[1] Jiang, Y., Wang, Y.*, 2022. Topic-aware hierarchical multi-attention network for text classification. Int. J. Mach. Learn. & Cyber. （通讯作者，中科院三区，影响因子：5.6）
[2] Liu, J. *, Wang, Y. *, Huang, X., Korsos, M., Jiang, Y., Wang, Y., Erdelyi, R. 2021. Reliability of AI-generated magnetograms from only EUV images. Nature Astronomy 5, pages 108–110. (共同一作，中科院一区，Nature子刊，影响因子：14.1)
[3] Jiang, Y., Wang, Y., Song X., Maynard D., 2020. Comparing topic-aware neural networks for bias detection of news. Proceeding of ECAI. （CCF推荐B类会议）
[4] Wang, Y., Liu, J., Jiang, Y., Erdelyi, R., 2019. CME Arrival Time Prediction Using Convolutional Neural Network. The Astrophysical Journal 881:15 (10pp).（中科院二区，影响因子：4.9）
[5] Erdélyi, R., Wang, Y.*, Guo, W., Hanna, E., Colantuono, G., 2014. Three-dimensional SOlar RAdiation Model (SORAM) and its application to 3-D urban planning. Solar Energy 101, 63-73.（通信作者，中科院二区，影响因子：6.7）
[6] Colantuono, G., Wang, Y., Hanna, E., Erdélyi, R., Buckley, A., 2014. Signature of the North Atlantic Oscillation on British solar radiation availability and PV generation: the winter zonal seesaw. Solar Energy 107, 210-219.（中科院二区，影响因子：6.7）
