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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.

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Showing 10 citing articles:

Optimizing arsenic removal from groundwater using continuous flow electrocoagulation with iron and aluminum electrodes: An experimental and modeling approach
Kristiana Zrnić Tenodi, Slaven Tenodi, Jasmina Nikić, et al.
Journal of Water Process Engineering (2024) Vol. 66, pp. 106082-106082
Closed Access | Times Cited: 4
A Transparent and Valid Framework for Rockburst Assessment: Unifying Interpretable Machine Learning and Conformal Prediction
Bemah Ibrahim, Abigail Tetteh-Asare, Isaac Ahenkorah
Rock Mechanics and Rock Engineering (2024) Vol. 57, Iss. 8, pp. 6211-6225
Closed Access | Times Cited: 3
Interpretable machine learning guided by physical mechanisms reveals drivers of runoff under dynamic land use changes
Shu‐Li Wang, Yitian Liu, Wei Wang, et al.
Journal of Environmental Management (2024) Vol. 367, pp. 121978-121978
Closed Access | Times Cited: 3
Groundwater quality prediction and risk assessment in Kerala, India: A machine-learning approach
C. D. Aju, A.L. Achu, Maharoof P Mohammed, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122616-122616
Closed Access | Times Cited: 3
Single and Hybrid-Ensemble Learning-Based Phishing Website Detection: Examining Impacts of Varied Nature Datasets and Informative Feature Selection Technique
Kibreab Adane, Berhanu Beyene, Mohammed Abebe
Digital Threats Research and Practice (2023) Vol. 4, Iss. 3, pp. 1-27
Open Access | Times Cited: 6
Optimisation led energy-efficient arsenite and arsenate adsorption on various materials with machine learning
Jinsheng Huang, Waqar Muhammad Ashraf, Talha Ansar, et al.
Water Research (2024) Vol. 271, pp. 122815-122815
Closed Access | Times Cited: 1
A new implementation of stacked generalisation approach for modelling arsenic concentration in multiple water sources
Bemah Ibrahim, Anthony Ewusi, Yao Yevenyo Ziggah, et al.
International Journal of Environmental Science and Technology (2023) Vol. 21, Iss. 5, pp. 5035-5052
Closed Access | Times Cited: 4
Optimizing Arsenic Removal from Groundwater Using Continuous Flow Electrocoagulation with Iron and Aluminum Electrodes: An Experimental and Modeling Approach
Kristiana Zrnić Tenodi, Slaven Tenodi, Jasmina Nikić, et al.
(2024)
Closed Access
Harnessing Explainable AI for Sustainable Agriculture: SHAP-Based Feature Selection in Multi-Model Evaluation of Irrigation Water Quality Indices
Enas E. Hussein, Bilel Zerouali, Nadjem Bailek, et al.
Water (2024) Vol. 17, Iss. 1, pp. 59-59
Open Access
Classifying arsenic-contaminated waters in Tarkwa: a machine learning approach
Mohammed Ayisha, Matthew Nkoom, Dzigbodi Adzo Doke
Sustainable Water Resources Management (2024) Vol. 10, Iss. 2
Closed Access
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