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	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
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
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	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
3	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
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
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