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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 groundwater level variations using deep learning methods and GMS numerical model
Siamak Amiri, Ahmad Rajabi, Saeid Shabanlou, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 3227-3241
Closed Access | Times Cited: 21

Showing 21 citing articles:

Optimization of Integrated Operation of Surface and Groundwater Resources using Multi-Objective Grey Wolf Optimizer (MOGWO) Algorithm
Ali Torabi, Fariborz Yosefvand, Saeid Shabanlou, et al.
Water Resources Management (2024) Vol. 38, Iss. 6, pp. 2079-2099
Closed Access | Times Cited: 8
Projection of groundwater level fluctuations using deep learning and dynamic system response models in a drought affected area
Dilip Kumar Roy, Chitra Rani Paul, Md. Panjarul Haque, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access
An improved support vector machine model for groundwater level prediction: a case study
Sasmita Sahoo, Deba Prakash Satapathy
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access
An Intelligent Combination of Machine Learning Approaches for Groundwater Fluctuations Prediction
Abbasali Rezapour, Mostafa Sabzekar
Iranian Journal of Science and Technology Transactions of Civil Engineering (2025)
Closed Access
Design optimization of dual-circulation wells using deep learning
Yang Sikai, Fang Zhang, Yanling Ma, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
Prediction of groundwater level using GMDH artificial neural network based on climate change scenarios
Ehsan Azizi, Fariborz Yosefvand, Behrouz Yaghoubi, et al.
Applied Water Science (2024) Vol. 14, Iss. 4
Open Access | Times Cited: 4
A Hybrid Machine Learning Model for Modeling Nitrate Concentration in Water Sources
Adnan Mazraeh, Meysam Bagherifar, Saeid Shabanlou, et al.
Water Air & Soil Pollution (2023) Vol. 234, Iss. 11
Closed Access | Times Cited: 10
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: 10
A novel committee-based framework for modeling groundwater level fluctuations: A combination of mathematical and machine learning models using the weighted multi-model ensemble mean algorithm
Adnan Mazraeh, Meysam Bagherifar, Saeid Shabanlou, et al.
Groundwater for Sustainable Development (2023) Vol. 24, pp. 101062-101062
Closed Access | Times Cited: 7
An Adaptive Hybrid (1D-2D) Convolution-Based ShuffleNetV2 Mechanism for Irrigation Levels Prediction in Agricultural Fields With Smart IoTs
Xuehui Xu, R. S. M. Lakshmi Patibandla, Amit Arora, et al.
IEEE Access (2024) Vol. 12, pp. 71901-71918
Open Access | Times Cited: 2
ViT-Based Image Regression Model for Shear-Strength Prediction of Transparent Soil
Ziyi Wang, Jinqing Jia, Lihua Zhang, et al.
Buildings (2024) Vol. 14, Iss. 4, pp. 959-959
Open Access | Times Cited: 1
Balancing Results from AI-Based Geostatistics versus Fuzzy Inference by Game Theory Bargaining to Improve a Groundwater Monitoring Network
Masoumeh Hashemi, Richard C. Peralta, Matt A. Yost
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 3, pp. 1871-1893
Open Access | Times Cited: 1
Simulation of monthly river flow using SVR neural network improved with population-based optimization algorithms
Ashkan Kohansarbaz, Behrouz Yaghoubi, Saeid Shabanlou, et al.
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 3, pp. 4525-4547
Closed Access | Times Cited: 1
Artificial Intelligence Advancements for Accurate Groundwater Level Modelling: An Updated Synthesis and Review
Saeid Pourmorad, Mostafa Kabolizade, Luca António Dimuccio
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 7358-7358
Open Access | Times Cited: 1
Optimal operation of the dam reservoir in real time based on generalized structure of group method of data handling and optimization technique
Sedighe Mansouri, Hossein Fathian, Alireza Nikbakht Shahbazi, et al.
Applied Water Science (2024) Vol. 14, Iss. 5
Open Access
Integrating geostatistical methods and neural networks for enhanced transmissivity mapping in the heterogeneous Annaba aquifer system (SE Algeria)
Samir Hani, Samir Boudibi, Nabil Bougherira, et al.
Modeling Earth Systems and Environment (2024)
Closed Access
Spatiotemporal Assessment and Machine Learning-Based Future Forecasting of Groundwater Hydro chemical Dynamics and Drawdown Variability
Sheraz Maqbool, Muhammad Imran Khan, Aamir Raza, et al.
Research Square (Research Square) (2024)
Closed Access
Development on Surrogate Models for Predicting Plume Evolution Features of Groundwater Contamination with Natural Attenuation
Yajing Wang, Mingyu Wang, Runfeng Liu
Water (2024) Vol. 16, Iss. 19, pp. 2861-2861
Open Access
Multi-objective simulation–optimization for water resources management and uses in multi-dam systems in low-water regions
Moslem Najafi, Mohsen Najarchi, Seyed Mohammad Mirhosseini
Applied Water Science (2024) Vol. 14, Iss. 11
Open Access
Development of a coupled surface water–groundwater model for the spatiotemporal simulation of river–aquifer interactions
Abbas Rasool Al‐Suraifi, Reza Shirinabadi, Hamidreza Rabiefar, et al.
Irrigation and Drainage (2024)
Closed Access
Evaluating machine learning models in predicting GRI drought indicators (case study: Ajabshir area)
Mahtab Faramarzpour, Ali Saremi, Amir Khosrojerdi, et al.
Applied Water Science (2024) Vol. 14, Iss. 9
Open Access
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