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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:

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

Showing 1-25 of 46 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
An ensemble CNN-LSTM and GRU adaptive weighting model based improved sparrow search algorithm for predicting runoff using historical meteorological and runoff data as input
Zhiyuan Yao, Zhaocai Wang, Dangwei Wang, et al.
Journal of Hydrology (2023) Vol. 625, pp. 129977-129977
Closed Access | Times Cited: 95
River flow rate prediction in the Des Moines watershed (Iowa, USA): a machine learning approach
Ahmed Elbeltagi, Fabio Di Nunno, Nand Lal Kushwaha, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 11, pp. 3835-3855
Closed Access | Times Cited: 39
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
Daily Streamflow Forecasting Based on the Hybrid Particle Swarm Optimization and Long Short-Term Memory Model in the Orontes Basin
Hüseyin Çağan Kılınç
Water (2022) Vol. 14, Iss. 3, pp. 490-490
Open Access | Times Cited: 38
A novel additive regression model for streamflow forecasting in German rivers
Francesco Granata, Fabio Di Nunno, Quoc Bao Pham
Results in Engineering (2024) Vol. 22, pp. 102104-102104
Open Access | Times Cited: 13
A hybrid framework based on LSTM for predicting karst spring discharge using historical data
Wenrui Zhang, Limin Duan, Tingxi Liu, et al.
Journal of Hydrology (2024) Vol. 633, pp. 130946-130946
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
Hydraulic Efficiency of Green-Blue Flood Control Scenarios for Vegetated Rivers: 1D and 2D Unsteady Simulations
Giuseppe Francesco Cesare Lama, Matteo Rillo Migliorini Giovannini, Alessandro Errico, et al.
Water (2021) Vol. 13, Iss. 19, pp. 2620-2620
Open Access | Times Cited: 50
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
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
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
Analysis of trends and abrupt changes in groundwater and meteorological droughts in the United Kingdom
Fabio Di Nunno, Francesco Granata
Journal of Hydrology (2024) Vol. 637, pp. 131430-131430
Closed Access | Times Cited: 6
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
Improving Reference Evapotranspiration Predictions with Hybrid Modeling Approach
Rimsha Habeeb, Mohammed M. A. Almazah, Ijaz Hussain, et al.
Earth Systems and Environment (2025)
Closed Access
NARX Model for Potato Price Prediction Utilising Multimarket Information
Ronit Jaiswal, Girish Kumar Jha, Rajeev Ranjan Kumar, et al.
Potato Research (2025)
Closed Access
Neural network approach for modeling future natural river flows: Assessing climate change impacts on the Tagus River
Diego Fernández-Nóvoa, Pedro M. M. Soares, Orlando García-Feal, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102191-102191
Closed Access
Assessing atmospheric influences for improving time-varying data-driven decadal predictions of Mediterranean spring discharge
Nazzareno Diodato, Francesco Granata, Fabio Di Nunno, et al.
Hydrological Sciences Journal (2025)
Closed Access
Novel Model Based on Artificial Neural Networks to Predict Short-Term Temperature Evolution in Museum Environment
Alessandro Bile, Hamed Tari, Andreas Grinde, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 615-615
Open Access | Times Cited: 17
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
A Fully Connected Neural Network (FCNN) Model to Simulate Karst Spring Flowrates in the Umbria Region (Central Italy)
Francesco Maria De Filippi, Matteo Ginesi, Giuseppe Sappa
Water (2024) Vol. 16, Iss. 18, pp. 2580-2580
Open Access | Times Cited: 3
Successful prediction for coagulant dosage and effluent turbidity of a coagulation process in a drinking water treatment plant based on the Elman neural network and random forest models
Dongsheng Wang, Le Chen, Taiyang Li, et al.
Environmental Science Water Research & Technology (2023) Vol. 9, Iss. 9, pp. 2263-2274
Closed Access | Times Cited: 8
A Unique Approach to Hydrological Behavior along the Bednja River (Croatia) Watercourse
Bojan Ðurin, Lucija Plantak, Ognjen Bonacci, et al.
Water (2023) Vol. 15, Iss. 3, pp. 589-589
Open Access | Times Cited: 7
Enhancing hydrological predictions: optimised decision tree modelling for improved monthly inflow forecasting
Osama A. Abozweita, Ali Najah Ahmed, Lariyah Mohd Sidek, et al.
Journal of Hydroinformatics (2024)
Open Access | Times Cited: 2
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
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