| Image subtraction in Fourier space L Hu, L Wang, X Chen, J Yang The Astrophysical Journal 936 (2), 157, 2022 | 21 | 2022 |
| Spectroscopic studies of type Ia supernovae using LSTM neural networks L Hu, X Chen, L Wang The Astrophysical Journal 930 (1), 70, 2022 | 16 | 2022 |
| Constraints on Cosmological Parameters with a Sample of Type Ia Supernovae from JWST J Lu, L Wang, X Chen, D Rubin, S Perlmutter, D Baade, J Mould, J Vinko, ... The Astrophysical Journal 941 (1), 71, 2022 | 10 | 2022 |
| Constraining Type Ia Supernova Delay Time with Spatially Resolved Star Formation Histories X Chen, L Hu, L Wang The Astrophysical Journal 922 (1), 15, 2021 | 10 | 2021 |
| Artificial Intelligence–Assisted Inversion (AIAI) of Synthetic Type Ia Supernova Spectra X Chen, L Hu, L Wang The Astrophysical Journal Supplement Series 250 (1), 12, 2020 | 5 | 2020 |
| A New Method to Classify Type IIP/IIL Supernovae Based on Their Spectra S Kou, X Chen, X Liu The Astrophysical Journal 890 (2), 177, 2020 | 5 | 2020 |
| Using physics informed neural networks for supernova radiative transfer simulation X Chen, DJ Jeffery, M Zhong, L McClenny, U Braga-Neto, L Wang arXiv preprint arXiv:2211.05219, 2022 | 3 | 2022 |
| Synthesis and growth mechanism of Mn-doped nanodot embedded silica nanowires X Chen, D Zhang, X Zhang, Y Liu, X Li, G Xiang Physica B: Condensed Matter 571, 10-17, 2019 | 3 | 2019 |
| Artificial Intelligence Assisted Inversion (AIAI): Quantifying the Spectral Features of 56Ni of Type Ia Supernovae X Chen, L Wang, L Hu, PJ Brown The Astrophysical Journal 962 (2), 125, 2024 | 2 | 2024 |
