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:

Advanced evapotranspiration forecasting in Central Italy: Stacked MLP-RF algorithm and correlated Nystrom views with feature selection strategies
Francesco Granata, Fabio Di Nunno, Giovanni de Marinis
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108887-108887
Closed Access | Times Cited: 13

Showing 13 citing articles:

Forecasting short- and medium-term streamflow using stacked ensemble models and different meta-learners
Francesco Granata, Fabio Di Nunno
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 9, pp. 3481-3499
Closed Access | Times Cited: 8

The fusion of machine olfactory data and UV–Vis-NIR-MIR spectra enabled accurate prediction of key soil nutrients
Shuyan Liu, Lili Fu, Xiaomeng Xia, et al.
Geoderma (2025) Vol. 453, pp. 117161-117161
Open Access

AI Algorithms in the Agrifood Industry: Application Potential in the Spanish Agrifood Context
Javier Marcos Arévalo, Francisco Javier Flor Montalvo, Juan-Ignacio Latorre-Biel, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 2096-2096
Open Access

Physics-informed modeling of splitting tensile strength of recycled aggregate concrete using advanced machine learning
Kennedy C. Onyelowe, Viroon Kamchoom‬, Shadi Hanandeh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Evaluating the strength of industrial wastesbased concrete reinforced with steel fiber using advanced machine learning
Kennedy C. Onyelowe, Viroon Kamchoom‬, Ahmed M. Ebid, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Principal Component Analysis (PCA) and feature importance-based dimension reduction for Reference Evapotranspiration (ET0) predictions of Taif, Saudi Arabia
Rab Nawaz Bashir, Olfa Mzoughi, Muhammad Ali Shahid, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109036-109036
Closed Access | Times Cited: 4

Prediction of daily leaf wetness duration using multi-step machine learning
Karam Alsafadi, Basma Alatrach, Saad Sh. Sammen, et al.
Computers and Electronics in Agriculture (2024) Vol. 224, pp. 109131-109131
Closed Access | Times Cited: 2

Advanced reference crop evapotranspiration prediction: a novel framework combining neural nets, bee optimization algorithm, and mode decomposition
Ahmed Elbeltagi, Okan Mert Katipoğlu, Veysi Kartal, et al.
Applied Water Science (2024) Vol. 14, Iss. 12
Open Access | Times Cited: 2

Diel temperature patterns unveiled: High-frequency monitoring and deep learning in Lake Kasumigaura
Senlin Zhu, Ryuichiro Shinohara, Shin‐ichiro S. Matsuzaki, et al.
Ecological Indicators (2024) Vol. 169, pp. 112958-112958
Open Access | Times Cited: 1

Enhancing references evapotranspiration forecasting with teleconnection indices and advanced machine learning techniques
Jalil Helali, Mehdi Mohammadi Ghaleni, Ameneh Mianabadi, et al.
Applied Water Science (2024) Vol. 14, Iss. 10
Open Access

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