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:

A comparison of multiple methods for mapping groundwater levels in the Mu Us Sandy Land, China
Pinzeng Rao, Yicheng Wang, Yang Liu, et al.
Journal of Hydrology Regional Studies (2022) Vol. 43, pp. 101189-101189
Closed Access | Times Cited: 12

Showing 12 citing articles:

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

Automated Mapping of Wetland Ecosystems: A Study Using Google Earth Engine and Machine Learning for Lotus Mapping in Central Vietnam
Pham Huu Ty, Nguyen Hao Quang, Khac-Phuc Le, et al.
Water (2023) Vol. 15, Iss. 5, pp. 854-854
Open Access | Times Cited: 15

Enhancing the accuracy of groundwater level prediction at different scales using spatio-temporal graph convolutional model
Long Chen, Dezheng Zhang, Jianwei Xu, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access

Relevance of Machine Learning Techniques in Water Infrastructure Integrity and Quality: A Review Powered by Natural Language Processing
José García, Andrés Leiva-Araos, Emerson Diaz-Saavedra, et al.
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12497-12497
Open Access | Times Cited: 8

Groundwater potential mapping in arid and semi-arid regions of Kurdistan region of Iraq: A geoinformatics-based machine learning approach
Kaiwan K. Fatah, Yaseen T. Mustafa, Imaddadin O. Hassan
Groundwater for Sustainable Development (2024), pp. 101337-101337
Closed Access | Times Cited: 2

Analysis and prediction of the changes in groundwater resources under heavy precipitation and ecological water replenishment
Bowen Shi, Chao Wan, Weiwu Hu, et al.
Journal of Water and Climate Change (2023) Vol. 14, Iss. 6, pp. 1762-1778
Open Access | Times Cited: 5

Optimal Interpolation Approach for Groundwater Depth Estimation
Kalid Hassen Yasin, Tadele Bedo Gelete, Anteneh Derribew Iguala, et al.
MethodsX (2024) Vol. 13, pp. 102916-102916
Open Access | Times Cited: 1

Application of Hydro-Based Morphological Models for Environmental Assessment of Watersheds
Silvio Luís Rafaeli Neto, Vanessa Jutel dos Santos, Emili Louise Diconcili Schutz, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 8, pp. 314-314
Open Access | Times Cited: 2

A Comparison of AI Methods for Groundwater Level Prediction in Burkina Faso
Abdoul Aziz Bonkoungou, Souleymane Zio, Rodrique Kafando, et al.
IFIP advances in information and communication technology (2024), pp. 3-16
Closed Access

A Systematic Review of Machine Learning Algorithms in Groundwater Level Simulations and Forecasting
Jesse Gilbert, Cyril D. Boateng, Jeffrey N. A. Aryee, et al.
EarthArXiv (California Digital Library) (2023)
Open Access | Times Cited: 1

Response of Liquid Water and Vapor Flow to Rainfall Events in Sandy Soil of Arid and Semi-Arid Regions
Ting Lu, Ce Zheng, Baoxue Zhou, et al.
Agronomy (2023) Vol. 13, Iss. 9, pp. 2424-2424
Open Access | Times Cited: 1

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