Publications of Qin Li ordered by citations

A list of publications authored or co-authored by Qin Li, derived from the SAO/NASA Astrophysics Data System (ADS) and ordered by the numbers of citations.

Orcid ID: 0000-0002-3669-1830

24	Extending Counter-streaming Motion from an Active Region Filament to a Sunspot Light Bridge Wang, Haimin, Liu, Rui, Li, Qin, Liu, Chang, Deng, Na, Xu, Yan, Jing, Ju, Wang, Yuming & Cao, Wenda, 2018, ApJ, 852, L18
19	Solar Flare Index Prediction Using SDO/HMI Vector Magnetic Data Products with Statistical and Machine-learning Methods Zhang, Hewei, Li, Qin, Yang, Yanxing, Jing, Ju, Wang, Jason T. L., Wang, Haimin & Shang, Zuofeng, 2022, ApJS, 263, 28
17	Improving the Spatial Resolution of Solar Images Using Generative Adversarial Network and Self-attention Mechanism Deng, Junlan, Song, Wei, Liu, Dan, Li, Qin, Lin, Ganghua & Wang, Haimin, 2021, ApJ, 923, 76
14	High-resolution Observation of Moving Magnetic Features Li, Qin, Deng, Na, Jing, Ju, Liu, Chang & Wang, Haimin, 2019, ApJ, 876, 129
14	Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network Abduallah, Yasser, Jordanova, Vania K., Liu, Hao, Li, Qin, Wang, Jason T. L. & Wang, Haimin, 2022, ApJS, 260, 16
9	Understanding the Initiation of the M2.4 Flare on 2017 July 14 Jing, Ju, Inoue, Satoshi, Lee, Jeongwoo, Li, Qin, Nita, Gelu M., Xu, Yan, Liu, Chang, Gary, Dale E. & Wang, Haimin, 2021, ApJ, 922, 108
8	Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data with Deep Learning Jiang, Haodi, Li, Qin, Liu, Nian, Hu, Zhihang, Abduallah, Yasser, Jing, Ju, Xu, Yan, Wang, Jason T. L. & Wang, Haimin, 2023, Solar Physics, 298, 87
8	Tracing Hα Fibrils through Bayesian Deep Learning Jiang, Haodi, Jing, Ju, Wang, Jiasheng, Liu, Chang, Li, Qin, Xu, Yan, Wang, Jason T. L. & Wang, Haimin, 2021, ApJS, 256, 20
8	Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network Xu, Chunhui, Wang, Jason T. L., Wang, Haimin, Jiang, Haodi, Li, Qin, Abduallah, Yasser & Xu, Yan, 2024, Solar Physics, 299, 36
7	High-resolution Observations of Downflows at One End of a Pre-eruption Filament Li, Qin, Deng, Na, Jing, Ju & Wang, Haimin, 2017, ApJ, 841, 112
7	Inferring Line-of-sight Velocities and Doppler Widths from Stokes Profiles of GST/NIRIS Using Stacked Deep Neural Networks Jiang, Haodi, Li, Qin, Xu, Yan, Hsu, Wynne, Ahn, Kwangsu, Cao, Wenda, Wang, Jason T. L. & Wang, Haimin, 2022, ApJ, 939, 66
6	High-resolution Observations of Dynamics of Superpenumbral Hα Fibrils Jing, Ju, Li, Qin, Liu, Chang, Lee, Jeongwoo, Xu, Yan, Cao, Wenda & Wang, Haimin, 2019, ApJ, 880, 143
5	Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations 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, 2020, arXiv:2006.12224
5	Magnetic Reconnection Rate in the M6.5 Solar Flare on 2015 June 22 Cannon, Bryce, Jing, Ju, Li, Qin, Liu, Nian, Lee, Jeongwoo, Cao, Wenda & Wang, Haimin, 2023, ApJ, 950, 144
4	Solar Alfvénic Pulses and Mesoscale Solar Wind Lee, Jeongwoo, Georgoulis, Manolis K., Sharma, Rahul, Raouafi, Nour E., Li, Qin & Wang, Haimin, 2025, ApJ, 988, L16
2	Study of Global Photospheric and Chromospheric Flows Using Local Correlation Tracking and Machine Learning Methods I: Methodology and Uncertainty Estimates Li, Qin, Xu, Yan, Verma, Meetu, Denker, Carsten, Zhao, Junwei & Wang, Haimin, 2023, Solar Physics, 298, 62
2	Magnetic Eruption from a Three-ribbon Flare Jing, Ju, Lee, Jeongwoo, Mancuso, Mia, Li, Qin, Liu, Nian, Inoue, Satoshi, Xu, Yan & Wang, Haimin, 2024, ApJ, 972, 110
1	Global-local Fourier Neural Operator for Accelerating Coronal Magnetic Field Model Du, Yutao, Li, Qin, Gnanasambandam, Raghav, Du, Mengnan, Wang, Haimin & Shen, Bo, 2024, 2024 IEEE International Conference on Big Data (BigData), p. 186
1	Reconstructing He I 10830 Å Images Using Hα Images through Deep Learning Marena, Marco, Li, Qin, Wang, Haimin & Shen, Bo, 2025, ApJ, 984, 99
1	Hidden Activity Revealed: Photospheric Energetics and Dynamics with High-resolution Magnetographic Data Georgoulis, Manolis K., Li, Qin, Lee, Jeongwoo, Wang, Haimin & Raouafi, Nour E., 2025, ApJ, 990, L6
1	Reconstruction of Solar Extreme-ultraviolet Irradiance Using Ca II K Images and SOHO/SEM Data with Bayesian Deep Learning and Uncertainty Quantification Jiang, Haodi, Li, Qin, Wang, Jason T. L., Wang, Haimin & Criscuoli, Serena, 2025, ApJS, 280, 50
0	Improving the spatial resolution of SDO/HMI transverse and line-of-sight magnetograms using GST/NIRIS data with machine learning Xu, Chunhui, Xu, Yan, Wang, Jason T. L., Li, Qin & Wang, Haimin, 2025, A&A, 697, A110
0	MVPinn: Integrating Milne-Eddington Inversion with Physics-Informed Neural Networks for GST/NIRIS Observations Li, Qin, Shen, Bo, Jiang, Haodi, Yurchyshyn, Vasyl B., Baildon, Taylor, Yi, Kangwoo, Cao, Wenda & Wang, Haimin, 2025, arXiv:2507.09430
0	Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges [Vision Paper] Shen, Bo, Marena, Marco, Li, Chenyang, Li, Qin, Jiang, Haodi, Du, Mengnan, Xu, Jiajun & Wang, Haimin, 2024, 2024 IEEE International Conference on Big Data (BigData), p. 123