Publications of Qin Li

A list of publications authored or co-authored by Qin Li, derived from the SAO/NASA Astrophysics Data System (ADS). The number in brackets after each title indicates the number of citations that the paper has received.

Orcid ID: 0000-0002-3669-1830

List of publications ordered by citations
Number of papers: 22 (refereed: 20)
No. of citations: 155
First author papers: 4 (refereed: 3)

2025

1. Hidden Activity Revealed: Photospheric Energetics and Dynamics with High-resolution Magnetographic Data [1]
   Georgoulis, Manolis K., Li, Qin, Lee, Jeongwoo, Wang, Haimin & Raouafi, Nour E., ApJ, 990, L6
2. Reconstruction of Solar Extreme-ultraviolet Irradiance Using Ca II K Images and SOHO/SEM Data with Bayesian Deep Learning and Uncertainty Quantification [0]
   Jiang, Haodi, Li, Qin, Wang, Jason T. L., Wang, Haimin & Criscuoli, Serena, ApJS, 280, 50
3. Solar Alfvénic Pulses and Mesoscale Solar Wind [4]
   Lee, Jeongwoo, Georgoulis, Manolis K., Sharma, Rahul, Raouafi, Nour E., Li, Qin & Wang, Haimin, ApJ, 988, L16
4. MVPinn: Integrating Milne-Eddington Inversion with Physics-Informed Neural Networks for GST/NIRIS Observations [0]
   Li, Qin, Shen, Bo, Jiang, Haodi, Yurchyshyn, Vasyl B., Baildon, Taylor, Yi, Kangwoo, Cao, Wenda & Wang, Haimin, arXiv:2507.09430
5. Reconstructing He I 10830 Å Images Using Hα Images through Deep Learning [1]
   Marena, Marco, Li, Qin, Wang, Haimin & Shen, Bo, ApJ, 984, 99
6. Improving the spatial resolution of SDO/HMI transverse and line-of-sight magnetograms using GST/NIRIS data with machine learning [0]
   Xu, Chunhui, Xu, Yan, Wang, Jason T. L., Li, Qin & Wang, Haimin, A&A, 697, A110

2024

1. Magnetic Eruption from a Three-ribbon Flare [2]
   Jing, Ju, Lee, Jeongwoo, Mancuso, Mia, Li, Qin, Liu, Nian, Inoue, Satoshi, Xu, Yan & Wang, Haimin, ApJ, 972, 110
2. Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network [8]
   Xu, Chunhui, Wang, Jason T. L., Wang, Haimin, Jiang, Haodi, Li, Qin, Abduallah, Yasser & Xu, Yan, Solar Physics, 299, 36

2023

1. Magnetic Reconnection Rate in the M6.5 Solar Flare on 2015 June 22 [3]
   Cannon, Bryce, Jing, Ju, Li, Qin, Liu, Nian, Lee, Jeongwoo, Cao, Wenda & Wang, Haimin, ApJ, 950, 144
2. Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data with Deep Learning [7]
   Jiang, Haodi, Li, Qin, Liu, Nian, Hu, Zhihang, Abduallah, Yasser, Jing, Ju, Xu, Yan, Wang, Jason T. L. & Wang, Haimin, Solar Physics, 298, 87
3. Study of Global Photospheric and Chromospheric Flows Using Local Correlation Tracking and Machine Learning Methods I: Methodology and Uncertainty Estimates [2]
   Li, Qin, Xu, Yan, Verma, Meetu, Denker, Carsten, Zhao, Junwei & Wang, Haimin, Solar Physics, 298, 62

2022

1. Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network [14]
   Abduallah, Yasser, Jordanova, Vania K., Liu, Hao, Li, Qin, Wang, Jason T. L. & Wang, Haimin, ApJS, 260, 16
2. Inferring Line-of-sight Velocities and Doppler Widths from Stokes Profiles of GST/NIRIS Using Stacked Deep Neural Networks [7]
   Jiang, Haodi, Li, Qin, Xu, Yan, Hsu, Wynne, Ahn, Kwangsu, Cao, Wenda, Wang, Jason T. L. & Wang, Haimin, ApJ, 939, 66
3. Solar Flare Index Prediction Using SDO/HMI Vector Magnetic Data Products with Statistical and Machine-learning Methods [17]
   Zhang, Hewei, Li, Qin, Yang, Yanxing, Jing, Ju, Wang, Jason T. L., Wang, Haimin & Shang, Zuofeng, ApJS, 263, 28

2021

1. Improving the Spatial Resolution of Solar Images Using Generative Adversarial Network and Self-attention Mechanism [16]
   Deng, Junlan, Song, Wei, Liu, Dan, Li, Qin, Lin, Ganghua & Wang, Haimin, ApJ, 923, 76
2. Tracing Hα Fibrils through Bayesian Deep Learning [8]
   Jiang, Haodi, Jing, Ju, Wang, Jiasheng, Liu, Chang, Li, Qin, Xu, Yan, Wang, Jason T. L. & Wang, Haimin, ApJS, 256, 20
3. Understanding the Initiation of the M2.4 Flare on 2017 July 14 [9]
   Jing, Ju, Inoue, Satoshi, Lee, Jeongwoo, Li, Qin, Nita, Gelu M., Xu, Yan, Liu, Chang, Gary, Dale E. & Wang, Haimin, ApJ, 922, 108

2020

1. Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations [5]
   Nita, Gelu, Georgoulis, Manolis, Kitiashvili, Irina, Sadykov, Viacheslav, Camporeale, Enrico, Kosovichev, Alexander, Wang, Haimin, Oria, Vincent, Wang, Jason, Angryk, Rafal, Aydin, Berkay, Ahmadzadeh, Azim, Bai, Xiaoli, Bastian, Timothy, Filali Boubrahimi, Soukaina, Chen, Bin, Davey, Alisdair, Fereira, Sheldon, Fleishman, Gregory, Gary, Dale, Gerrard, Andrew, Hellbourg, Gregory, Herbert, Katherine, Ireland, Jack, Illarionov, Egor, Kuroda, Natsuha, Li, Qin, Liu, Chang, Liu, Yuexin, Kim, Hyomin, Kempton, Dustin, Ma, Ruizhe, Martens, Petrus, McGranaghan, Ryan, Semones, Edward, Stefan, John, Stejko, Andrey, Collado-Vega, Yaireska, Wang, Meiqi, Xu, Yan & Yu, Sijie, arXiv:2006.12224

2019

1. High-resolution Observations of Dynamics of Superpenumbral Hα Fibrils [6]
   Jing, Ju, Li, Qin, Liu, Chang, Lee, Jeongwoo, Xu, Yan, Cao, Wenda & Wang, Haimin, ApJ, 880, 143
2. High-resolution Observation of Moving Magnetic Features [15]
   Li, Qin, Deng, Na, Jing, Ju, Liu, Chang & Wang, Haimin, ApJ, 876, 129

2018

1. Extending Counter-streaming Motion from an Active Region Filament to a Sunspot Light Bridge [23]
   Wang, Haimin, Liu, Rui, Li, Qin, Liu, Chang, Deng, Na, Xu, Yan, Jing, Ju, Wang, Yuming & Cao, Wenda, ApJ, 852, L18

2017

1. High-resolution Observations of Downflows at One End of a Pre-eruption Filament [7]
   Li, Qin, Deng, Na, Jing, Ju & Wang, Haimin, ApJ, 841, 112