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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:

Simulation of Quantity and Quality of Saq Aquifer Using Artificial Intelligence and Hydraulic Models
Abdul Razzaq Ghumman, Ghufran Ahmed Pasha, Md. Shafiquzzaman, et al.
Advances in Civil Engineering (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 9

Showing 9 citing articles:

Groundwater level forecasting with machine learning models: A review
Kenneth Beng Wee Boo, Ahmed El‐Shafie, Faridah Othman, et al.
Water Research (2024) Vol. 252, pp. 121249-121249
Closed Access | Times Cited: 24
Prediction of Nitrate Concentration and the Impact of Land Use Types on Groundwater in the Nansi Lake Basin
Javed Iqbal, Chunli Su, Hasnain Abbas, et al.
Journal of Hazardous Materials (2025) Vol. 487, pp. 137185-137185
Closed Access | Times Cited: 3
Revolutionizing Groundwater Management with Hybrid AI Models: A Practical Review
Mojtaba Zaresefat, Reza Derakhshani
Water (2023) Vol. 15, Iss. 9, pp. 1750-1750
Open Access | Times Cited: 26
Advanced Prediction Models for Scouring Around Bridge Abutments: A Comparative Study of Empirical and AI Techniques
Zaka Ullah Khan, Diyar Khan, Nadir Murtaza, et al.
Water (2024) Vol. 16, Iss. 21, pp. 3082-3082
Open Access | Times Cited: 6
A pioneering approach to deterministic rainfall forecasting for wet period in the Northern Territory of Australia using machine learning
Rashid Farooq, Monzur Alam Imteaz, Fatemeh Mekanik
Earth Science Informatics (2025) Vol. 18, Iss. 2
Open Access
Machine learning algorithms to forecast wet-period rainfall using climate indices in Northern Territory of Australia
Rashid Farooq, Monzur Alam Imteaz, Donghui Shangguan, et al.
Science Talks (2024), pp. 100397-100397
Open Access | Times Cited: 2
Experimental and Artificial Neural Network (ANN) Modeling of Instream Vegetation Hydrodynamic Resistance
Afzal Ahmed, Manousos Valyrakis, Abdul Razzaq Ghumman, et al.
Hydrology (2023) Vol. 10, Iss. 3, pp. 73-73
Open Access | Times Cited: 6
Seasonal Rainfall Forecasting Using Wavelet Based Hybrid Models
Rashid Farooq, Monzur Alam Imteaz
(2023), pp. 1-7
Closed Access | Times Cited: 3
A Comparative Analysis of Sediment Concentration Using Artificial Intelligence and Empirical Equations
Muhammad Ashraf Khalid, Abdul Razzaq Ghumman, Ghufran Ahmed Pasha
Hydrology (2024) Vol. 11, Iss. 5, pp. 63-63
Open Access
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