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.

Requested Article:

Showing 6 citing articles:

Analysis of the Propagation Characteristics of Meteorological Drought to Hydrological Drought and Their Joint Effects on Low-Flow Drought Variability in the Oum Er Rbia Watershed, Morocco
Ismaguil Hanadé Houmma, Abdessamad Hadri, Abdelghani Boudhar, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 281-281
Open Access | Times Cited: 1

Future groundwater drought analysis under data scarcity using MedCORDEX regional climatic models and machine learning: The case of the Haouz Aquifer
El Bouazzaoui Imane, Ait Elbaz Aicha, Yassine Ait Brahim, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102249-102249
Closed Access

Climate Extreme Indices Influencing GRACE Total Water Storage (TWS) in Semi-Arid Africa
Komi Mawulom Claude Afamondji, Ismail Mohsine, Nourelhouda Karmouda, et al.
Journal of Arid Environments (2025) Vol. 229, pp. 105357-105357
Open Access

Assessing the groundwater quality in the Khenifra Province, Morocco
Youssef El Hammioui, Moulay Lafdil Belghiti, Abdellatif Boutagayout, et al.
Mediterranean Geoscience Reviews (2024)
Closed Access

Investigating the role of ENSO in groundwater temporal variability across Abu Dhabi Emirate, United Arab Emirates using machine learning algorithms
Khaled Alghafli, Xiaogang Shi, William T. Sloan, et al.
Groundwater for Sustainable Development (2024) Vol. 28, pp. 101389-101389
Open Access

Deep Learning Approach for Runoff Prediction: Evaluating the Long-Short-Term Memory Neural Network Architectures for Capturing Extreme Discharge Events in the Ouergha Basin, Morocco
Nourelhouda Karmouda, Tarik Bouramtane, Mounia Tahiri, et al.
Ecological Engineering & Environmental Technology (2023) Vol. 24, Iss. 9, pp. 271-290
Open Access

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