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Qin Li
Qin Li
在 njit.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
172021
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
142022
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
132021
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
122018
High-resolution observation of moving magnetic features
Q Li, N Deng, J Jing, C Liu, H Wang
The Astrophysical Journal 876 (2), 129, 2019
112019
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
92022
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
92021
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
92020
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
72019
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
72017
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
62022
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
42024
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
42023
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
32023
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
12023
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
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