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 quality parameters prediction based on data-driven models
Mohammed Falah Allawi, Yasir Al-Ani, Arkan Dhari Jalal, et al.
Engineering Applications of Computational Fluid Mechanics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 7

Showing 7 citing articles:

Artificial Intelligence in Hydrology: Advancements in Soil, Water Resource Management, and Sustainable Development
Seyed Mostafa Biazar, Golmar Golmohammadi, Rohit R. Nedhunuri, et al.
Sustainability (2025) Vol. 17, Iss. 5, pp. 2250-2250
Open Access

GIS-Based Multi-Criteria Decision Analysis Model for Utility Water Demand: The Case of Lodwar Municipality, Turkana County, Kenya.
Bonface Wanguba, David Siriba, Benson O Okumu
Heliyon (2024) Vol. 10, Iss. 17, pp. e36518-e36518
Open Access | Times Cited: 1

Assessing the physicochemical properties of surface/groundwater of Sudhnoti district, Azad Jammu and Kashmir: Impacts on lindane degradation by photocatalysis
Taj Ur Rahman, L. Saba, Ashraf Ali, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024) Vol. 135, pp. 103677-103677
Closed Access

Ground Water Quality Evaluation for Irrigation Purpose: Case Study Al-Wafaa Area, Western Iraq
Mohammed Freeh Sahab, Mohammed Hatem Abdullah, Ghassan Abbas Hammadi, et al.
International Journal of Design & Nature and Ecodynamics (2024) Vol. 19, Iss. 4, pp. 1415-1424
Open Access

Machine learning modeling based on informer for predicting complex unsteady flow fields to reduce consumption of computational fluid dynamics simulation
Mingkun Fang, Fangfang Zhang, Di Zhu, et al.
Engineering Applications of Computational Fluid Mechanics (2024) Vol. 19, Iss. 1
Open Access

A novel predictive analysis approach for forecasting and classifying surface water data using AWQI standards and machine learning-based rule induction
Kaleeswari Chinnakkaruppan, Kuppusamy Krishnamoorthy, Senthilrajan Agniraj
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access

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