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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:

Groundwater level prediction in Apulia region (Southern Italy) using NARX neural network
Fabio Di Nunno, Francesco Granata
Environmental Research (2020) Vol. 190, pp. 110062-110062
Closed Access | Times Cited: 123

Showing 26-50 of 123 citing articles:

Lithium-Ion Batteries Long Horizon Health Prognostic Using Machine Learning
Safieh Bamati, Hicham Chaoui
IEEE Transactions on Energy Conversion (2021) Vol. 37, Iss. 2, pp. 1176-1186
Closed Access | Times Cited: 41
Groundwater level forecasting in Northern Bangladesh using nonlinear autoregressive exogenous (NARX) and extreme learning machine (ELM) neural networks
Fabio Di Nunno, Sani I. Abba, Bao Quoc Pham, et al.
Arabian Journal of Geosciences (2022) Vol. 15, Iss. 7
Closed Access | Times Cited: 36
Variable frequency wind speed trend prediction system based on combined neural network and improved multi-objective optimization algorithm
Zhirui Tian, Jiyang Wang
Energy (2022) Vol. 254, pp. 124249-124249
Closed Access | Times Cited: 34
Precipitation Forecasting in Northern Bangladesh Using a Hybrid Machine Learning Model
Fabio Di Nunno, Francesco Granata, Quoc Bao Pham, et al.
Sustainability (2022) Vol. 14, Iss. 5, pp. 2663-2663
Open Access | Times Cited: 28
Groundwater levels forecasting using machine learning models: A case study of the groundwater region 10 at Karst Belt, South Africa
Banjo Ayoade Aderemi, Thomas O. Olwal, Julius Musyoka Ndambuki, et al.
Systems and Soft Computing (2023) Vol. 5, pp. 200049-200049
Open Access | Times Cited: 19
A novel optimized model based on NARX networks for predicting thermal anomalies in Polish lakes during heatwaves, with special reference to the 2018 heatwave
Senlin Zhu, Fabio Di Nunno, Mariusz Ptak, et al.
The Science of The Total Environment (2023) Vol. 905, pp. 167121-167121
Closed Access | Times Cited: 17
Groundwater dynamics clustering and prediction based on grey relational analysis and LSTM model: A case study in Beijing Plain, China
Yan Zhou, Qiulan Zhang, Guoying Bai, et al.
Journal of Hydrology Regional Studies (2024) Vol. 56, pp. 102011-102011
Open Access | Times Cited: 6
Tide Prediction in the Venice Lagoon Using Nonlinear Autoregressive Exogenous (NARX) Neural Network
Fabio Di Nunno, Giovanni de Marinis, Rudy Gargano, et al.
Water (2021) Vol. 13, Iss. 9, pp. 1173-1173
Open Access | Times Cited: 39
Impact of Conservation Agriculture on Soil Erosion in the Annual Cropland of the Apulia Region (Southern Italy) Based on the RUSLE-GIS-GEE Framework
Matteo Petito, Silvia Cantalamessa, Giancarlo Pagnani, et al.
Agronomy (2022) Vol. 12, Iss. 2, pp. 281-281
Open Access | Times Cited: 25
A nonlinear autoregressive exogenous (NARX) model to predict nitrate concentration in rivers
Fabio Di Nunno, Marco Race, Francesco Granata
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 27, pp. 40623-40642
Closed Access | Times Cited: 25
A Stacked Machine Learning Algorithm for Multi-Step Ahead Prediction of Soil Moisture
Francesco Granata, Fabio Di Nunno, Mohammad Najafzadeh, et al.
Hydrology (2022) Vol. 10, Iss. 1, pp. 1-1
Open Access | Times Cited: 22
A systematic review and meta-analysis of groundwater level forecasting with machine learning techniques: Current status and future directions
José Luis Uc Castillo, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, et al.
Environmental Modelling & Software (2023) Vol. 168, pp. 105788-105788
Closed Access | Times Cited: 15
Unveiling drivers and barriers in advancing agricultural wastewater reuse in Southern Italy: A SWOT analysis informed by stakeholder insights
Kledja Canaj, Andi Mehmeti
Cleaner Water (2024) Vol. 1, pp. 100008-100008
Open Access | Times Cited: 5
Development of artificial neural network model for anaerobic digestion-elutriated phase treatment
Moonil Kim, Dokyun Kim, Chul Park, et al.
Journal of Environmental Management (2025) Vol. 379, pp. 124814-124814
Closed Access
An ANN-based ensemble model for change point estimation in control charts
Ali Yeganeh, Farhad Pourpanah, Alireza Shadman
Applied Soft Computing (2021) Vol. 110, pp. 107604-107604
Closed Access | Times Cited: 31
A Hybrid Neural Network–Particle Swarm Optimization Informed Spatial Interpolation Technique for Groundwater Quality Mapping in a Small Island Province of the Philippines
Kevin Lawrence M. de Jesus, Delia B. Senoro, Jennifer C. Dela Cruz, et al.
Toxics (2021) Vol. 9, Iss. 11, pp. 273-273
Open Access | Times Cited: 28
Hybrid support vector regression models with algorithm of innovative gunner for the simulation of groundwater level
Thendiyath Roshni, Ehsan Mirzania, Mahsa Hasanpour Kashani, et al.
Acta Geophysica (2022) Vol. 70, Iss. 4, pp. 1885-1898
Closed Access | Times Cited: 21
Estimation of Tasuj aquifer response to main meteorological parameter variations under Shared Socioeconomic Pathways scenarios
Babak Ghazi, Esmaeil Jeihouni, Özgür Kişi, et al.
Theoretical and Applied Climatology (2022) Vol. 149, Iss. 1-2, pp. 25-37
Closed Access | Times Cited: 20
Hybrid Machine Learning Models for Soil Saturated Conductivity Prediction
Francesco Granata, Fabio Di Nunno, Giuseppe Modoni
Water (2022) Vol. 14, Iss. 11, pp. 1729-1729
Open Access | Times Cited: 19
A VMD-MSMA-LSTM-ARIMA model for precipitation prediction
Xuefei Cui, Zhaocai Wang, Renlin Pei
Hydrological Sciences Journal (2023) Vol. 68, Iss. 6, pp. 810-839
Closed Access | Times Cited: 11
Analyzing groundwater level with hybrid ANN and ANFIS using metaheuristic optimization
Thandra Jithendra, S. Sharief Basha
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 3323-3353
Closed Access | Times Cited: 11
Multi-step ahead groundwater level forecasting in Grand Est, France: Comparison between stacked machine learning model and radial basis function neural network
Fabio Di Nunno, Carlo Giudicianni, Enrico Creaco, et al.
Groundwater for Sustainable Development (2023) Vol. 23, pp. 101042-101042
Closed Access | Times Cited: 11
Multi-step-ahead prediction of river flow using NARX neural networks and deep learning LSTM
Gasim Hayder, Mahmud Iwan Solihin, M. R. N. Najwa
H2Open Journal (2022) Vol. 5, Iss. 1, pp. 43-60
Open Access | Times Cited: 17
Groundwater Level Fluctuations in Coastal Aquifer: Using Artificial Neural Networks to Predict the Impacts of Climatical CMIP6 Scenarios
Adib Roshani, Mehdi Hamidi
Water Resources Management (2022) Vol. 36, Iss. 11, pp. 3981-4001
Closed Access | Times Cited: 16
A parsimonious methodological framework for short-term forecasting of groundwater levels
Antonio‐Juan Collados‐Lara, D. Pulido-Velazquez, L.G.B. Ruiz, et al.
The Science of The Total Environment (2023) Vol. 881, pp. 163328-163328
Open Access | Times Cited: 9

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