闫春华,讲师

一、教育及工作经历

2010年–2014年，济南大学，应用化学专业，学士

2014年–2020年，西北大学，分析化学专业，博士（硕博连读）

2020年–至今，西安石油大学，js金沙老品牌，讲师

二、主要科研领域或方向

化学计量学，激光诱导击穿光谱

三、代表性成果（论文、教学成果奖、科技成果奖等）

[1] Chunhua Yan, Jing Liang, Mingjing Zhao, Xin Zhang, Tianlong Zhang* and Hua Li*. A novel hybrid feature selection strategy in quantitative analysis of laser-induced breakdown spectroscopy. Analytica Chimica Acta, 2019, 1080: 35-42.

[2] Chunhua Yan, Tianlong Zhang*, Yaqing Sun, Hongsheng Tang and Hua Li*. A hybrid variable selection method based on wavelet transform and mean impact value for calorific value determination of coal using laser-induced breakdown spectroscopy and kernel extreme learning machine. Spectrochimica Acta Part B: Atomic Spectroscopy, 2019, 154: 75-81.

[3] Chunhua Yan, Juan Qi, Jing Liang, Tianlong Zhang* and Hua Li*. Determination of coal properties using laser induced breakdown spectroscopy combined with kernel extreme learning machine and variable selection. Journal of Analytical Atomic Spectrometry, 2018, 33(12): 2089-2097.

[4] Chunhua Yan, Juan Qi, Junxiu Ma, Hongsheng Tang, Tianlong Zhang* and Hua Li*. Determination of carbon and sulfur content in coal by laser induced breakdown spectroscopy combined with kernel-based extreme learning machine. Chemometrics and Intelligent Laboratory Systems, 2017, 167: 226-231.

[5] Chunhua Yan, Zhanmei Wang, Fangqi Ruan, Junxiu Ma, Tianlong Zhang, Hongsheng Tang and Hua Li*. Classification of iron ore based on acidity and alkalinity by laser induced breakdown spectroscopy coupled with N-nearest neighbours (N3). Analytical Methods, 2016, 8(32): 6216-6221.

[7] Tianlong Zhang, Chunhua Yan, Juan Qi, Hongsheng Tang and Hua Li*. Classification and discrimination of coal ash by laser-induced breakdown spectroscopy (LIBS) coupled with advanced chemometric methods. Journal of Analytical Atomic Spectrometry, 2017, 32(10): 1960-1965.

[8] Jing Liang, Chunhua Yan, Ying Zhang, Tianlong Zhang, Xiaohui Zheng* and Hua Li*. Rapid discrimination of Salvia miltiorrhiza according to their geographical regions by laser induced breakdown spectroscopy (LIBS) and particle swarm optimization-kernel extreme learning machine (PSO-KELM). Chemometrics and Intelligent Laboratory Systems, 2020, 197: 103930.

[9] Zhanmei Wang, Chunhua Yan, Juan Dong, Tianlong Zhang, Jiao Wei and Hua Li*. Acidity analysis of iron ore based on calibration-free laser-induced breakdown spectroscopy (CF-LIBS) combined with a binary search algorithm (BSA). RSC Advances, 2016, 6(80): 76813-76823.

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