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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:

Past, Present and Perspective Methodology for Groundwater Modeling-Based Machine Learning Approaches
Ahmedbahaaaldin Ibrahem Ahmed Osman, Ali Najah Ahmed, Yuk Feng Huang, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 6, pp. 3843-3859
Closed Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Groundwater Level Modeling with Machine Learning: A Systematic Review and Meta-Analysis
Arman Ahmadi, Mohammad Ali Olyaei, Zahra Heydari, et al.
Water (2022) Vol. 14, Iss. 6, pp. 949-949
Open Access | Times Cited: 85
A Comprehensive Review of Conventional, Machine Leaning, and Deep Learning Models for Groundwater Level (GWL) Forecasting
Junaid Khan, Eunkyu Lee, Awatef Salem Balobaid, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2743-2743
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: 26
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: 48
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: 27
A New Benchmark on Machine Learning Methodologies for Hydrological Processes Modelling: A Comprehensive Review for Limitations and Future Research Directions
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Knowledge-Based Engineering and Sciences (2023) Vol. 4, Iss. 3, pp. 65-103
Open Access | Times Cited: 22
Prediction of arsenic and fluoride in groundwater of the North China Plain using enhanced stacking ensemble learning
Wengeng Cao, Zhuo Zhang, Yu Fu, et al.
Water Research (2024) Vol. 259, pp. 121848-121848
Closed Access | Times Cited: 13
Modeling spatial groundwater level patterns of Bangladesh using physio-climatic variables and machine learning algorithms
Abul Kashem Faruki Fahim, A. S. M. Maksud Kamal, Shamsuddin Shahid
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101142-101142
Closed Access | Times Cited: 10
Harnessing Machine Learning for Assessing Climate Change Influences on Groundwater Resources: A Comprehensive Review
Apoorva Bamal, Md Galal Uddin, Agnieszka I. Olbert
Heliyon (2024) Vol. 10, Iss. 17, pp. e37073-e37073
Open Access | Times Cited: 6
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: 26
Mechanical behaviour of E-waste aggregate concrete using a novel machine learning algorithm: Multi expression programming (MEP)
Sultan Shah, Moustafa Houda, Sangeen Khan, et al.
Journal of Materials Research and Technology (2023) Vol. 25, pp. 5720-5740
Open Access | Times Cited: 15
A systematic review and meta-analysis of groundwater level forecasting with machine learning techniques: Current status and future directions
José Luis Uc Castillo, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, et al.
Environmental Modelling & Software (2023) Vol. 168, pp. 105788-105788
Closed Access | Times Cited: 15
Groundwater resources in Qatar: A comprehensive review and informative recommendations for research, governance, and management in support of sustainability
Sarra Aloui, Adel Zghibi, Annamaria Mazzoni, et al.
Journal of Hydrology Regional Studies (2023) Vol. 50, pp. 101564-101564
Open Access | Times Cited: 14
A critical review on groundwater level depletion monitoring based on GIS and data-driven models: Global perspectives and future challenges
Md. Moniruzzaman Monir, Subaran Chandra Sarker, Abu Reza Md. Towfiqul Islam
HydroResearch (2024) Vol. 7, pp. 285-300
Open Access | Times Cited: 5
Correlation–based Reliability Index Equipped with Machine Learning Methods to Complete the Groundwater Level Gaps
Seyed Hossein Hosseini, Ramtin Moeini
Results in Engineering (2025), pp. 104146-104146
Open Access
Machine Learning Techniques in Hydrogeological Research
Song He, Xiaoping Zhou, Yuan Liu, et al.
Springer hydrogeology (2025), pp. 137-164
Closed Access
Forecasting groundwater table for the sustenance and conservation of water-dependent ecosystems in protected areas: the case of the Wielkopolski National Park in Poland
Renata Graf, Lech Kaczmarek, Mariusz Pełechaty, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
Watershed groundwater level multistep ahead forecasts by fusing convolutional-based autoencoder and LSTM models
Pu-Yun Kow, Jia-Yi Liou, Wei Sun, et al.
Journal of Environmental Management (2023) Vol. 351, pp. 119789-119789
Closed Access | Times Cited: 10
A solar radiation intelligent forecasting framework based on feature selection and multivariable fuzzy time series
Yuyang Gao, Ping Li, Hufang Yang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106986-106986
Closed Access | Times Cited: 9
Evaluating groundwater storage variations in Afghanistan using GRACE, GLDAS, and in-situ measurements
Hussain Ali Jawadi, Asadullah Farahmand, R. J. Fensham, et al.
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 4, pp. 5669-5685
Closed Access | Times Cited: 3
Multivariate wind power curve modeling using multivariate adaptive regression splines and regression trees
Khurram Mushtaq, Runmin Zou, Asim Waris, et al.
PLoS ONE (2023) Vol. 18, Iss. 8, pp. e0290316-e0290316
Open Access | Times Cited: 7
Water Table Depth Estimates over the Contiguous United States Using a Random Forest Model
Yueling Ma, Elena Leonarduzzi, Amy Defnet, et al.
Ground Water (2023) Vol. 62, Iss. 1, pp. 34-43
Open Access | Times Cited: 7
Groundwater level forecasting using ensemble coactive neuro-fuzzy inference system
Kenneth Beng Wee Boo, Ahmed El‐Shafie, Faridah Othman, et al.
The Science of The Total Environment (2023) Vol. 912, pp. 168760-168760
Closed Access | Times Cited: 7
Adaptation of Federated Explainable Artificial Intelligence for Efficient and Secure E-Healthcare Systems
Rabia Abid, Muhammad Rizwan, Abdulatif Alabdulatif, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 78, Iss. 3, pp. 3413-3429
Open Access | Times Cited: 2
A groundwater level spatiotemporal prediction model based on graph convolutional networks with a long short-term memory
Lifang Wang, Zhengwen Jiang, Lei Song, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 11, pp. 2962-2979
Closed Access | Times Cited: 2
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