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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:

Forecasting Groundwater Levels using a Hybrid of Support Vector Regression and Particle Swarm Optimization
Saeed Mozaffari, Saman Javadi, Hamid Kardan Moghaddam, et al.
Water Resources Management (2022) Vol. 36, Iss. 6, pp. 1955-1972
Closed Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

A Comprehensive Survey of Machine Learning Methodologies with Emphasis in Water Resources Management
Maria Drogkoula, Konstantinos Kokkinos, Nicholas Samaras
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12147-12147
Open Access | Times Cited: 51
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: 31
Groundwater level prediction using an improved ELM model integrated with hybrid particle swarm optimisation and grey wolf optimisation
Sandeep Samantaray, Abinash Sahoo
Groundwater for Sustainable Development (2024) Vol. 26, pp. 101178-101178
Closed Access | Times Cited: 22
Optimized SVR model for predicting dissolved oxygen levels using wavelet denoising and variable reduction: Taking the Minjiang River estuary as an example
Peng Zhang, Xinyang Liu, Huiru Zhang, et al.
Ecological Informatics (2025) Vol. 86, pp. 103007-103007
Open Access | Times Cited: 2
Groundwater level modeling using Augmented Artificial Ecosystem Optimization
Nguyen Van Thieu, Surajit Deb Barma, To Van Lam, et al.
Journal of Hydrology (2022) Vol. 617, pp. 129034-129034
Closed Access | Times Cited: 51
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: 34
A Novel Hybrid Algorithms for Groundwater Level Prediction
Mohsen Saroughi, Ehsan Mirzania, Dinesh Kumar Vishwakarma, et al.
Iranian Journal of Science and Technology Transactions of Civil Engineering (2023) Vol. 47, Iss. 5, pp. 3147-3164
Closed Access | Times Cited: 30
Groundwater level forecasting in a data-scarce region through remote sensing data downscaling, hydrological modeling, and machine learning: A case study from Morocco
Abdellatif Rafik, Yassine Ait Brahim, Abdelhakim Amazirh, et al.
Journal of Hydrology Regional Studies (2023) Vol. 50, pp. 101569-101569
Open Access | Times Cited: 26
Self-attention (SA) temporal convolutional network (SATCN)-long short-term memory neural network (SATCN-LSTM): an advanced python code for predicting groundwater level
Mohammad Ehteram, Elham Ghanbari-Adivi
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 40, pp. 92903-92921
Closed Access | Times Cited: 25
Advancing groundwater vulnerability assessment in Bangladesh: a comprehensive machine learning approach
Saima Sekander Raisa, Showmitra Kumar Sarkar, Md. Ashhab Sadiq
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101128-101128
Closed Access | Times Cited: 11
Shannon entropy of performance metrics to choose the best novel hybrid algorithm to predict groundwater level (case study: Tabriz plain, Iran)
Mohsen Saroughi, Ehsan Mirzania, Mohammed Achite, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 3
Open Access | Times Cited: 9
Calibration-Augmented and Mechanism-Driven Deep Learning Hybrid Framework for Modeling Actual Distillation Processes
R. Zuo, Yue Li, Shun’an Wei, et al.
Industrial & Engineering Chemistry Research (2025)
Closed Access | Times Cited: 1
Groundwater Level Simulation Using Soft Computing Methods with Emphasis on Major Meteorological Components
Saeideh Samani, Meysam Vadiati, Farahnaz Azizi, et al.
Water Resources Management (2022) Vol. 36, Iss. 10, pp. 3627-3647
Closed Access | Times Cited: 38
Biohydrogen from food waste: Modeling and estimation by machine learning based super learner approach
Nahid Sultana, S. M. Zakir Hossain, Sumayh S. Aljameel, et al.
International Journal of Hydrogen Energy (2023) Vol. 48, Iss. 49, pp. 18586-18600
Closed Access | Times Cited: 21
Experimental evaluation, modeling and sensitivity analysis of temperature and cutting force in bone micro-milling using support vector regression and EFAST methods
Amir Hossein Rabiee, Vahid Tahmasbi, M. Qasemi
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105874-105874
Closed Access | Times Cited: 20
A multi-source data-driven model of lake water level based on variational modal decomposition and external factors with optimized bi-directional long short-term memory neural network
Ruiqin Tan, Yuan Hu, Zhaocai Wang
Environmental Modelling & Software (2023) Vol. 167, pp. 105766-105766
Closed Access | Times Cited: 20
A spatially promoted SVM model for GRACE downscaling: Using ground and satellite-based datasets
Hamed Yazdian, Narjes Salmani-Dehaghi, Mohammadali Alijanian
Journal of Hydrology (2023) Vol. 626, pp. 130214-130214
Closed Access | Times Cited: 20
Floodplain Lake Water Level Prediction with Strong River-Lake Interaction Using the Ensemble Learning LightGBM
Min Gan, Xijun Lai, Yan Guo, et al.
Water Resources Management (2024) Vol. 38, Iss. 13, pp. 5305-5321
Closed Access | Times Cited: 8
Potential of machine learning algorithms in groundwater level prediction using temporal gravity data
Himangshu Sarkar, Swastik Sunil Goriwale, Jayanta K. Ghosh, et al.
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101114-101114
Closed Access | Times Cited: 6
Functional link hybrid artificial neural network for predicting continuous biohydrogen production in dynamic membrane bioreactor
Ashutosh Kumar Pandey, Sarat Chandra Nayak, Sang‐Hyoun Kim
Bioresource Technology (2024) Vol. 397, pp. 130496-130496
Closed Access | Times Cited: 6
Landslide susceptibility assessment using novel hybridized methods based on the support vector regression
Abolfazl Jaafari
Ecological Engineering (2024) Vol. 208, pp. 107372-107372
Closed Access | Times Cited: 5
Introducing reverse Multi Influencing Factor technique in DRASTIC model for groundwater vulnerability assessment
Sandhya Ganwer, Manish Kumar Sinha, Amit Prakash Multaniya, et al.
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101106-101106
Closed Access | Times Cited: 4
Application of the improved dung beetle optimizer, muti-head attention and hybrid deep learning algorithms to groundwater depth prediction in the Ningxia area, China
Jiarui Cai, Bo Sun, Huijun Wang, et al.
Atmospheric and Oceanic Science Letters (2024), pp. 100497-100497
Open Access | Times Cited: 4
Exploring AI approaches for predicting groundwater levels in coastal agro-climatic zones: a case study in Cuttack District, Odisha
S.K. Panda, Chittaranjan Dalai, Abinash Sahoo, et al.
Discover Geoscience (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 4
Machine learning-based monitoring and design of managed aquifer rechargers for sustainable groundwater management: scope and challenges
Abdul Gaffar Sheik, Arvind Kumar, A. G. Sharanya, et al.
Environmental Science and Pollution Research (2024)
Open Access | Times Cited: 4
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