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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:

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

Showing 8 citing articles:

Hybrid WT–CNN–GRU-based model for the estimation of reservoir water quality variables considering spatio-temporal features
Mohammad Zamani, Mohammad Reza Nikoo, Ghazi Al-Rawas, et al.
Journal of Environmental Management (2024) Vol. 358, pp. 120756-120756
Closed Access | Times Cited: 21
Smarter water quality monitoring in reservoirs using interpretable deep learning models and feature importance analysis
Shabnam Majnooni, Mahmood Fooladi, Mohammad Reza Nikoo, et al.
Journal of Water Process Engineering (2024) Vol. 60, pp. 105187-105187
Closed Access | Times Cited: 10
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
A new strategy for prediction of water qualitative and quantitative parameters by deep learning-based models with determination of modelling uncertainties
Mojtaba Poursaeid, Amir Hossein Poursaeed
Hydrological Sciences Journal (2023) Vol. 69, Iss. 2, pp. 207-225
Closed Access | Times Cited: 4
Innovative Assessment of Mun River Flow Components through ANN and Isotopic End-Member Mixing Analysis
Phornsuda Chomcheawchan, Veeraphat Pawana, Phongthorn Julphunthong, et al.
(2024)
Open Access | Times Cited: 1
Innovative Assessment of Mun River Flow Components through ANN and Isotopic End-Member Mixing Analysis
Phornsuda Chomcheawchan, Veeraphat Pawana, Phongthorn Julphunthong, et al.
Geosciences (2024) Vol. 14, Iss. 6, pp. 150-150
Open Access
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
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