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:

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

Showing 7 citing articles:

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

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

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

A Surrogate Approach to Model Groundwater Level in Time and Space Based on Tree Regressors
Pedro Martínez‐Santos, Víctor Gómez‐Escalonilla, Silvia Díaz-Alcaide, et al.
(2024)
Closed Access

Machine Learning for Groundwater Storage Prediction: Leveraging Climatic Variables
Saleh Md., H. M. Rasel
Research Square (Research Square) (2024)
Open Access

Enhanced Detection of Weak Signals in Chaotic Systems Through Hybrid Neuro-Fuzzy Inference Techniques
V.S Anusuya Devi, N. Sreevani, Amandeep Nagpal, et al.
(2024), pp. 1515-1521
Closed Access

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