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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:

Future trends of reference evapotranspiration in Sicily based on CORDEX data and Machine Learning algorithms
Fabio Di Nunno, Francesco Granata
Agricultural Water Management (2023) Vol. 280, pp. 108232-108232
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

A stacked machine learning model for multi-step ahead prediction of lake surface water temperature
Fabio Di Nunno, Senlin Zhu, Mariusz Ptak, et al.
The Science of The Total Environment (2023) Vol. 890, pp. 164323-164323
Open Access | Times Cited: 50
A secondary modal decomposition ensemble deep learning model for groundwater level prediction using multi-data
Xuefei Cui, Zhaocai Wang, Nannan Xu, et al.
Environmental Modelling & Software (2024) Vol. 175, pp. 105969-105969
Closed Access | Times Cited: 23
A novel hybrid modeling approach based on empirical methods, PSO, XGBoost, and multiple GCMs for forecasting long-term reference evapotranspiration in a data scarce-area
Ali El Bilali, Abdessamad Hadri, Abdeslam Taleb, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110106-110106
Closed Access | Times Cited: 1
Analysis of SPI index trend variations in the United Kingdom - A cluster-based and bayesian ensemble algorithms approach
Fabio Di Nunno, Giovanni de Marinis, Francesco Granata
Journal of Hydrology Regional Studies (2024) Vol. 52, pp. 101717-101717
Open Access | Times Cited: 10
Prediction of daily river water temperatures using an optimized model based on NARX networks
Jiang Sun, Fabio Di Nunno, Mariusz Sojka, et al.
Ecological Indicators (2024) Vol. 161, pp. 111978-111978
Open Access | Times Cited: 10
Towards efficient irrigation management at field scale using new technologies: A systematic literature review
Afaf Bounajra, Kamal El Guemmat, Khalifa Mansouri, et al.
Agricultural Water Management (2024) Vol. 295, pp. 108758-108758
Open Access | Times Cited: 9
Runoff Prediction of Irrigated Paddy Areas in Southern China Based on EEMD-LSTM Model
Shaozhe Huang, Lei Yu, Wenbing Luo, et al.
Water (2023) Vol. 15, Iss. 9, pp. 1704-1704
Open Access | Times Cited: 15
Mapping drought evolution in Ethiopia: trends, clustering, and Bayesian estimation of abrupt changes
Fabio Di Nunno, Mehmet Berkant Yıldız, Yordanos Gebru Afework, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 5
A new regional reference evapotranspiration model based on quantile approximation of meteorological variables
Guomin Huang, Jianhua Dong, Lifeng Wu, et al.
Agricultural Water Management (2025) Vol. 308, pp. 109299-109299
Open Access
Pathways for Hydrological Resilience: Strategies for Adaptation in a Changing Climate
Francesco Granata, Fabio Di Nunno
Earth Systems and Environment (2025)
Closed Access
Evolving drought dynamics in Barcelona: leveraging a Bayesian ensemble algorithm for insightful analysis and a bidirectional long short-term memory network for predictive modeling
Francesco Granata, Fabio Di Nunno
Stochastic Environmental Research and Risk Assessment (2025)
Open Access
A Combined Clustering and Trends Analysis Approach for Characterizing Reference Evapotranspiration in Veneto
Fabio Di Nunno, Marco De Matteo, Giovanni Izzo, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 11091-11091
Open Access | Times Cited: 14
Improving actual evapotranspiration estimates through an integrated remote sensing and cutting-edge machine learning approach
Robson Argolo dos Santos, Everardo Chartuni Mantovani, Vinícius Bof Bufon, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109258-109258
Closed Access | Times Cited: 4
Gaussian mutation-alpine skiing optimization algorithm-recurrent attention unit-gated recurrent unit-extreme learning machine model: an advanced predictive model for predicting evaporation
Mohammad Ehteram, Fatemeh Barzegari Banadkooki, Mahdie Afshari Nia
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 5, pp. 1803-1830
Closed Access | Times Cited: 3
China's future wind energy considering air density during climate change
Zeyu Zhang, Yushi Liang, Xinyue Xue, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 199, pp. 114452-114452
Closed Access | Times Cited: 3
Evapotranspiration Analysis in Central Italy: A Combined Trend and Clustering Approach
Fabio Di Nunno, Nazzareno Diodato, Gianni Bellocchi, et al.
Climate (2024) Vol. 12, Iss. 5, pp. 64-64
Open Access | Times Cited: 3
Spatial–Temporal Variability of Climatic Water Balance in the Brazilian Savannah Region River Basins
Fernanda Laurinda Valadares Ferreira, Lineu Neiva Rodrigues, Daniel Althoff, et al.
Water (2023) Vol. 15, Iss. 10, pp. 1820-1820
Open Access | Times Cited: 9
Water requirement of Urban Green Infrastructure under climate change
Haojie Cheng, Chae Yeon Park, Mingyun Cho, et al.
The Science of The Total Environment (2023) Vol. 893, pp. 164887-164887
Closed Access | Times Cited: 9
SPI and SPEI Drought Assessment and Prediction Using TBATS and ARIMA Models, Jordan
Nivin Abdelrahim Hasan, Dongkai Yang, Fayha Al-Shibli
Water (2023) Vol. 15, Iss. 20, pp. 3598-3598
Open Access | Times Cited: 9
Estimating reference crop evapotranspiration using optimized empirical methods with a novel improved Grey Wolf Algorithm in four climatic regions of China
Juan Dong, Liwen Xing, Ningbo Cui, et al.
Agricultural Water Management (2023) Vol. 291, pp. 108620-108620
Open Access | Times Cited: 9
Vulnerability of the rip current phenomenon in marine environments using machine learning models
Mohammad Najafzadeh, Sajad Basirian, Zhiqiang Li
Results in Engineering (2023) Vol. 21, pp. 101704-101704
Open Access | Times Cited: 9
Revealing the trend and change point in Hargreaves equation based on potential evapotranspiration values with various statistical approaches
Okan Mert Katipoğlu
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 27, pp. 70604-70620
Closed Access | Times Cited: 8
On the attribution of historical and future dryness/wetness changes in China incorporating surface resistance response to elevated CO2
Shanlei Sun, Rongfan Chai, Yifang Zhang, et al.
Global and Planetary Change (2024) Vol. 234, pp. 104380-104380
Closed Access | Times Cited: 2
Exploring streamflow dynamics: trends and abrupt changes in major European rivers
Fabio Di Nunno, Carlo Giudicianni, Enrico Creaco, et al.
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 12, pp. 5019-5038
Closed Access | Times Cited: 2
Reference evapotranspiration projections in Southern Spain (until 2100) using temperature-based machine learning models
Juan Antonio Bellido-Jiménez, Javier Estévez, A. P. García‐Marín
Computers and Electronics in Agriculture (2023) Vol. 214, pp. 108327-108327
Closed Access | Times Cited: 7
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