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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 Sediment Yields Using a Data-Driven Radial M5 Tree Model
Behrooz Keshtegar, Jamshid Piri, Waqas Ul Hussan, et al.
Water (2023) Vol. 15, Iss. 7, pp. 1437-1437
Open Access | Times Cited: 12

Showing 12 citing articles:

Improving Significant Wave Height Prediction Using a Neuro-Fuzzy Approach and Marine Predators Algorithm
Rana Muhammad Adnan Ikram, Xinyi Cao, Tayeb Sadeghifar, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 6, pp. 1163-1163
Open Access | Times Cited: 17
A comparative survey between cascade correlation neural network (CCNN) and feedforward neural network (FFNN) machine learning models for forecasting suspended sediment concentration
Bhupendra Joshi, Vijay Kumar Singh, Dinesh Kumar Vishwakarma, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Suspended Load Modeling of River Using Soft Computing Techniques
Amir Moradinejad
Water Resources Management (2024) Vol. 38, Iss. 6, pp. 1965-1986
Open Access | Times Cited: 4
An integration of intelligent approaches and economic criteria for predictive analytics of occupational accidents
Kamran Gholamizadeh, Esmaeil Zarei, Mohammad Yazdi, et al.
Decision Analytics Journal (2023) Vol. 9, pp. 100357-100357
Open Access | Times Cited: 10
Unveiling the SALSTM-M5T model and its python implementation for precise solar radiation prediction
Mohammad Ehteram, Hanieh Shabanian
Energy Reports (2023) Vol. 10, pp. 3402-3417
Open Access | Times Cited: 8
Applying a transfer function model to improve the sediment rating curve
Solmaz Khazaei Moughani, Shiva Rezazadeh, Majid Azimmohseni, et al.
International Journal of River Basin Management (2024), pp. 1-13
Closed Access | Times Cited: 2
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
Assessment of sediment yield and surface runoff using the SWAT hydrological model: a case study of the Khazir River basin, northern Iraq
Asaad Al-Hussein, Younes Hamed, Salem Bouri
Euro-Mediterranean Journal for Environmental Integration (2024) Vol. 9, Iss. 2, pp. 809-825
Closed Access | Times Cited: 2
Using Microwave-Assisted Extraction with Advanced Artificial Intelligence Models for Predicting Tannins in Black Pepper (Piper nigrum L.)
Mostafa Khajeh, Mansour Ghaffari‐Moghaddam, Jamshid Piri, et al.
Journal of Applied Research on Medicinal and Aromatic Plants (2024), pp. 100594-100594
Closed Access
Evaluation of the Sediment Input to the Lateral Intake Using Data Mining and Multivariate Regression Methods
Amir Moradinejad
(2024)
Closed Access
Improved quantum artificial bee colony algorithm-optimized artificial intelligence models for suspended sediment load predicting
Peng. Wei, Yu Wang
IEEE Access (2023), pp. 1-1
Open Access | Times Cited: 1
Suspended Load Modeling of River using Soft Computing Techniques
Amir Moradinejad
Research Square (Research Square) (2023)
Open Access
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