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:

Machine learning-based performance evaluation and sludge characterization studies of oxidized starch-aluminum electrode assisted by direct current treatment of dye laden wastewater
Patrick Chukwudi Nnaji, Cyril Sunday Ume, R.U. Obasi, et al.
Results in Engineering (2023) Vol. 20, pp. 101576-101576
Open Access | Times Cited: 7

Showing 7 citing articles:

Evaluating the biocatalytic potential of fruit peel-derived eco-enzymes for sustainable textile wastewater treatment
Shohag Chandra Das, Olin Khan, Ashfaqul Hoque Khadem, et al.
Results in Engineering (2024) Vol. 21, pp. 101898-101898
Open Access | Times Cited: 6

1-Hexadecyl-3-methylimidazolium tetrachloroindate ionic liquid as corrosion inhibitor for mild steel: Insight from experimental, computational, multivariate statistics and multi-quadratic regression based machine learning model
Ndidiamaka Martina Amadi, Joseph Okechukwu Ezeugo, Chukwunonso Chukwuzuluoke Okoye, et al.
Results in Engineering (2024) Vol. 24, pp. 103115-103115
Open Access | Times Cited: 6

COD, Color, and Turbidity Reduction From Surface Water Using Natural Coagulants: Investigation and Optimization
Abdi Kemal Husen, Firomsa Bidira, Wendesen Mekonin Desta, et al.
Deleted Journal (2024) Vol. 1, Iss. 2-3, pp. 100007-100007
Closed Access | Times Cited: 3

Anaerobic Digestion of Dye Wastewater and Agricultural Waste with Bio-Energy and Biochar Recovery: A Techno-Economic and Sustainable Approach
Albert Tumanyisibwe, Mahmoud Nasr, Manabu Fujii, et al.
Water (2024) Vol. 16, Iss. 14, pp. 2025-2025
Open Access | Times Cited: 3

Modeling and optimization of biomethanation of rice straw with biochar supplementation using response surface methodology and machine learning
Sachin Krushna Bhujbal, Pooja Ghosh, Virendra Kumar Vijay
Sustainable Energy Technologies and Assessments (2024) Vol. 71, pp. 104006-104006
Closed Access | Times Cited: 2

Blended Natural and Synthetic Coagulants for the COD and BOD Removal from Surface Water; Optimization by Response Surface Methodology: The Case of Gibe River
Yared Endale, Zerihun Asmelash Samuel, Seifu Kebede, et al.
Heliyon (2024) Vol. 10, Iss. 18, pp. e37961-e37961
Open Access | Times Cited: 1

Evaluation of enhanced chemical coagulation method for a case study on colloidal liquid particle in wastewater treatment: Statistical optimization analysis and implementation of machine learning
Behnam Fayyaz Shahandashty, Narges Fallah, Mohammad Shamsi, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122345-122345
Closed Access

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