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:

Inverse groundwater salinization modeling in a sandstone’s aquifer using stand-alone models with an improved non-linear ensemble machine learning technique
Sani I. Abba, Mohammed Benaafi, A. G. Usman, et al.
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 34, Iss. 10, pp. 8162-8175
Open Access | Times Cited: 17

Showing 17 citing articles:

Fluoride and nitrate enrichment in coastal aquifers of the Eastern Province, Saudi Arabia: The influencing factors, toxicity, and human health risks
Sani I. Abba, Johnbosco C. Egbueri, Mohammed Benaafi, et al.
Chemosphere (2023) Vol. 336, pp. 139083-139083
Closed Access | Times Cited: 36

An empirical assessment of ensemble methods and traditional machine learning techniques for web-based attack detection in industry 5.0
Oumaima Chakir, Abdeslam Rehaimi, Yassine Sadqi, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 3, pp. 103-119
Open Access | Times Cited: 27

Machine learning predictive insight of water pollution and groundwater quality in the Eastern Province of Saudi Arabia
Abdulhayat M. Jibrin, Mohammad Al-Suwaiyan, Ali Aldrees, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9

Intelligent learning algorithms integrated with feature engineering for sustainable groundwater salinization modelling: Eastern Province of Saudi Arabia
Mohamed A. Yassin, A. G. Usman, Sani I. Abba, et al.
Results in Engineering (2023) Vol. 20, pp. 101434-101434
Open Access | Times Cited: 19

Predictive Modeling of soil salinity integrating remote sensing and soil variables: An ensembled deep learning approach
Sana Arshad, Syed Jamil Hasan Kazmi, Endre Harsányi, et al.
Energy Nexus (2025), pp. 100374-100374
Open Access

Soft computing approaches for predicting boron contamination in arid sandstone groundwater
Mohammed Benaafi, Mojeed O. Oyedeji, Nezar M. Alyazidi
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access

Hydro-environmental predictive management of sub-surface salinization in arid nearshore-coastal saline aquifer using deep learning and SHAP analysis
Fahad Jibrin Abdu, Shaibu Isah, Jamilu Usman, et al.
Research Square (Research Square) (2025)
Closed Access

Artificial intelligent-powered detection of breast cancer
Mohammed Y. Lawal, May Almousa, Abdullahi Umar Ibrahim, et al.
Journal of Radiation Research and Applied Sciences (2025) Vol. 18, Iss. 2, pp. 101422-101422
Closed Access

Second-order based ensemble machine learning technique for modelling river water biological oxygen demand (BOD): Insights into improved learning
A. G. Usman, May Almousa, Hanita Daud, et al.
Journal of Radiation Research and Applied Sciences (2025) Vol. 18, Iss. 2, pp. 101439-101439
Closed Access

A comparative study of statistical models for forecasting Covid-19 cases in Greece
Nuriye Sancar, Michael Ogbonna O. Okonkwo, Efe Precious Onakpojeruo, et al.
AIP conference proceedings (2024) Vol. 3085, pp. 020029-020029
Open Access | Times Cited: 2

Evidential Neural Network Model for Groundwater Salinization Simulation: A First Application in Hydro-Environmental Engineering
A. G. Usman, Sagiru Mati, Mahmud M. Jibril, et al.
Water (2024) Vol. 16, Iss. 20, pp. 2873-2873
Open Access | Times Cited: 2

Groundwater modelling and GIS-based vulnerability mapping coupled with evolutionary metaheuristic optimization in the eastern coast of Saudi Arabia
Sani I. Abba, Mohammed Benaafi, A. G. Usman, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 2

Machine learning models for predicting residual malaria infections using environmental factors: A case study of the Jazan region, Kingdom of Saudi Arabia
Idris Zubairu Sadiq, Yakubu Saddeeq Abubakar, Abdulkadir Rabiu Salisu, et al.
Decoding Infection and Transmission (2024) Vol. 2, pp. 100022-100022
Open Access

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