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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:

A Hybrid ANFIS-GA Approach for Estimation of Hydrological Time Series
Bülent Haznedar, Hüseyin Çağan Kılınç
Water Resources Management (2022) Vol. 36, Iss. 12, pp. 4819-4842
Closed Access | Times Cited: 15

Showing 15 citing articles:

Flood discharge prediction using improved ANFIS model combined with hybrid particle swarm optimisation and slime mould algorithm
Sandeep Samantaray, Pratik Sahoo, Abinash Sahoo, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 35, pp. 83845-83872
Closed Access | Times Cited: 29
Optimization of LSTM Parameters for Flash Flood Forecasting Using Genetic Algorithm
You-Da Jhong, Chang‐Shian Chen, Bing-Chen Jhong, et al.
Water Resources Management (2024) Vol. 38, Iss. 3, pp. 1141-1164
Closed Access | Times Cited: 12
Assessing the impacts of climate change on precipitation through a hybrid method of machine learning and discrete wavelet transform techniques, case study: Cork, Ireland
Sogol Moradian, G. Iglesias, Ciarán Broderick, et al.
Journal of Hydrology Regional Studies (2023) Vol. 49, pp. 101523-101523
Open Access | Times Cited: 17
Enhancing Flood Risk Mitigation by Advanced Data-Driven Approach
Ali S. Chafjiri, Mohammad Gheibi, Benyamin Chahkandi, et al.
Heliyon (2024) Vol. 10, Iss. 18, pp. e37758-e37758
Open Access | Times Cited: 6
Water quality fluctuations prediction and Debi estimation based on stochastic optimized weighted ensemble learning machine
Mojtaba Poursaeid, Amir Hossein Poursaeed, Saeid Shabanlou
Process Safety and Environmental Protection (2024) Vol. 188, pp. 1160-1174
Closed Access | Times Cited: 5
Unraveling the water quality-ecosystem nexus using Kalman filter-driven models and feature analysis under uncertainty
Mojtaba Poursaeid
Journal of Hydrology (2025), pp. 133092-133092
Closed Access
Short-term streamflow modeling using data-intelligence evolutionary machine learning models
Alfeu D. Martinho, Henrique S. Hippert, Leonardo Goliatt
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
Monthly River Discharge Forecasting Using Hybrid Models Based on Extreme Gradient Boosting Coupled with Wavelet Theory and Lévy–Jaya Optimization Algorithm
Jincheng Zhou, Dan Wang, Shahab S. Band, et al.
Water Resources Management (2023) Vol. 37, Iss. 10, pp. 3953-3972
Closed Access | Times Cited: 8
An optimized Extreme Learning Machine by Evolutionary Computation for River Flow Prediction and Simulation of Water Pollution in Colorado River Basin, USA
Mojtaba Poursaeid
Expert Systems with Applications (2023) Vol. 233, pp. 120998-120998
Closed Access | Times Cited: 8
Prediction of reservoir evaporation considering water temperature and using ANFIS hybridized with metaheuristic algorithms
Boudjerda Marouane, Mu’azu Mohammed Abdullahi, Andrea Petroselli‬
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1779-1798
Closed Access | Times Cited: 2
A comparative study of daily streamflow forecasting using firefly, artificial bee colony, and genetic algorithm-based artificial neural network
Hüseyin Çağan Kılınç, Bülent Haznedar, Okan Mert Katipoğlu, et al.
Acta Geophysica (2024) Vol. 72, Iss. 6, pp. 4575-4595
Closed Access | Times Cited: 2
Performance evaluation of various hydrological models with respect to hydrological responses under climate change scenario: a review
Yilak Taye Bihon, Tarun Kumar Lohani, Abebe Temesgen Ayalew, et al.
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Hybrid and Integrative Evolutionary Machine Learning in Hydrology: A Systematic Review and Meta-analysis
Amin Mahdavi‐Meymand, Wojciech Sulisz, Mohammad Zounemat‐Kermani
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 3, pp. 1297-1340
Closed Access | Times Cited: 3
Comprehensive Water Quality Indicators Modeling by Environmental Protection View using New Optimized Weighted Ensemble Machine Learnings and Multi Algorithms
Mojtaba Poursaeid
Process Safety and Environmental Protection (2024)
Closed Access
Optimizing transient monitoring of river streamflow by a highly predictive model utilizing optimized weighted ensemble models using Multi algorithms
Mojtaba Poursaeid
Journal of Hydrology (2024) Vol. 647, pp. 132373-132373
Closed Access
Precipitation Prediction Using Long Short-Term Memory Networks: Improving Seasonal Rainfall Forecast Accuracy for Flood and Drought Prevention
Siqi Dong
(2024), pp. 345-349
Closed Access
An Advanced Peaking Method for Improved Hydropower Plant Regulation and Power Grid Management
Chang Liu, Li Mo, Yongchuan Zhang
Research Square (Research Square) (2023)
Open Access
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