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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:

Artificial Neural Networks for the Prediction of the Reference Evapotranspiration of the Peloponnese Peninsula, Greece
Stavroula Dimitriadou, Konstantinos G. Nikolakopoulos
Water (2022) Vol. 14, Iss. 13, pp. 2027-2027
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Modeling Potential Evapotranspiration by Improved Machine Learning Methods Using Limited Climatic Data
Reham R. Mostafa, Özgür Kişi, Rana Muhammad Adnan, et al.
Water (2023) Vol. 15, Iss. 3, pp. 486-486
Open Access | Times Cited: 71
Linear Regression Machine Learning Algorithms for Estimating Reference Evapotranspiration Using Limited Climate Data
Soo-Jin Kim, 승종 배, Min-Won Jang
Sustainability (2022) Vol. 14, Iss. 18, pp. 11674-11674
Open Access | Times Cited: 56
Machine Learning Approaches for Predicting Reference Evapotranspiration: A Comparative Study Using Ground and Gridded Climate Data in Fes Region
Musa Mustapha, Mhamed Zineddine, Maha Gmira, et al.
World Water Policy (2025)
Closed Access | Times Cited: 1
Multiple Linear Regression Models with Limited Data for the Prediction of Reference Evapotranspiration of the Peloponnese, Greece
Stavroula Dimitriadou, Konstantinos G. Nikolakopoulos
Hydrology (2022) Vol. 9, Iss. 7, pp. 124-124
Open Access | Times Cited: 30
A review of recent advances and future prospects in calculation of reference evapotranspiration in Bangladesh using soft computing models
Md Mahfuz Alam, Mst. Yeasmin Akter, Abu Reza Md. Towfiqul Islam, et al.
Journal of Environmental Management (2023) Vol. 351, pp. 119714-119714
Closed Access | Times Cited: 17
Estimation of Reference Crop Evapotranspiration with Three Different Machine Learning Models and Limited Meteorological Variables
Stephen Luo Sheng Yong, Jing Lin Ng, Yuk Feng Huang, et al.
Agronomy (2023) Vol. 13, Iss. 4, pp. 1048-1048
Open Access | Times Cited: 16
Intelligent optimization of Reference Evapotranspiration (ETo) for precision irrigation
Rab Nawaz Bashir, Faizan Ahmed Khan, Arfat Ahmad Khan, et al.
Journal of Computational Science (2023) Vol. 69, pp. 102025-102025
Closed Access | Times Cited: 16
Smart reference evapotranspiration using Internet of Things and hybrid ensemble machine learning approach
Rab Nawaz Bashir, Mahlaqa Saeed, Mohammed Al-Sarem, et al.
Internet of Things (2023) Vol. 24, pp. 100962-100962
Open Access | Times Cited: 16
Exploring the Applicability of Regression Models and Artificial Neural Networks for Calculating Reference Evapotranspiration in Arid Regions
Mohamed K. Abdel-Fattah, Sameh Kotb Abd‐Elmabod, Zhenhua Zhang, et al.
Sustainability (2023) Vol. 15, Iss. 21, pp. 15494-15494
Open Access | Times Cited: 14
Physics-Informed Neural Networks for solving transient unconfined groundwater flow
Daniele Secci, Vanessa A. Godoy, J. Jaime Gómez‐Hernández
Computers & Geosciences (2023) Vol. 182, pp. 105494-105494
Open Access | Times Cited: 14
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: 6
Crop water management using machine learning-based evapotranspiration estimation
R. Meenal, Prakash Kumar Jala, R. Samundeswari, et al.
Journal of Applied Biology & Biotechnology (2024)
Open Access | Times Cited: 4
Sensitivity of daily reference evapotranspiration to weather variables in tropical savanna: a modelling framework based on neural network
Sanjeev Gupta, Pravendra Kumar, Gottam Kishore, et al.
Applied Water Science (2024) Vol. 14, Iss. 6
Open Access | Times Cited: 4
Estimation of actual crop evapotranspiration using artificial neural networks in tomato grown in closed soilless culture system
U. Tunalı, I.H. Tüzel, Y. Tüzel, et al.
Agricultural Water Management (2023) Vol. 284, pp. 108331-108331
Open Access | Times Cited: 10
Comprehensive analysis of methods for estimating actual paddy evapotranspiration—A review
Kiran Bala Behura, S. K. Raul, Jagadish Chandra Paul, et al.
Frontiers in Water (2025) Vol. 7
Open Access
An Overview of Evapotranspiration Estimation Models Utilizing Artificial Intelligence
Mercedeh Taheri, Mostafa Bigdeli, Hanifeh Imanian, et al.
Water (2025) Vol. 17, Iss. 9, pp. 1384-1384
Open Access
Hybrid Statistical and Machine Learning Methods for Daily Evapotranspiration Modeling
Erdem Küçüktopçu, Emirhan Cemek, Bilal Cemek, et al.
Sustainability (2023) Vol. 15, Iss. 7, pp. 5689-5689
Open Access | Times Cited: 9
Research on methods for estimating reference crop evapotranspiration under incomplete meteorological indicators
Xuguang Sun, Baoyuan Zhang, Menglei Dai, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 3
Reference evapotranspiration prediction using machine learning models: An empirical study from minimal climate data
SHALOO SHALOO, Bipin Kumar, Himani Bisht, et al.
Agronomy Journal (2023) Vol. 116, Iss. 3, pp. 956-972
Closed Access | Times Cited: 8
Estimation of daily reference evapotranspiration implementing satellite image data and strategy of ensemble optimization algorithm of stochastic gradient descent with multilayer perceptron
Hamed Talebi, Saeed Samadianfard, Khalil Valizadeh Kamran
Environment Development and Sustainability (2023)
Closed Access | Times Cited: 6
Context Aware Evapotranspiration (ETs) for Saline Soils Reclamation
Arfat Ahmad Khan, Muhammad Asif Nauman, Rab Nawaz Bashir, et al.
IEEE Access (2022) Vol. 10, pp. 110050-110063
Open Access | Times Cited: 8
Development of the Statistical Errors Raster Toolbox with Six Automated Models for Raster Analysis in GIS Environments
Stavroula Dimitriadou, Konstantinos G. Nikolakopoulos
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5446-5446
Open Access | Times Cited: 7
Hybrid Genetic Algorithm−Based BP Neural Network Models Optimize Estimation Performance of Reference Crop Evapotranspiration in China
Anzhen Qin, Zhilong Fan, Liuzeng Zhang
Applied Sciences (2022) Vol. 12, Iss. 20, pp. 10689-10689
Open Access | Times Cited: 6
Estimation of Reference Evapotranspiration in Semi-Arid Region with Limited Climatic Inputs Using Metaheuristic Regression Methods
Saad Sh. Sammen, Özgür Kişi, Ahmed Mohammed Sami Al‐Janabi, et al.
Water (2023) Vol. 15, Iss. 19, pp. 3449-3449
Open Access | Times Cited: 3
Artificial Neural Networks for Drought Forecasting in the Central Region of the State of Zacatecas, Mexico
Pedro Jose Esquivel-Saenz, Ruperto Ortíz-Gómez, Manuel Zavala, et al.
Climate (2024) Vol. 12, Iss. 9, pp. 131-131
Open Access
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