Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Forecasting of Extreme Storm Tide Events Using NARX Neural Network-Based Models
Fabio Di Nunno, Francesco Granata, Rudy Gargano, et al.
Atmosphere (2021) Vol. 12, Iss. 4, pp. 512-512
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Forecasting evapotranspiration in different climates using ensembles of recurrent neural networks
Francesco Granata, Fabio Di Nunno
Agricultural Water Management (2021) Vol. 255, pp. 107040-107040
Closed Access | Times Cited: 131
Groundwater level prediction using machine learning algorithms in a drought-prone area
Quoc Bao Pham, Manish Kumar, Fabio Di Nunno, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 13, pp. 10751-10773
Closed Access | Times Cited: 125
A multi-stage forecasting system for daily ocean tidal energy based on secondary decomposition, optimized gate recurrent unit and error correction
Hong Yang, Qingsong Wu, Guohui Li
Journal of Cleaner Production (2024) Vol. 449, pp. 141303-141303
Closed Access | Times Cited: 17
Short-term forecasts of streamflow in the UK based on a novel hybrid artificial intelligence algorithm
Fabio Di Nunno, Giovanni de Marinis, Francesco Granata
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 39
Short-term probabilistic prediction of significant wave height using bayesian model averaging: Case study of chabahar port, Iran
Rana Muhammad Adnan, Tayeb Sadeghifar, Meysam Alizamir, et al.
Ocean Engineering (2023) Vol. 272, pp. 113887-113887
Closed Access | Times Cited: 32
An optimized NARX-based model for predicting thermal dynamics and heatwaves in rivers
Senlin Zhu, Fabio Di Nunno, Jiang Sun, et al.
The Science of The Total Environment (2024) Vol. 926, pp. 171954-171954
Closed Access | Times Cited: 11
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
Prediction of spring flows using nonlinear autoregressive exogenous (NARX) neural network models
Fabio Di Nunno, Francesco Granata, Rudy Gargano, et al.
Environmental Monitoring and Assessment (2021) Vol. 193, Iss. 6
Closed Access | Times Cited: 46
Development of Deep Learning Models to Improve the Accuracy of Water Levels Time Series Prediction through Multivariate Hydrological Data
Kidoo Park, Younghun Jung, Yeonjeong Seong, et al.
Water (2022) Vol. 14, Iss. 3, pp. 469-469
Open Access | Times Cited: 32
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
A Review of Application of Machine Learning in Storm Surge Problems
Yue Qin, Changyu Su, Dongdong Chu, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 9, pp. 1729-1729
Open Access | Times Cited: 17
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
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 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
Mechanisms of Intraseasonal Oscillation in Equatorial Surface Currents in the Pacific Ocean Identified by Neural Network Models
Jianqi You, Peng Liang, Lina Yang, et al.
Journal of Geophysical Research Oceans (2025) Vol. 130, Iss. 2
Closed Access
Development of Water Level Prediction Improvement Method Using Multivariate Time Series Data by GRU Model
Kidoo Park, Yeonjeong Seong, Younghun Jung, et al.
Water (2023) Vol. 15, Iss. 3, pp. 587-587
Open Access | Times Cited: 8
An Improved VMD–EEMD–LSTM Time Series Hybrid Prediction Model for Sea Surface Height Derived from Satellite Altimetry Data
Hongkang Chen, Tieding Lu, Jiahui Huang, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 12, pp. 2386-2386
Open Access | Times Cited: 8
Insights on the Extreme Storm Surge Event of the 22 November 2022 in the Venice Lagoon
Riccardo Mel, Elisa Coraci, Sara Morucci, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 9, pp. 1750-1750
Open Access | Times Cited: 7
Design of an Intelligent Variable-Flow Recirculating Aquaculture System Based on Machine Learning Methods
Fudi Chen, Yishuai Du, Tianlong Qiu, et al.
Applied Sciences (2021) Vol. 11, Iss. 14, pp. 6546-6546
Open Access | Times Cited: 17
Calibrating MERRA-2 PM2.5 concentrations with aerosol diagnostics: testing different machine learning approaches in the Eastern Mediterranean
Gizem Tuna Tuygun, Serdar Gündoğdu, Tolga Elbir
Air Quality Atmosphere & Health (2022) Vol. 15, Iss. 12, pp. 2283-2297
Closed Access | Times Cited: 12
Forecasting groundwater level of karst aquifer in a large mining area using partial mutual information and NARX hybrid model
Wenrui Zhang, Tingxi Liu, Limin Duan, et al.
Environmental Research (2022) Vol. 213, pp. 113747-113747
Closed Access | Times Cited: 10
Storm surge level prediction based on improved NARX neural network
Lianbo Li, Wenhao Wu, Wenjun Zhang, et al.
Journal of Computational Electronics (2023) Vol. 22, Iss. 2, pp. 783-804
Open Access | Times Cited: 5
Modeling of an Irrigation Main Canal Pool based on a NARX-ANN System Identification
Selma Benftima, Saddam Gharab, R. Rivas‐Perez, et al.
Communications in Nonlinear Science and Numerical Simulation (2024) Vol. 132, pp. 107929-107929
Open Access | Times Cited: 1
A Hydraulic Prediction Model for an Open-Channel Water Transfer Project
Xiaowei Liu, Ming-Hu Ha, Xiaohui Lei, et al.
(2024)
Closed Access | Times Cited: 1
Software reliability prediction: A machine learning and approximation Bayesian inference approach
Shahrzad Oveisi, Ali Moeini, Sayeh Mirzaei, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 7, pp. 4004-4037
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top