Tracing Hα fibrils through Bayesian deep learning H Jiang, J Jing, J Wang, C Liu, Q Li, Y Xu, JTL Wang, H Wang The Astrophysical Journal Supplement Series 256 (1), 20, 2021 | 17 | 2021 |
Predicting solar energetic particles using SDO/HMI vector magnetic data products and a bidirectional LSTM network Y Abduallah, VK Jordanova, H Liu, Q Li, JTL Wang, H Wang The Astrophysical Journal Supplement Series 260 (1), 16, 2022 | 14 | 2022 |
Improving the spatial resolution of solar images using generative adversarial network and self-attention mechanism J Deng, W Song, D Liu, Q Li, G Lin, H Wang The Astrophysical Journal 923 (1), 76, 2021 | 13 | 2021 |
Extending counter-streaming motion from an active region filament to a sunspot light bridge H Wang, R Liu, Q Li, C Liu, N Deng, Y Xu, J Jing, Y Wang, W Cao The Astrophysical Journal Letters 852 (1), L18, 2018 | 12 | 2018 |
High-resolution observation of moving magnetic features Q Li, N Deng, J Jing, C Liu, H Wang The Astrophysical Journal 876 (2), 129, 2019 | 11 | 2019 |
Solar flare index prediction using SDO/HMI vector magnetic data products with statistical and machine-learning methods H Zhang, Q Li, Y Yang, J Jing, JTL Wang, H Wang, Z Shang The Astrophysical Journal Supplement Series 263 (2), 28, 2022 | 9 | 2022 |
Understanding the Initiation of the M2. 4 Flare on 2017 July 14 J Jing, S Inoue, J Lee, Q Li, GM Nita, Y Xu, C Liu, DE Gary, H Wang The Astrophysical Journal 922 (2), 108, 2021 | 9 | 2021 |
Machine learning in heliophysics and space weather forecasting: a white paper of findings and recommendations G Nita, M Georgoulis, I Kitiashvili, V Sadykov, E Camporeale, ... arXiv preprint arXiv:2006.12224, 2020 | 9 | 2020 |
High-resolution Observations of Dynamics of Superpenumbral Hα Fibrils J Jing, Q Li, C Liu, J Lee, Y Xu, W Cao, H Wang The Astrophysical Journal 880 (2), 143, 2019 | 7 | 2019 |
High-resolution observations of downflows at one end of a pre-eruption filament Q Li, N Deng, J Jing, H Wang The Astrophysical Journal 841 (2), 112, 2017 | 7 | 2017 |
Inferring line-of-sight velocities and Doppler widths from Stokes profiles of GST/NIRIS using stacked deep neural networks H Jiang, Q Li, Y Xu, W Hsu, K Ahn, W Cao, JTL Wang, H Wang The Astrophysical Journal 939 (2), 66, 2022 | 6 | 2022 |
Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network C Xu, JTL Wang, H Wang, H Jiang, Q Li, Y Abduallah, Y Xu Solar Physics 299 (3), 36, 2024 | 4 | 2024 |
Generating photospheric vector magnetograms of solar active regions for SOHO/MDI using SDO/HMI and BBSO data with deep learning H Jiang, Q Li, N Liu, Z Hu, Y Abduallah, J Jing, Y Xu, JTL Wang, H Wang Solar Physics 298 (7), 87, 2023 | 4 | 2023 |
Magnetic reconnection rate in the M6. 5 solar flare on 2015 June 22 B Cannon, J Jing, Q Li, N Liu, J Lee, W Cao, H Wang The Astrophysical Journal 950 (2), 144, 2023 | 3 | 2023 |
Study of Global Photospheric and Chromospheric Flows Using Local Correlation Tracking and Machine Learning Methods I: Methodology and Uncertainty Estimates Q Li, Y Xu, M Verma, C Denker, J Zhao, H Wang Solar Physics 298 (5), 62, 2023 | 1 | 2023 |
A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data H Jiang, Q Li, Z Hu, N Liu, Y Abduallah, J Jing, G Zhang, Y Xu, W Hsu, ... arXiv preprint arXiv:2211.02278, 2022 | | 2022 |
Machine Learning in Heliophysics and space weather forecasting: a white paper of finding and recommendations IN Kitiashvili, G Nita, M Georgoulis, I Kitiashvili, V Sadykov, E Camporeale, ... SAO/NASA Astrophysics Data System, 2020 | | 2020 |
High-resolution Observation of Downflows at One End of A Pre-eruption Filament Q Li AAS/Solar Physics Division Abstracts# 47 47, 101.04, 2016 | | 2016 |
Extending Counter-Streaming Motion from an Active Region Filament to Sunspot Light Bridge View all abstracts by submitter H Wang, R Liu, Q Li, C Liu, N Deng, Y Xu, J Jing, Y Wang, W Cao | | |
Magnetic Reconnection Rate in the M6. 5 Solar Flare on 2015 June 22 View all abstracts by submitter B Cannon, J Jing, Q Li, N Liu, J Lee, W Cao, H Wang | | |