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:

An autoregressive machine learning approach to forecast high-resolution groundwater-level anomalies in the Ramotswa/North West/Gauteng dolomite aquifers of Southern Africa
Zaheed Gaffoor, Ashley Gritzman, Kevin Pietersen, et al.
Hydrogeology Journal (2022) Vol. 30, Iss. 2, pp. 575-600
Closed Access | Times Cited: 16

Showing 16 citing articles:

Mathematical and Machine Learning Models for Groundwater Level Changes: A Systematic Review and Bibliographic Analysis
Stephen Afrifa, Tao Zhang, Peter Appiahene, et al.
Future Internet (2022) Vol. 14, Iss. 9, pp. 259-259
Open Access | Times Cited: 49

An efficient wastewater collection model for groundwater resource protection in smart cities
Balamurugan Janakiraman, Narayanan Kasthuri, Sudarsan J.S., et al.
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101091-101091
Closed Access | Times Cited: 8

A novel hybrid random forest linear model approach for forecasting groundwater fluoride contamination
Mouigni Baraka Nafouanti, Junxia Li, Edwin E. Nyakilla, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 17, pp. 50661-50674
Closed Access | Times Cited: 19

Impact of Climate Change on Groundwater Level Changes: An Evaluation Based on Deep Neural Networks
Stephen Afrifa, Tao Zhang, Peter Appiahene, et al.
Applied Computational Intelligence and Soft Computing (2025) Vol. 2025, Iss. 1
Open Access

A Comparison of Ensemble and Deep Learning Algorithms to Model Groundwater Levels in a Data-Scarce Aquifer of Southern Africa
Zaheed Gaffoor, Kevin Pietersen, Nebo Jovanovic, et al.
Hydrology (2022) Vol. 9, Iss. 7, pp. 125-125
Open Access | Times Cited: 18

Climate change impact assessment on groundwater level changes: A study of hybrid model techniques
Stephen Afrifa, Tao Zhang, Xin Zhao, et al.
IET Signal Processing (2023) Vol. 17, Iss. 6
Open Access | Times Cited: 9

Machine learning based groundwater prediction in a data-scarce basin of Ghana
Ebenezer K. Siabi, Yihun T. Dile, Amos T. Kabo-Bah, et al.
Applied Artificial Intelligence (2022) Vol. 36, Iss. 1
Open Access | Times Cited: 11

A dynamical downscaling method of groundwater storage changes using GRACE data
Jianchong Sun, Litang Hu, Xiaoyuan Cao, et al.
Journal of Hydrology Regional Studies (2023) Vol. 50, pp. 101558-101558
Open Access | Times Cited: 6

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: 1

Groundwater Level Trend Analysis and Prediction in the Upper Crocodile Sub-Basin, South Africa
Tsholofelo Mmankwane Tladi, Julius Musyoka Ndambuki, Thomas O. Olwal, et al.
Water (2023) Vol. 15, Iss. 17, pp. 3025-3025
Open Access | Times Cited: 3

Downscaling and validating GLDAS groundwater storage anomalies by integrating precipitation for recharge and actual evapotranspiration for discharge
Cindy Viviers, Michael van der Laan, Zaheed Gaffoor, et al.
Journal of Hydrology Regional Studies (2024) Vol. 54, pp. 101879-101879
Open Access

A Systematic Review of Neural Network Applications for Groundwater Level Prediction
Samuel Afful, Cyril D. Boateng, Emmanuel Ahene, et al.
EarthArXiv (California Digital Library) (2024)
Open Access

Deep learning models for multi-step prediction of water levels incorporating meteorological variables and historical data
Lingxuan Chen, Zhaocai Wang, Ziang Jiang, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access

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