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:

Explainable machine learning for the prediction and assessment of complex drought impacts
Beichen Zhang, Fatima K. Abu Salem, Michael J. Hayes, et al.
The Science of The Total Environment (2023) Vol. 898, pp. 165509-165509
Closed Access | Times Cited: 29

Showing 26-50 of 29 citing articles:

A machine learning methodology to calculate the percentage of areas affected by drought in Brazil in map images
Ana Carolina Borges Monteiro, Rodrigo Rodrigo, Reinaldo Padilha França, et al.
Modern cartography (2024), pp. 701-718
Closed Access

Agricultural GDP exposure to drought and its machine learning-based prediction in the Jialing River Basin, China
Xinzhi Wang, Qingxia Lin, Zhiyong Wu, et al.
Agricultural Water Management (2024) Vol. 307, pp. 109265-109265
Open Access

Predicting Food-Security Crises in the Horn of Africa Using Machine Learning
Tim Busker, Bart van den Hurk, Hans de Moel, et al.
Authorea (Authorea) (2023)
Open Access | Times Cited: 1

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