Quantitative analysis of Cu, Zn, and Pb elements in ores by X-ray fluorescence using a hierarchical convolutional network with attention excitation

Precise determination of heavy metal element concentrations in ores is vital for sustainable resource utilization, environmental protection, and industrial applications.

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Publication Details

Journal
Journal of Analytical Atomic Spectrometry
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ja00047e
Citations
5
Primary Topic
Advanced X-ray and CT Imaging
Type
article
Field-Weighted Citation Impact
3.37

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article

Quantitative analysis of Cu, Zn, and Pb elements in ores by X-ray fluorescence using a hierarchical convolutional network with attention excitation

Shubin Lyu, Qinglun Zhang, Ahmed A. Al-Tameemi, Wanqi Yang et al.
5 citations
Journal of Analytical Atomic Spectrometry
Advanced X-ray and CT Imaging
3.37
article

Quantitative analysis of Cu, Zn, and Pb elements in ores by X-ray fluorescence using a hierarchical convolutional network with attention excitation

Shubin Lyu, Qinglun Zhang, Ahmed A. Al-Tameemi, Wanqi Yang, Fusheng Li, Z. J. Xiao
article en
5 citations

Abstract

Precise determination of heavy metal element concentrations in ores is vital for sustainable resource utilization, environmental protection, and industrial applications.

Journal of Analytical Atomic SpectrometryVol. 40(6)
University of Electronic Science and Technology of China (CN), Huzhou Normal University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 8%
Advanced X-ray and CT Imaging
3.37
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