林京君，博士，讲师，硕士研究生导师。德岛大学访问学者。主要从事钢铁冶炼、土壤、肿瘤及增材制造等材料的在线检测及材料成分分析研究。近年来，主持或以主要责任人承担省部级科研课题5项，参与国家重大仪器开发专项和国家自然科学基金面上项目各1项。在国内外期刊上以第一作者或通讯作者发表研究论文30余篇，其中SCI检索20篇；授权国家发明专利3项，实用新型专利2项。
参与省部级以上科研课题8项：
1. 吉林省科技厅，激光诱导金属成分分类识别检测方法研究，2023.01-2025.12，20万，在研，主持
2.吉林省教育厅，提高LIBS信号强度和稳定性的方法研究，2021.01-2022.12，2.5万，已结题，主持
3. 吉林省科技厅，金属3D打印缺陷检测方法研究，2023.01-2025.12，15万，在研，第二负责人
4.吉林省科技发展计划重点项目，基于LIBS的土壤重金属原位检测技术研究，2020.01-2022.12，40万，已结题，第二负责人
5.吉林省科技厅中央引导地方科技发展专项，激光诱导等离子体光谱分析技术与应用，2019.01-2020.12，150万，已结题，主要参加人
6.吉林省科技厅，基于LIBS的原位水质检测技术，2018.01-2019.12，25万，已结题，第二负责人
7.吉林省发改委，土壤重金属现场快速监测技术研究，2018.01-2019.12，25万，已结题，主要参加人
8.国家重大科学仪器设备开发专项，2014YQ120351，LIPS在线监测系统研制，2014.10-2018.10，361万，已结题，参加人
以第一作者或通讯作者发表研究论文：
1.Lin, Jingjun, Panyang Dai, Changjin Che*, Xiaomei Lin, Yao Li, Jiangfei Yang, Yutao Huang, Yongkang Ren, Xin Zhen and Xingyue Yang. “Research on automotive scrap metal classification method using laser-induced breakdown spectroscopy and two-step clustering algorithm. Journal of Laser Applications, 36, 022011 2024.03(SCI 四区)
2. Xiaomei LIN, Yanjie DONG,Jingjun LIN*, Yutao HUANG*, Jiangfei YANG, Xingyu YUE, Zhuojia ZHANG, Xinyang DUAN. A research on the effect of plasma spectrum collection device on LIBS spectral intensity[J]. Plasma Science and Technology.2024.04（SCI三区）
3.Jingjun Lin, Zexin Hao, Jiangfei Yang, Changjin Che*, Xiaomei Lin*. A study of the spectral signal effect of self-holes in metal additive manufacturing components using laser-induced breakdown spectroscopy (LIBS)，Analytical Methods, 2023.12.(SCI三区)
4.Jingjun Lin, Zexin Hao, Jiangfei Yang, Changjin Che*, Xiaomei Lin*. The semi-quantitative analysis of hole defects in metal additive manufacturing components using LIBS. Journal of Analytical Atomic Spectrometry. 2024.1(SCI二区)
5.Jingjun Lin, Yao Li, Xiaomei Lin*, Changjin Che*. The mechanism of sample composition variation in the selective laser melting process based on the laser-induced breakdown spectroscopy and Raman system detection, Journal of Analytical Atomic Spectrometry. 2023.12(SCI二区)
6.Jingjun Lin, Yao Li, Xiaomei Lin*, Changjin Che*. Fusion of laser‑induced breakdown spectroscopy technology and deep learning: a new method to identify malignant and benign lung tumors with high accuracy, Analytical and Bioanalytical Chemistry,2023.12(SCI二区)
7.Jingjun Lin,Jiangfei Yang, Yutao Huang, Xiaomei Lin*,Changjin Che.Laser-induced breakdown spectroscopy and stoichiometry to identify various types of defects in metal additive manufacturing parts. Journal of Analytical Atomic Spectrometry.2023.06(SCI二区)
8.Jingjun Lin,Jiangfei Yang, Yutao Huang, Xiaomei Lin*. A study of the temperature variation effect in a steel sample for rapid analysis using LIBS. Optics and Laser Technology. Doi:10.1016/j.optlastec.2022.107707(SCI二区)
9.Jingjun Lin,Jiangfei Yang, Yutao Huang, Xiaomei Lin. The effect of solution temperature on the quantitative analysis of Laser Induced Breakdown Spectroscopy，APPLIED PHYSICS B-LASERS AND OPTICS，2022.07，（SCI三区）
10.Jingjun Lin, Jiangfei Yang, Yutao Huang, Xiaomei Lin*.Defect identification of metal additive manufacturing parts based on laser- induced breakdown spectroscopy and machine learning. APPLIED PHYSICS B-LASERS AND OPTICS, DOI: 10.1007/s00340-021-07725-3.2021(SCI三区)
11.Yutao Huang ,Jingjun Lin*, Xiaomei Lin, Weinan Zheng. Quantitative analysis of Cr in soil based on variable selection coupled with multivariate regression using laser-induced breakdown spectroscopy. JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY. DOI: 10.1039/D1JA00257K. 2021(SCI二区)
12.Lin Xiaomei,Huang Yutao,Lin Jingjun*,Gao Xun. The effect of self-absorption compensation methods on the quantitative analysis of soil samples using Laser-induced breakdown spectroscopy. Optik, 2021,243, DOI:10.1016/J.IJLEO.2021.167301.(SCI四区)
13.Jingjun Lin，Xiaomei Lin*，Lianbo Guo，Identification accuracy improvement for steelspecies using a least squares support vector machine and laser-induced breakdown spectroscopy. JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY，2018，33(9).1545–1551.(SCI二区)
14.Jingjun Lin，Xiaomei Lin*, Lianbo Guo，Enhancement effects of different elements by argon shield in laser-induced breakdown spectroscopy，Optik，2019, 179: 1134-1139.(SCI四区)
15.林晓梅，黄玉涛，林京君*.基于LSSVM的土壤重金属定量分析，光谱学与光谱分析，2020, 40 (5): 1523-1527.(中文SCI)
16.林晓梅，陶思宇，林京君*.图像寻优对土壤中重金属Cu元素稳定性的提高方法研究，光谱学与光谱分析，2020.40(10): 3282-3286. (中文SCI)
17.林晓梅，王晓檬，黄玉涛，林京君*. PSO-LSSVM对LIBS定量分析精度的提高.光谱学与光谱分析，2020已录用.(中文SCI)
18.尤文，夏阳鹏，黄玉涛，林京君*，林晓梅*.基于CART回归树的LIBS特征变量选择方法研究,光谱学与光谱分析,2020已录用.(中文SCI)
19.林晓梅，公正，林京君*.熔融过程中升温和降温对Al特征谱线的影响.光谱学与光谱分析，2020已录用.(中文SCI)
授权国家发明专利2项，实用新型专利2项：
1. 车长金，林晓梅，曲永印，林京君，孙浩然，发明专利：一种金属材料制造过程的LIBS在线监测装置及方法，国家知识产权局，专利号：ZL202010340589.5，2021
2. 林晓梅，林京君，常鹏辉，车长金. 发明专利：一种针对合金样品表面蒸汽对LIPS测量改进的方法 [P]. 国家知识产权局，专利号：ZL201710450096.5，2020
3. 林晓梅，常鹏辉，林京君，发明专利：一种通过选择合适样品温度点来提高LIBS测量精度的方法，专利号：ZL5201510427913.6，2018
