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 Interval Estimation Methods for Artificial Neural Network (ANN)-Based Modeling of the Hydro-Climatic Processes, a Review
Vahid Nourani, Nardin Jabbarian Paknezhad, Hitoshi Tanaka
Sustainability (2021) Vol. 13, Iss. 4, pp. 1633-1633
Open Access | Times Cited: 24

Showing 24 citing articles:

Application of Machine Learning in Water Resources Management: A Systematic Literature Review
Fatemeh Ghobadi, Doosun Kang
Water (2023) Vol. 15, Iss. 4, pp. 620-620
Open Access | Times Cited: 76

Multifractal Applications in Hydro-Climatology: A Comprehensive Review of Modern Methods
Shamseena Vahab, S. Adarsh
Fractal and Fractional (2025) Vol. 9, Iss. 1, pp. 27-27
Open Access | Times Cited: 3

Estimation of prediction intervals for uncertainty assessment of artificial neural network based wastewater treatment plant effluent modeling
Vahid Nourani, Reza Shahidi Zonouz, Mehdi Dini
Journal of Water Process Engineering (2023) Vol. 55, pp. 104145-104145
Closed Access | Times Cited: 11

Stochastic (S[ARIMA]), shallow (NARnet, NAR-GMDH, OS-ELM), and deep learning (LSTM, Stacked-LSTM, CNN-GRU) models, application to river flow forecasting
Marwan Kheimi, Mohammad Almadani, Mohammad Zounemat‐Kermani
Acta Geophysica (2023) Vol. 72, Iss. 4, pp. 2679-2693
Closed Access | Times Cited: 10

A flood Impact-Based forecasting system by fuzzy inference techniques
Gary Wee, Li‐Chiu Chang, Fi‐John Chang, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130117-130117
Closed Access | Times Cited: 10

Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields
Pratik Nag, Ying Sun, Brian J. Reich
Technometrics (2025), pp. 1-20
Open Access

Dissolved oxygen content interval prediction based on auto regression recurrent neural network
Jiande Huang, Yue Huang, Shahbaz Gul Hassan, et al.
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 14, Iss. 6, pp. 7255-7264
Closed Access | Times Cited: 20

Application of PPIE method to assess the uncertainty and accuracy of multi-climate model-based temperature and precipitation downscaling
Vahid Nourani, Nardin Jabbarian Paknezhad, Jinhui Jeanne Huang‬‬‬‬
Theoretical and Applied Climatology (2022) Vol. 147, Iss. 3-4, pp. 1327-1343
Closed Access | Times Cited: 9

The role of artificial intelligence (AI) and Chatgpt in water resources, including its potential benefits and associated challenges
Saif Haider, Muhammad Rashid, Muhammad Atiq Ur Rehman Tariq, et al.
Discover Water (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 1

Uncertainty Assessment of Ensemble Base Machine Learning Modeling for Multi-step Ahead Forecasting of Dam Reservoir Inflows
Vahid Nourani, Bagher Nikoufar, Nardin Jabbarian Paknezhad, et al.
Iranian Journal of Science and Technology Transactions of Civil Engineering (2024)
Closed Access | Times Cited: 1

Global Surface HCHO Distribution Derived from Satellite Observations with Neural Networks Technique
Jian Guan, Bohan Jin, Yizhe Ding, et al.
Remote Sensing (2021) Vol. 13, Iss. 20, pp. 4055-4055
Open Access | Times Cited: 7

A Model Stacking Approach for Forecasting Mortality
Jackie Li
North American Actuarial Journal (2022) Vol. 27, Iss. 3, pp. 530-545
Closed Access | Times Cited: 5

Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management
Özgür Kişi
Sustainability (2021) Vol. 13, Iss. 15, pp. 8596-8596
Open Access | Times Cited: 6

A comparative study of forecasting methods using real-life econometric series data
Cláudia Eliane da Matta, Natália Maria Puggina Bianchesi, Milena Silva de Oliveira, et al.
Production (2021) Vol. 31
Open Access | Times Cited: 6

BAYESIAN NEURAL NETWORK RAINFALL MODELLING: A CASE STUDY IN EAST JAVA
Suci Astutik, Nur Silviyah Rahmi, Diego Irsandy, et al.
BAREKENG JURNAL ILMU MATEMATIKA DAN TERAPAN (2024) Vol. 18, Iss. 2, pp. 1105-1116
Open Access

Neural Network-Enhanced Decision Support: Investigating Prediction Intervals for Real-Time Digital Marketing Return on Investment Data
Lucas Rabelo de Araujo Morais, Gecynalda Soares da Silva Gomes
(2024), pp. 47-60
Closed Access

Quantifying Streamflow Prediction Uncertainty Through Process‐Aware Data‐Driven Models
Abhinanda Roy, K. S. Kasiviswanathan
Hydrological Processes (2024) Vol. 38, Iss. 11
Closed Access

Multi-output neural network for rainfall forecasting in East Java Province Indonesia
Agus Putradana Amertha, Suci Astutik, Ani Budi Astuti
AIP conference proceedings (2024) Vol. 3231, pp. 060010-060010
Closed Access

Evaluation the Performance of Three Types of Two-Source Evapotranspiration Models in Urban Woodland Areas
Han Chen, Ziqi Zhou, Han Li, et al.
Sustainability (2023) Vol. 15, Iss. 12, pp. 9826-9826
Open Access | Times Cited: 1

A novel approach for prediction of daily streamflow discharge data using correlation based feature selection and random forest method
Levent Latifoğlu
International Advanced Researches and Engineering Journal (2022) Vol. 6, Iss. 1, pp. 1-7
Open Access | Times Cited: 2

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