Chenglin Yan

Simultaneous Determination of Trace Fluorine and Chlorine in Iron Ore by Combustion-Ion Chromatography (C-IC)

Tongda Li, Linping Zhang, Hong Min, 2021 .

Classification and identification of brands of iron ores using laser-induced breakdown spectroscopy combined with principal component analysis and artificial neural networks

Minli Yang, Hong Min, Chen Li, 2020 .

Interpretable deep learning-assisted laser-induced breakdown spectroscopy for brand classification of iron ores.

Hong Min, Chen Li, Chenglin Yan, 2021, Analytica chimica acta.

Identification of iron ore brands by multi-component analysis and chemometric tools

Hong Min, Chen Li, Chenglin Yan, 2021, Analytical and Bioanalytical Chemistry.

Accuracy improvement on quantitative analysis of the total iron content in branded iron ores by laser-induced breakdown spectroscopy combined with the double back propagation artificial neural network.

Hong Min, Chen Li, Chenglin Yan, 2022, Analytical Methods.

A Versatile Method for Quantitative Analysis of Total Iron Content in Iron Ore Using Laser-Induced Breakdown Spectroscopy

Chen Li, Chenglin Yan, Shu Liu, 2022, Applied spectroscopy.

Spatial-temporal characteristics and influencing factors of food production efficiency based on WEF nexus in China

Defeng Zheng, R. Wu, Chenglin Yan, 2021, Journal of Cleaner Production.

Multi-perspective interpretation for one-dimensional conventional neural network model to identify iron-bearing waste material

Hong Min, Chen Li, Chenglin Yan, 2024, Journal of Environmental Chemical Engineering.