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:

Application of Machine Learning in a Mineral Leaching Process─Taking Pyrolusite Leaching as an Example
Zheng Zhang, Xianming Zhang, Dan Zhang, et al.
ACS Omega (2022) Vol. 7, Iss. 51, pp. 48130-48138
Open Access | Times Cited: 5

Showing 5 citing articles:

A review of the use of AI in the mining industry: Insights and ethical considerations for multi-objective optimization
Caitlin C. Corrigan, Svetlana Ikonnikova
The Extractive Industries and Society (2024) Vol. 17, pp. 101440-101440
Open Access | Times Cited: 11

Proportional impact prediction model of coating material on nitrate leaching of slow-release Urea Super Granules (USG) using machine learning and RSM technique
Sidhartha Sekhar Swain, Tapan Kumar Khura, P. Sahoo, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4

Advancing Resource Recovery from Sewage Sludge with IoT-Based Bioleaching and Anaerobic Digestion Techniques
Abdulmoseen Segun Giwa, Ndungutse Jean Maurice, Zelong Wang, et al.
Journal of environmental chemical engineering (2025), pp. 116293-116293
Closed Access

Applicability of machine learning models for the assessment of long-term pollutant leaching from solid waste materials
Amirhossein Ershadi, Michael Finkel, Bernd Susset, et al.
Waste Management (2023) Vol. 171, pp. 337-349
Closed Access | Times Cited: 7

Optimizing Bioleaching for Printed Circuit Board Copper Recovery: An AI-Driven RGB-Based Approach
Jordi Vives-Pons, A. Comerma-Montells, Teresa Escobet, et al.
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 129-129
Open Access

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