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:
Predicting Crop Evapotranspiration under Non-Standard Conditions Using Machine Learning Algorithms, a Case Study for Vitis vinifera L. cv Tempranillo
Ricardo Egipto, Arturo Aquino, J.M. Costa, et al.
Agronomy (2023) Vol. 13, Iss. 10, pp. 2463-2463
Open Access | Times Cited: 6
Ricardo Egipto, Arturo Aquino, J.M. Costa, et al.
Agronomy (2023) Vol. 13, Iss. 10, pp. 2463-2463
Open Access | Times Cited: 6
Showing 6 citing articles:
From current to future approaches in the irrigation scheduling of open field vegetable crops
Samantha Rubo, Jana Zinkernagel
Acta Horticulturae (2025), Iss. 1416, pp. 575-584
Closed Access | Times Cited: 1
Samantha Rubo, Jana Zinkernagel
Acta Horticulturae (2025), Iss. 1416, pp. 575-584
Closed Access | Times Cited: 1
Internet of Things-Based Automated Solutions Utilizing Machine Learning for Smart and Real-Time Irrigation Management: A Review
Bryan Nsoh, Abia Katimbo, Hongzhi Guo, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7480-7480
Open Access | Times Cited: 5
Bryan Nsoh, Abia Katimbo, Hongzhi Guo, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7480-7480
Open Access | Times Cited: 5
Quantifying Impacts of Vegetation Greenness Change on Drought Over Global Vegetation Zones
Shanlei Sun, Zaoying Bi, Mengyuan Mu, et al.
Geophysical Research Letters (2025) Vol. 52, Iss. 4
Open Access
Shanlei Sun, Zaoying Bi, Mengyuan Mu, et al.
Geophysical Research Letters (2025) Vol. 52, Iss. 4
Open Access
Are Supervised Learning Methods Suitable for Estimating Crop Water Consumption under Optimal and Deficit Irrigation?
Sevim Seda Yamaç, Bedri Kurtuluş, Azhar M. Memon, et al.
Agronomy (2024) Vol. 14, Iss. 3, pp. 532-532
Open Access | Times Cited: 1
Sevim Seda Yamaç, Bedri Kurtuluş, Azhar M. Memon, et al.
Agronomy (2024) Vol. 14, Iss. 3, pp. 532-532
Open Access | Times Cited: 1
Predicting the fundamental fluxes of an eddy-covariance station using machine learning methods
David García-Rodríguez, Pablo Catret Ruber, Domingo J. Iglesias Fuente, et al.
Ecological Informatics (2024) Vol. 81, pp. 102638-102638
Open Access | Times Cited: 1
David García-Rodríguez, Pablo Catret Ruber, Domingo J. Iglesias Fuente, et al.
Ecological Informatics (2024) Vol. 81, pp. 102638-102638
Open Access | Times Cited: 1
تقدير البخر نتح المرجعي باستخدام نظام استدلال عصبي ضبابي مكيف بمنطقة شحات في ليبيا
محمد مؤمن, أسامة عبدالعاطي
Journal of Pure & Applied Sciences (2024) Vol. 23, Iss. 2, pp. 7-13
Open Access
محمد مؤمن, أسامة عبدالعاطي
Journal of Pure & Applied Sciences (2024) Vol. 23, Iss. 2, pp. 7-13
Open Access
