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Citations to this article as recorded by CrossRef and RSC Journals (7 citations).

Hybrid fuzzy-transformer-CNN network combined with fs-LA-SIBS for accurate classification of magnesium alloy components
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Atomic spectrometry update: review of advances in the analysis of metals, chemicals and functional materials
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J. Anal. At. Spectrom., 2025, 40, 2982
DOI: 10.1039/D5JA90048D

Machine Learning Prediction of Density for Binary Mg-Containing Phases
Tao Chen, Xiaoxi Mi, Shibo Zhou, Shijun Tong, Yunxuan Zhou, Yulin Zhang and Yuan Yuan
CMC, 2025, 85, 4571
DOI: 10.32604/cmc.2025.070649

Spark-assisted fs-laser induced breakdown spectroscopy for the non-invasive quantitative analysis of agate gemstones
Ali Khumaeni, Hideaki Kitahara, Kazuyoshi Kurihara and Masahiko Tani
Talanta, 2026, 298, 129007
DOI: 10.1016/j.talanta.2025.129007

Thermodynamics-constrained generative adversarial network for synergistic strength-ductility inverse design of rare-earth magnesium alloys
Pan Li, Jitao Zhou, Huihui Sun, Ying Wei and Qiqi Yang
Materials Today Communications, 2026, 52, 115076
DOI: 10.1016/j.mtcomm.2026.115076

Integrating LA–ICP–MS into environmental geosciences: Fundamentals, emerging applications, technological developments, and future outlook
Cristian Abraham Rivera Armendariz and Andre Banning
Spectrochimica Acta Part B: Atomic Spectroscopy, 2026, 242, 107559
DOI: 10.1016/j.sab.2026.107559

Prediction of mechanical properties of magnesium alloys through machine learning: a review
Packia Antony Amalan A. and Renugadevi N.
Emerging Materials Research, 2026, 1
DOI: 10.1680/jemmr.25.00146