vol. 59, pp. 102370-102370
Closed Access
MACHINE LEARNING-BASED HYDROGRAPH MODELING WITH LSTM: A CASE STUDY IN THE JATIGEDE RESERVOIR CATCHMENT, INDONESIA
Neil Andika, Piter Wongso, Faizal Immaddudin Wira Rohmat, et al.
Results in Earth Sciences (2025), pp. 100090-100090
Open Access
Neil Andika, Piter Wongso, Faizal Immaddudin Wira Rohmat, et al.
Results in Earth Sciences (2025), pp. 100090-100090
Open Access
Perspective Chapter: Big Data and Deep Learning in Hydrological Modeling
Li Zhou
IntechOpen eBooks (2024)
Open Access | Times Cited: 1
Li Zhou
IntechOpen eBooks (2024)
Open Access | Times Cited: 1
The role of artificial intelligence (AI) and Chatgpt in water resources, including its potential benefits and associated challenges
Saif Haider, Muhammad Rashid, Muhammad Atiq Ur Rehman Tariq, et al.
Discover Water (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 1
Saif Haider, Muhammad Rashid, Muhammad Atiq Ur Rehman Tariq, et al.
Discover Water (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 1
Water Resource Management: Hydrological Modelling, Hydrological Cycles, and Hydrological Prediction
Katarzyna Baran-Gurgul, Agnieszka Rutkowska
Water (2024) Vol. 16, Iss. 24, pp. 3689-3689
Open Access | Times Cited: 1
Katarzyna Baran-Gurgul, Agnieszka Rutkowska
Water (2024) Vol. 16, Iss. 24, pp. 3689-3689
Open Access | Times Cited: 1
Assessment of Surface Water Availability in the Riyadh Region Using Integrated Satellite Data and Field Measurements (2001 to 2024)
Raied Saad Alharbi
Water (2024) Vol. 16, Iss. 19, pp. 2743-2743
Open Access
Raied Saad Alharbi
Water (2024) Vol. 16, Iss. 19, pp. 2743-2743
Open Access
Estimating virtual water content and yield of wheat using machine learning tools
Abdullah Muratoğlu, Muhammed Sungur Demir, Mete Yaganoglu, et al.
Journal of Hydrology (2024), pp. 132526-132526
Closed Access
Abdullah Muratoğlu, Muhammed Sungur Demir, Mete Yaganoglu, et al.
Journal of Hydrology (2024), pp. 132526-132526
Closed Access