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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:

Application of artificial intelligence models for prediction of groundwater level fluctuations: case study (Tehran-Karaj alluvial aquifer)
Meysam Vadiati, Zahra Rajabi Yami, Effat Eskandari, et al.
Environmental Monitoring and Assessment (2022) Vol. 194, Iss. 9
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Human health risk of nitrate in groundwater of Tehran–Karaj plain, Iran
Maedeh Alizadeh, Roohollah Noori, Babak Omidvar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
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 | Times Cited: 1
Prediction of groundwater level changes based on machine learning technique in highly groundwater irrigated alluvial aquifers of south-central Punjab, India
Sushindra Kumar Gupta, Sashikanta Sahoo, Bibhuti Bhusan Sahoo, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024) Vol. 135, pp. 103603-103603
Closed Access | Times Cited: 8
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: 7
A hybrid wavelet–machine learning model for qanat water flow prediction
Saeideh Samani, Meysam Vadiati, Madjid Delkash, et al.
Acta Geophysica (2022) Vol. 71, Iss. 4, pp. 1895-1913
Closed Access | Times Cited: 28
Improving Forecasting Accuracy of Multi-Scale Groundwater Level Fluctuations Using a Heterogeneous Ensemble of Machine Learning Algorithms
Dilip Kumar Roy, Tasnia Hossain Munmun, Chitra Rani Paul, et al.
Water (2023) Vol. 15, Iss. 20, pp. 3624-3624
Open Access | Times Cited: 11
Towards Groundwater-Level Prediction Using Prophet Forecasting Method by Exploiting a High-Resolution Hydrogeological Monitoring System
Davide Fronzi, Gagan Narang, Alessandro Galdelli, et al.
Water (2023) Vol. 16, Iss. 1, pp. 152-152
Open Access | Times Cited: 11
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: 10
Advanced groundwater level forecasting with hybrid deep learning model: Tackling water challenges in Taiwan’s largest alluvial fan
Yu-Wen Chang, Wei Sun, Pu-Yun Kow, et al.
Journal of Hydrology (2025), pp. 132887-132887
Closed Access
Characterization of karst aquifers of the Hashtgerd Basin (North Iran) using a combination of geological, hydrodynamical, hydrochemical and isotopic investigations
Mohammad Haghiri, Morteza Mozafari
Hydrogeology Journal (2025)
Closed Access
Knowledge- and data-driven prediction of blast furnace gas generation and consumption in iron and steel sites
Shuhan Liu, Wenqiang Sun
Applied Energy (2025) Vol. 390, pp. 125819-125819
Closed Access
A Novel Design Ricker Wavelet Neural Networks for Heat Transfer in Maxwell Fluid Boundary Layer Flow with Viscous Dissipation over a Porous Stretchable Sheet
Zeeshan Ikram Butt, Iftikhar Ahmad, Muhammad Shoaib, et al.
Acta Applicandae Mathematicae (2025) Vol. 197, Iss. 1
Open Access
Prediction of two groundwater sustainability indicators in semi-arid aquifers using machine learning
Susan Hayeri Yazdi, Maryam Robati, Saeideh Samani, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 11
Closed Access
Deformation Prediction System of Concrete Dam Based on IVM-SCSO-RF
Shi Zhang, Dongjian Zheng, Yongtao Liu
Water (2022) Vol. 14, Iss. 22, pp. 3739-3739
Open Access | Times Cited: 16
An approach on the estimation and temporal interaction of runoff: the band similarity method
Volkan Yılmaz, Cihangir Köyceğiz, Meral Büyükyıldız
Journal of Water and Climate Change (2024)
Open Access | Times Cited: 3
Comparison of Novel Hybrid and Benchmark Machine Learning Algorithms to Predict Groundwater Potentiality: Case of a Drought-Prone Region of Medjerda Basin, Northern Tunisia
Fatma Trabelsi, Salsebil Bel Hadj Ali, Saro Lee
Remote Sensing (2022) Vol. 15, Iss. 1, pp. 152-152
Open Access | Times Cited: 14
Deep Learning Methods for Predicting Tap-Water Quality Time Series in South Korea
Yunjeong Im, Gyuwon Song, Junghyun Lee, et al.
Water (2022) Vol. 14, Iss. 22, pp. 3766-3766
Open Access | Times Cited: 12
A literature review on pumping test analysis (2000–2022)
zahra dashti, Mohammad Nakhaei, Meysam Vadiati, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 4, pp. 9184-9206
Closed Access | Times Cited: 12
Bayesian Model Averaging Ensemble Approach for Multi-Time-Ahead Groundwater Level Prediction Combining the GRACE, GLEAM, and GLDAS Data in Arid Areas
Ting Zhou, Xiaohu Wen, Qi Feng, et al.
Remote Sensing (2022) Vol. 15, Iss. 1, pp. 188-188
Open Access | Times Cited: 12
Physics-informed neural networks in groundwater flow modeling: Advantages and future directions
Ahmed Ali, Farhad Jazaei, T. Prabhakar Clement, et al.
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101172-101172
Closed Access | Times Cited: 2
Prediction of Dam Deformation Using SSA-LSTM Model Based on Empirical Mode Decomposition Method and Wavelet Threshold Noise Reduction
Caiyi Zhang, Shuyan Fu, Bin Ou, et al.
Water (2022) Vol. 14, Iss. 21, pp. 3380-3380
Open Access | Times Cited: 11
Risk Analysis of Heavy Metals and Groundwater Quality Indices in Residential Areas: A Case Study in the Rajanpur District, Pakistan
Asima Mughal, Khawar Sultan, Kamran Ashraf, et al.
Water (2022) Vol. 14, Iss. 21, pp. 3551-3551
Open Access | Times Cited: 11
Data driven of underground water level using artificial intelligence hybrid algorithms
Mohammadtaghi Rahimi, Hossein Ebrahimi
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
Machine Learning for Surrogate Groundwater Modelling of a Small Carbonate Island
Karl Payne, Peter Chami, Ivanna Odle, et al.
Hydrology (2022) Vol. 10, Iss. 1, pp. 2-2
Open Access | Times Cited: 8
Downscaling WGHM-Based Groundwater Storage Using Random Forest Method: A Regional Study over Qazvin Plain, Iran
Soroush Zarghami Dastjerdi, Ehsan Sharifi, Rozita Rahbar, et al.
Hydrology (2022) Vol. 9, Iss. 10, pp. 179-179
Open Access | Times Cited: 7
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