OpenAlex Citation Counts

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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.

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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

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

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

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

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

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

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

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