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 assessment using machine learning models: a comprehensive study on the industrial corridor of a semi-arid region
Loganathan Krishnamoorthy, V. Lakshmanan
Environmental Science and Pollution Research (2024)
Closed Access | Times Cited: 4
Loganathan Krishnamoorthy, V. Lakshmanan
Environmental Science and Pollution Research (2024)
Closed Access | Times Cited: 4
Showing 4 citing articles:
A comparative hydrochemical assessment of groundwater quality for drinking and irrigation purposes using different statistical and ML models in lower gangetic alluvial plain, eastern India
Sribas Kanji, Subhasish Das, Chandi Rajak
Chemosphere (2025) Vol. 372, pp. 144074-144074
Closed Access | Times Cited: 1
Sribas Kanji, Subhasish Das, Chandi Rajak
Chemosphere (2025) Vol. 372, pp. 144074-144074
Closed Access | Times Cited: 1
Revealing the effects of environmental and spatio-temporal variables on changes in Japanese sardine (Sardinops melanostictus) high abundance fishing grounds based on interpretable machine learning approach
Yongchuang Shi, Lei Yan, Shengmao Zhang, et al.
Frontiers in Marine Science (2025) Vol. 11
Open Access
Yongchuang Shi, Lei Yan, Shengmao Zhang, et al.
Frontiers in Marine Science (2025) Vol. 11
Open Access
Risk assessment of potentially toxic elements and mapping of groundwater pollution indices using soft computer models in an agricultural area, Northeast Algeria
Azzeddine Reghais, Abdelmalek Drouiche, Faouzi Zahi, et al.
Journal of Hazardous Materials (2025), pp. 137991-137991
Closed Access
Azzeddine Reghais, Abdelmalek Drouiche, Faouzi Zahi, et al.
Journal of Hazardous Materials (2025), pp. 137991-137991
Closed Access
Predicting removal of arsenic from groundwater by iron based filters using deep neural network models
Muhammad Martuza, Md. Shafiquzzaman, Husnain Haider, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Muhammad Martuza, Md. Shafiquzzaman, Husnain Haider, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
