Publications of Xuebao Li

A list of publications authored or co-authored by Xuebao 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: 0000-0003-0397-4372

List of publications ordered by citations
Number of papers: 19 (refereed: 19)
No. of citations: 225
First author papers: 6 (refereed: 6)

2026

1. Operational Solar Flare Forecasting System Using an Explainable Large Language Model [0]
   Li, Xuebao, Lv, Yongshang, Wei, Jinfang, Zheng, Yanfang, Li, Ting, Wang, Rui, Wu, Zixian, Ye, Hongwei, Yan, Pengchao, Abidin, Zamri Zainal, Shah, Noraisyah Mohamed, Xiang, Changtian, Zhang, Shunhuang, Ji, Xiaojia, Huang, Xusheng, Wang, Xiaotian & Jin, Honglei, Space Weather, 24, e2025SW004879
2. A TimesNet-based Real-time Forecasting System for the F10.7 Index Using DRAO and Chinese Langfang Datasets [0]
   Li, Xuebao, Ji, Xiaojia, Zheng, Yanfang, Wu, Zixian, Ma, Xuran, Wei, Jinfang, Dong, Liang, Zainal Abidin, Zamri, Yan, Shuainan, Ye, Hongwei, Wang, Dongyang, Huang, Xusheng, Lv, Yongshang, Zhang, Shunhuang, Jin, Honglei, Latef, Tarik Abdul, Shah, Noraisyah Mohamed, Othman, Mohamadariff & Noordin, K. A., ApJS, 282, 52
3. Prediction of Major Solar Flares Using Interpretable Class-dependent Reward Framework with Active Region Magnetograms and Domain Knowledge [0]
   Wu, Zixian, Li, Xuebao, Zheng, Yanfang, Wang, Rui, Zhang, Shunhuang, Wei, Jinfang, Lv, Yongshang, Dong, Liang, Abidin, Zamri Zainal, Shah, Noraisyah Mohamed, Ye, Hongwei, Yan, Pengchao, Li, Xuefeng, Ji, Xiaojia, Huang, Xusheng, Wang, Xiaotian & Jin, Honglei, MNRAS, ,

2025

1. Forecasting Major Flares Using Magnetograms and Knowledge-informed Features: A Comparative Study of Deep Learning Models with Generalization to Multiple Data Products [2]
   Li, Xuebao, Zhang, Shunhuang, Zheng, Yanfang, Li, Ting, Wang, Rui, Liu, Yingbo, Ye, Hongwei, Shah, Noraisyah Mohamed, Yan, Pengchao, Li, Xuefeng, Wang, Xiaotian, Lv, Yongshang, Wei, Jinfang, Jin, Honglei & Xiang, Changtian, ApJS, 279, 46
2. Intelligent Forecasting for Solar Flares Using Magnetograms from SDO/SHARP, SDO/HMI, and ASO-S/FMG [2]
   Li, Xuebao, Ye, Hongwei, Zheng, Yanfang, Li, Ting, Lin, Jiaben, Zhang, Shunhuang, Yan, Pengchao, Lv, Yongshang, Shah, Noraisyah Mohamed, Li, Xuefeng, Wang, Xiaotian, Liu, Yingbo, Wang, Rui, Wei, Jinfang, Xiang, Changtian & Jin, Honglei, ApJS, 278, 63
3. Prediction of Large Solar Flares Based on SHARP and High-energy-density Magnetic Field Parameters [5]
   Li, Xuebao, Li, Xuefeng, Zheng, Yanfang, Li, Ting, Yan, Pengchao, Ye, Hongwei, Zhang, Shunhuang, Wang, Xiaotian, Lv, Yongshang & Huang, Xusheng, ApJS, 276, 7

2024

1. Survey of Magnetic Field Parameters Associated with Large Solar Flares [8]
   Li, Ting, Zheng, Yanfang, Li, Xuefeng, Hou, Yijun, Li, Xuebao, Zhang, Yining & Chen, Anqin, ApJ, 964, 159
2. The influence of magnetic field parameters and time step on deep learning models of solar flare prediction [4]
   Wei, Jinfang, Zheng, Yanfang, Li, Xuebao, Xiang, Changtian, Yan, Pengchao, Huang, Xusheng, Dong, Liang, Lou, Hengrui, Yan, Shuainan, Ye, Hongwei, Li, Xuefeng, Zhang, Shunhuang, Pan, Yexin & Wu, Huiwen, Astrophysics and Space Science, 369, 48
3. Analysis of the main factors affecting the performance of multi-classification forecast model for solar flares [1]
   Xiang, Changtian, Zheng, Yanfang, Li, Xuebao, Wei, Jinfang, Yan, Pengchao, Si, Yingzhen, Huang, Xusheng, Dong, Liang, Yan, Shuainan, Lou, Hengrui, Ye, Hongwei, Li, Xuefeng, Zhang, Shunhuang, Pan, Yexin & Wu, Huiwen, Astrophysics and Space Science, 369, 89
4. A real-time solar flare forecasting system with deep learning methods [4]
   Yan, Pengchao, Li, Xuebao, Zheng, Yanfang, Dong, Liang, Yan, Shuainan, Zhang, Shunhuang, Ye, Hongwei, Li, Xuefeng, Lü, Yongshang, Ling, Yi, Huang, Xusheng & Pan, Yexin, Astrophysics and Space Science, 369, 110
5. Application of F_10.7 Index Prediction Model Based on BiLSTM-attention and Chinese Autonomous Dataset [2]
   Yan, Shuainan, Li, Xuebao, Dong, Liang, Huang, Wengeng, Wang, Jing, Yan, Pengchao, Lou, Hengrui, Huang, Xusheng, Li, Zhe & Zheng, Yanfang, Chinese Journal of Space Science, 44, 251
6. A transformer-based forecasting model for F10.7 index and its application study on the Chinese Langfang dataset [2]
   Ye, Hongwei, Zheng, Yanfang, Li, Xuebao, Dong, Liang, Huang, Wengeng, Wang, Jing, Yan, Shuainan, Lou, Hengrui, Yan, Pengchao, Zhang, Shunhuang, Li, Xuefeng, Ling, Yi, Huang, Xusheng & Pan, Yexin, Advances in Space Research, 74, 6309
7. A novel solar flare forecast model with deep convolution neural network and one-against-rest approach [5]
   Zhang, Shunhuang, Zheng, Yanfang, Li, Xuebao, Ye, Hongwei, Dong, Liang, Huang, Xusheng, Yan, Pengchao, Li, Xuefeng, Wei, Jinfang, Xiang, Changtian, Wang, Xiaotian & Pan, Yexin, Advances in Space Research, 74, 3467

2023

1. Multiclass solar flare forecasting models with different deep learning algorithms [23]
   Zheng, Yanfang, Li, Xuebao, Yan, Shuainan, Huang, Xusheng, Lou, Hengrui & Li, Zhe, MNRAS, 521, 5384
2. A novel short-term radio flux trend prediction model based on deep learning [0]
   Zheng, Yanfang, Ling, Yi, Li, Xuebao, Qin, Weishu, Dong, Liang, Huang, Xusheng, Li, Xuefeng, Yan, Pengchao, Yan, Shuainan, Lou, Hengrui & Ye, Hongwei, Astrophysics and Space Science, 368, 87
3. Comparative analysis of machine learning models for solar flare prediction [11]
   Zheng, Yanfang, Qin, Weishu, Li, Xuebao, Ling, Yi, Huang, Xusheng, Li, Xuefeng, Yan, Pengchao, Yan, Shuainan & Lou, Hengrui, Astrophysics and Space Science, 368, 53

2021

1. Hybrid deep convolutional neural network with one-versus-one approach for solar flare prediction [16]
   Zheng, Yanfang, Li, Xuebao, Si, Yingzhen, Qin, Weishu & Tian, Huifeng, MNRAS, 507, 3519

2020

1. Predicting Solar Flares Using a Novel Deep Convolutional Neural Network [87]
   Li, Xuebao, Zheng, Yanfang, Wang, Xinshuo & Wang, Lulu, ApJ, 891, 10

2019

1. Solar Flare Prediction with the Hybrid Deep Convolutional Neural Network [53]
   Zheng, Yanfang, Li, Xuebao & Wang, Xinshuo, ApJ, 885, 73