| Predicting solar flares with machine learning: Investigating solar cycle dependence X Wang, Y Chen, G Toth, WB Manchester, TI Gombosi, AO Hero, Z Jiao, ... The Astrophysical Journal 895 (1), 3, 2020 | 63 | 2020 |
| Solar flare intensity prediction with machine learning models Z Jiao, H Sun, X Wang, W Manchester, T Gombosi, A Hero, Y Chen Space weather 18 (7), e2020SW002440, 2020 | 38 | 2020 |
| Interpreting LSTM prediction on solar flare eruption with time-series clustering H Sun, W Manchester, Z Jiao, X Wang, Y Chen arXiv preprint arXiv:1912.12360, 2019 | 5 | 2019 |
| Ultrasensitive detection of Shiga toxin 2 and its variants in Shiga toxin‐producing Escherichia coli strains by a time‐resolved fluorescence immunoassay T Wen, C Huang, Y Zhang, X Zeng, W Liu, Z Jiao, X Guo, Y Jiao Luminescence 33 (3), 574-581, 2018 | 3 | 2018 |
| Enhancing Educational Outcome with Machine Learning: Modeling Friendship Formation, Measuring Peer Effect and Optimizing Class Assignment LB Wang, OP Bedant, H Wang, Z Jiao, J Yin arXiv preprint arXiv:2404.02497, 2024 | | 2024 |
| Interpretation of LSTM Prediction on Solar Flare Eruption H Sun, W Manchester, Z Jiao, X Wang, Y Chen AGU Fall Meeting Abstracts 2020, NG004-0026, 2020 | | 2020 |
| Predicting Solar Flares using Time Sequence Based Machine Learning Models X Wang, G Toth, Y Chen, W Manchester, Z Jiao, H Sun, Z Sun, AO Hero, ... AGU Fall Meeting Abstracts 2019, SH34A-03, 2019 | | 2019 |
