代表性论文
[1] 李蓉,黄鑫. 一种黑子特征自动提取的太阳耀斑模型，中国科学，48 (11), 2018
[2]李蓉,朱杰,黄鑫, 崔延美, 基于自动特征提取方法的太阳耀斑预报模型, 科学通报, 61, 3958,2016
[3] 李蓉, 朱杰, 黄鑫. 太阳耀斑预报研究进展[J]. 科学通报, 2014, 59(25):2452-2463.
[4] Rong Li, Jie Zhu. Solar Flare Forecasting based on Sequential Sunspot Data, Research in Astronomy & Astrophysics , 2013 , 13 (9) :1118-1126
[5] 李蓉，朱杰，崔延美. 结合活动区光球磁场参量和黑子参量的太阳耀斑预报模型, 科学通报 , 2013 , 58 (19) :1845-1850
[6]Li, R., Wang, H. N., et al, Solar Flare Forecasting Using Learning Vector Quantity and Unsupervised Clustering Techniques, Science China, 2011, vol 54, No.8, 1367-1554
[7]李蓉，崔延美，应用数据挖掘技术的太阳耀斑预报模型, 中国科学, 2011, V40, No.7
[8] 李蓉，崔延美，应用机器学习方法的太阳质子事件短期预报模型, 中国科学, 2010, V40, No.7
[9]Li, R., Cui, Y.M, He, H., Application of support vector machine combined with K-nearest neighbors in solar flare and solar proton events forecasting, 2008，Advances in Space Research, V42, N9
[10] Li, R., Wang, H. N., et al, Support Vector Machine Combined with K-Nearest Neighbors for Solar Flare Forecast, Chin. J. Astron. Astrophys.，2007, V7, No.3
