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，主持国家自然科学基金项目1项，主持省部级科研项目3项，以主要责任人参与省部级科研课题6项，参与国家重大仪器开发专项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26篇；授权国家发明专利5项，实用新型专利2项。

主持或参与省部级以上科研课题10余项：

1. 国家自然科学基金，基于LIBS的增材制造缺陷检测过程温度梯度响应规律研究，2025.01-2027.12，30万，在研，主持

2. 吉林省科技厅，3D打印构件质量在线检测装备技术研究，2024.01-2026.12，76万，在研，主持

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

9. 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

10.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30余篇：

1.    Jingjun Lin, Yao Li，Decision-level data fusion based on laser-induced breakdown and Raman spectroscopy: a study of bimodal spectroscopy for diagnosis of lung cancer at different stages. Talanta, Volume 275(2024)126194. https://doi.org/10.1016/j.talanta.2024.126194 (2024.05)（SCI一区）

2.    Jingjun Lin, Panyang Dai, Changjin Che*, Xiaomei Lin*，Research on a new multiple-screening method for laser-induced plasma spectroscopy utilizing Lorentz, Talanta, Volume 275, 2024, 126087, https://doi.org/10.1016/j.talanta.2024.126087.（2024.04）（SCI一区）

3.    Jingjun Lin, Yao Li, Xiaomei Lin *, Changjin Che. Precise and rapid diagnosis of lung cancer: Leveraging Laser-induced breakdown spectroscopy with Optimized Kernel Methods in Machine Learning. Journal of Analytical Atomic Spectrometry. (2024.06) （SCI二区）

4.    Lin, Jingjun, Yao Li, Ke Ding, Xiaomei Lin*, Changjin Che*. Investigating the Mechanistic Impact of Pork Soft Tissue Preparation Techniques on the Classification Precision of Laser-Induced Breakdown Spectroscopy. Analytical Methods. (2024.05)（SCI三区）

5.    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)，https://doi.org/10.2351/7.0001289 (SCI 四区)

6.    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） DOI: 10.1088/2058-6272/ad15e1. （SCI三区）

7.    Xiaomei LIN, Xin ZHEN, Jingjun LIN*, Yutao HUANG*, Jiangfei YANG, Panyang DAI, Yongkang REN, Ke DING. Data Fusion of Laser-Induced B,reakdown Spectroscopy (LIBS) and RAMAN Spectroscopy: Improving the Accuracy of Ginseng Classification. Analytical Letters. https://doi.org/10.1080/00032719.2024.2354904  (2024.05)(SCI四区)

8.    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)

9.    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)

10. 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)

11. 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)

12. 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)

13. 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)

14. 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）

15. 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)

16. 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)

17. 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)

18. 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 DOI：10.1039/C8JA00216A. (SCI二区)

19. Jingjun Lin，Xiaomei Lin*, Lianbo Guo，Enhancement effects of different elements by argon shield in laser-induced breakdown spectroscopy，Optik，2019, 179: 1134-1139. DOI:10.1016/J.IJLEO.2018.10.144(SCI四区)

20. LIN Xiao-mei, HUANG Yu-tao, LIN Jing-jun*, TAO Si-yu, CHE Chang-jin. Quantitative Analysis of Soil Heavy Metals Based on LSSVM[J]. Spectroscopy and Spectral Analysis, 2020,40(5): 1523-1527. Doi:10.3964/j.issn.1000-0593(2020)05-1523-05 (SCI三区)

21. LIN Xiao-mei, TAO Si-yu, LIN Jing-jun*, HUANG Yu-tao, CHE Chang-jin, SUN Hao-ran. Study on Improving the Stability of Heavy Metal Cu in Soil by Image Optimization[J]. Spectroscopy and Spectral Analysis, 2020,40(10): 3282-3286. Doi:10.3964/j.issn.1000-0593(2020)10-3282-05 (SCI三区)

22. LIN Xiao-mei, WANG Xiao-meng, HUANG Yu-tao, LIN Jing-jun*, PSO-LSSVM Improves the Accuracy of LIBS Quantitative Analysis[J]. Spectroscopy and Spectral Analysis, 2021,41(11): 3583-3587. Doi:10.3964/j.issn.1000-0593(2021)11-3583-05 (SCI三区)

23. YOU Wen, XIA Yang-peng, HUANG Yu-tao, LIN Jing-jun*, LIN Xiao-mei. Research on Selection Method of LIBS Feature Variables Based on CART Regression Tree[J]. Spectroscopy and Spectral Analysis, 2021,41(10): 3240-3244. Doi:10.3964/j.issn.1000-0593(2021)10-3240-05 (SCI三区)

24. GONG Zheng， LIN Jing-jun*, LIN Xiao-mei, HUANG Yu-tao. Effect of Heating and Cooling on the Characteristic Lines of Al During Melting[J]. Spectroscopy and Spectral Analysis, 2022,42(2): 598-602. Doi:10.3964/j.issn.1000-0593(2022)02-0598-05. (SCI三区)

授权国家发明专利5项，实用新型专利2项：

1.       林京君，杨江飞，黄玉涛，林晓梅，一种金属增材制造制件缺陷的识别方法及相关设备，20240723，国家知识产权局，专利号：ZL202210041270.1

2.       林京君，李耀，丛佳君，林晓梅，车长金，发明专利：一种增材制造零件成分含量的检测方法，20240723，国家知识产权局，专利号：ZL202410607774.4

3.       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

4.       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]. 20200925，国家知识产权局，专利号：ZL201710450096.5，

5.       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，国家知识产权局，专利号：ZL5201510427913.6，2018