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个人简介

张天龙,理学博士,副教授,硕士生导师。中国光学工程学会激光诱导击穿光谱技术专业委员会委员,全国光电测量标准化技术委员会(TC487)标准评审组成员,2017年12月入选西北大学“青年学术英才支持计划”。现主要从事化学计量学、激光诱导击穿光谱分析和环境分析等研究。主持并完成了国家自然科学基金青年项目(No.21605123)、***重大预研专项子课题合作开发项目(No.204-J-2019-1007)、陕西省自然科学基础研究计划项目(No.2018JQ2013)、陕西省教育厅专项科研计划项目(No.17KJ0780)和陕西省油气成藏地质学重点实验室开放课题(No.WSFRM20180503001)等科研项目。现主持国家自然科学基金面上项目(No.22073074)和陕西省教育厅重点科学研究计划项目(No.20JS144)各一项。作为主要参与人参与了科技部国家重大科学仪器设备开发专项子课题(No.2011YQ0301130102、2011YQ0301130505)、国家重点研发计划专题(2018YFC1800903-1)和国家自然科学基金(No.21175106、21375105和61805200)等研究项目。以第一作者或通讯作者发表SCI论文20余篇,申请中国发明专利2项(授权发明专利1项),获得计算机软件著作权登记1项。分别荣获2016年获陕西省高等学校科学技术奖二等奖(排名第三)、2018年陕西省高等学校科学技术奖一等奖(排名第二)和2019年中国仪器仪表学会科学技术一等奖(排名第十)。

研究领域

化学计量学及机器学习、激光诱导击穿光谱分析、环境分析

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Tingting Chen, Tianlong Zhang*, Hua Li*, Applications of laser-induced breakdown spectroscopy (LIBS) combined with machine learning in geochemical and environmental resources exploration[J], Trends in Analytical Chemistry, 2020, 133: 116113 Fangqi Ruan, Lin Hou, Tianlong Zhang*, Hua Li*, A novel hybrid filter/wrapper method for feature selection in archaeological ceramics classification by laser-induced breakdown spectroscopy[J], Analyst, 2020, DOI:10.1039/d0an02045a Fangqi Ruan, Lin Hou, Tianlong Zhang*, Hua Li*, A modified backward elimination approach for the rapid classification of Chinese ceramics using laser induced breakdown spectroscopy and chemometrics[J], Journal of Analytical Atomic Spectrometry, 2020, 35(3): 518-525 Xin Zhang, Nan Li, Chunhua Yan, Jiahui Zeng, Tianlong Zhang*, Hua Li*, Four-metal-element quantitative analysis and pollution source discrimination in atmospheric sedimentation by laser-induced breakdown spectroscopy (LIBS) coupled with machine learning[J], Journal of Analytical Atomic Spectrometry, 2020, 35(2): 403-413 Mingjing Zhao, Chunhua Yan, Yaozhou Feng, Jia Xue, Hongsheng Tang, Tianlong Zhang*, Hua Li*, A novel strategy for quantitative analysis of soil pH via laser-induced breakdown spectroscopy coupled with random forest[J], Plasma Science and Technology, 2020, 22(7): 074003 Chunhua Yan, Jing Liang, Mingjing Zhao, Xin Zhang, Tianlong Zhang*, Hua Li*, A novel hybrid feature selection strategy in quantitative analysis of laser-induced breakdown spectroscopy[J], Analytica Chimica Acta, 2019, 1080: 35-42 Fangqi Ruan, Tianlong Zhang*, Hua Li*, Laser-induced breakdown spectroscopy in archeological science: a review of its application and future perspectives[J], Applied Spectroscopy Reviews, 2019, 54(7): 573-601 Chunhua Yan, Tianlong Zhang*, Yaqin Sun, Hongsheng Tang, 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[J], Spectrochimica Acta Part B:Atomic Spectroscopy, 2019, 154: 75-81 Nan Li, Juan Qi, Ping Wang, Xin Zhang, Tianlong Zhang*, Hua Li*, Quantitative structure-activity relationship(QSAR) study of carcinogenicity of polycyclic aromatic hydrocarbons(PAHs) in atmospheric particulate matter by random forest(RF)[J]. Analytical Methods, 2019, 11: 1816-1821 Juan Qi, Tianlong Zhang*, Hongsheng Tang, Hua Li*, Rapid classification of archaeological ceramics via laser-induced breakdown spectroscopy coupled with random forest[J], Spectrochimica Acta Part B:Atomic Spectroscopy, 2018, 149: 288-293 Chunhua Yan, Juan Qi, Jing Liang, Tianlong Zhang*, Hua Li*, Determination of coal properties using laser induced breakdown spectroscopy combined with kernel extreme learning machine and variable selection[J], Journal of Analytical Atomic Spectrometry, 2018, 33(12): 2089-2097 Tianlong Zhang*, Ting He, Chunhua Yan, Xinyu Gao, Junxiu Ma, Hua Li*, In situ attenuated total reflection-Fourier transform infrared(ATR-FTIR) spectroscopy combined with non-negative matrix factorization for investigating the synthesis reaction mechanism of 3-amino-4-amino-oxime furazan[J], Analytical Methods, 2018, 10(48): 5817-5822 Tianlong Zhang, Hongsheng Tang, Hua Li*, Chemometrics in laser-induced breakdown spectroscopy[J], Journal of Chemometrics, 2018, 32(11): e2983 Chunhua Yan, Juan Qi, Junxiu Ma, Hongsheng Tang, Tianlong Zhang*, Hua Li*, Determination of carbon and sulfur content in coal by laser induced breakdown spectroscopy combined with kernel-based extreme learning machine[J], Chemometrics and Intelligent Laboratory Systems, 2017, 167: 226-231 Tianlong Zhang, Chunhua Yan, Juan Qi, Hongsheng Tang, Hua Li*, Classification and discrimination of coal ash by laser-induced breakdown spectroscopy(LIBS) coupled with advanced chemometric methods[J], Journal of Analytical Atomic Spectrometry, 2017, 32(10): 1960-1965 Fangqi Ruan, Juan Qi, Chunhua Yan, Hongsheng Tang, Tianlong Zhang*, Hua Li*, Quantitative detection of harmful elements in alloy steel by LIBS technique and sequential backward selection-random forest(SBS-RF)[J], Journal of Analytical Atomic Spectrometry, 2017, 32(11): 2194-2199 Tianlong Zhang, Donghui Xia, Hongsheng Tang, Xiaofeng Yang, Hua Li*, Classification of steel samples by laser-induced breakdown spectroscopy and random forest[J], Chemometrics and Intelligent Laboratory Systems, 2016, 157: 196-201 Tianlong Zhang, Shan Wu, Juan Dong, Jiao Wei, Kang Wang, Hongsheng Tang, Xiaofeng Yang, Hua Li*, Quantitative and classification analysis of slag samples by laser-induced breakdown spectroscopy(LIBS)coupled with support vector machine(SVM) and partial least square(PLS) methods[J], Journal of Analytical Atomic Spectrometry, 2015, 30(2): 368-374 Hongsheng Tang, Tianlong Zhang*, Xiaofeng Yang, Hua Li*, Classification of different types of slag samples by laser-induced breakdown spectroscopy(LIBS) coupled with random forest based on variable importance(VIRF)[J], Analytical Methods, 2015, 7(21): 9171-9176 Tianlong Zhang, Shan Wu, Hongsheng Tang, Kang Wang, Yixiang Duan, Hua Li*, Progress of chemometrics in laser-induced breakdown spectroscopy analysis[J], Chinese Journal of Analytical Chemistry, 2015, 43(6): 939-948 Tianlong Zhang, Long Liang, Kang Wang, Hongsheng Tang, Xiaofeng Yang, Yixiang Duan, Hua Li*, A novel approach for quantitative analysis of multi-elements in steels based on laser-induced breakdown spectroscopy(LIBS) and random forest regression(RFR)[J], Journal of Analytical Atomic Spectrometry, 2014, 29(12): 2323-2329

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