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: 25 (refereed: 22)
No. of citations: 166
First author papers: 4 (refereed: 3)

2026

1. Statistical Analysis of Minifilament Eruptions Using Full-disk Hα Blue-wing Observations at Big Bear Solar Observatory [0]
   Khaleghi, Artin, Li, Qin, Huang, Nengyi, Lee, Jeongwoo & Wang, Haimin, ApJS, 285, 70
2. Reconstructing Synthetic SDO/AIA 193 Å EUV Images from He I 10830 Å Observations with Diffusion Model Translator [0]
   Marena, Marco, Li, Qin, Wang, Haimin, Jiang, Haodi, Shah, Prajwal & Shen, Bo, ApJ, 1007, 62

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., The Astrophysical Journal Letters, 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 [2]
   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, The Astrophysical Journal Letters, 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 [2]
   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 [1]
   Xu, Chunhui, Xu, Yan, Wang, Jason T. L., Li, Qin & Wang, Haimin, A&A, 697, A110

2024

1. Global-local Fourier Neural Operator for Accelerating Coronal Magnetic Field Model [2]
   Du, Yutao, Li, Qin, Gnanasambandam, Raghav, Du, Mengnan, Wang, Haimin & Shen, Bo, 2024 IEEE International Conference on Big Data (BigData), p. 186
2. Magnetic Eruption from a Three-ribbon Flare [3]
   Jing, Ju, Lee, Jeongwoo, Mancuso, Mia, Li, Qin, Liu, Nian, Inoue, Satoshi, Xu, Yan & Wang, Haimin, ApJ, 972, 110
3. Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges [Vision Paper] [0]
   Shen, Bo, Marena, Marco, Li, Chenyang, Li, Qin, Jiang, Haodi, Du, Mengnan, Xu, Jiajun & Wang, Haimin, 2024 IEEE International Conference on Big Data (BigData), p. 123
4. Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network [9]
   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 [5]
   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 [8]
   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 [20]
   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 [17]
   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

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 [14]
   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 [25]
   Wang, Haimin, Liu, Rui, Li, Qin, Liu, Chang, Deng, Na, Xu, Yan, Jing, Ju, Wang, Yuming & Cao, Wenda, The Astrophysical Journal Letters, 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