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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:

Optimized Scenario for Estimating Suspended Sediment Yield Using an Artificial Neural Network Coupled with a Genetic Algorithm
Arvind Yadav, Mohammad Kamrul Hasan, Devendra Joshi, et al.
Water (2022) Vol. 14, Iss. 18, pp. 2815-2815
Open Access | Times Cited: 9

Showing 9 citing articles:

Uncertainty analysis of discharge coefficient predicted for rectangular side weir using machine learning methods
Seyed Morteza Seyedian, Özgür Kişi
Journal of Hydrology and Hydromechanics (2024) Vol. 72, Iss. 1, pp. 113-130
Open Access | Times Cited: 5
Utilizing Hybrid Machine Learning Techniques and Gridded Precipitation Data for Advanced Discharge Simulation in Under-Monitored River Basins
Reza Morovati, Özgür Kişi
Hydrology (2024) Vol. 11, Iss. 4, pp. 48-48
Open Access | Times Cited: 4
Comparative Study of Suspended Sediment Load Prediction Models Based on Artificial Intelligence Methods
Cynthia Borkai Boye, Paul Boye, Yao Yevenyo Ziggah
Artificial Intelligence and Applications (2023) Vol. 2, Iss. 2, pp. 141-154
Open Access | Times Cited: 7
A Multi-Functional Genetic Algorithm-Neural Network Model for Predicting Suspended Sediment Loads
Haitham Abdulmohsin Afan, Wan Hanna Melini Wan Mohtar, Muammer Aksoy, et al.
Water Resources Management (2024)
Closed Access | Times Cited: 2
River discharge prediction using wavelet-based artificial neural network and long short-term memory models: a case study of Teesta River Basin, India
Swarnadeepa Chakraborty, Sujata Biswas
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 8, pp. 3163-3184
Closed Access | Times Cited: 5
Hybrid Artificial Intelligence-Based Models for Prediction of Death Rate in India Due to COVID-19 Transmission
Arvind Yadav, Vinod Kumar, Devendra Joshi, et al.
International Journal of Reliable and Quality E-Healthcare (2023) Vol. 12, Iss. 2, pp. 1-15
Open Access | Times Cited: 3
Prediction of the Sound Absorption Coefficient of Three-Layer Aluminum Foam by Hybrid Neural Network Optimization Algorithm
Han Mi, Wenlong Guo, Lisi Liang, et al.
Materials (2022) Vol. 15, Iss. 23, pp. 8608-8608
Open Access | Times Cited: 4
Application of Gridded Precipitation Datasets for Simulating Discharge along with Hybrid Machine Learning Methods: An Operational Approach for Poorly Gauged Basins
Reza Morovati
Research Square (Research Square) (2023)
Open Access
Evaluating the Efficiency of Skew Correction Factors in Sediment Rating Curve and Comparison with Intelligent Models (Case Study: Jelogir Station, Khuzestan - Karkheh Catchment)
Fatemeh Avazpour, Mohammad Hadian, Ali Talebi
Akhbār. (2023) Vol. 13, Iss. 4, pp. 235-255
Open Access
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