Publications of Hyun-Jin Jeong

A list of publications authored or co-authored by Hyun-Jin Jeong, 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: 0000-0003-4616-947X

List of publications ordered by citations
Number of papers: 32 (refereed: 30)
No. of citations: 215
First author papers: 5 (refereed: 5)

2026

1. Generation of Rainfall Maps from GK2A Satellite Images Using Deep Learning [0]
   Lim, Yerim, Choi, Yeji, Kim, Eunbin, Moon, Yong-Jae & Jeong, Hyun-Jin, Remote Sensing, 18, 188
2. COCONUT: A Coronal Model with an Energy Decomposition Strategy [1]
   Wang, Hao P., Poedts, S., Lani, A., Dhib, R., Linan, L., Baratashvili, T., Jeong, H.-J., Zhou, Yu H., Li, Yu C., Najafi-Ziyazi, M., Wang, J., Schmieder, B., Wang, W. S. & Husidic, E., ApJS, 283, 40

2025

1. Comparison of Empirical and Deep Learning Models for Solar Wind Speed Prediction [1]
   Ahn, Seungwoo, Son, Jihyeon, Moon, Yong-Jae & Jeong, Hyun-Jin, ApJ, 987, 179
2. Real-time Extrapolation of Nonlinear Force-free Fields from Photospheric Vector Magnetic Fields Using a Physics-informed Neural Operator [4]
   Jeon, Mingyu, Jeong, Hyun-Jin, Moon, Yong-Jae, Kang, Jihye & Kusano, Kanya, ApJS, 277, 54
3. Artificial-intelligence-based Reconstruction of Solar Farside Vector Magnetograms from Multispacecraft Extreme-ultraviolet Data [1]
   Jeong, Hyun-Jin, Park, Eunsu, Lee, Harim, Youn, Junmu, Jeon, Mingyu, Moon, Yong-Jae, Poedts, Stefaan, Carella, Francesco, Wang, Haopeng, Kim, Daeil, Kim, Youngjae & Kang, Jihye, ApJS, 281, 63
4. Prediction of Time-evolving Radial Magnetic Fields on the Solar Surface Using Deep Learning [4]
   Jeong, Hyun-Jin, Poedts, Stefaan, Wang, Haopeng, Dineva, Ekatarina, Gonidakis, Panagiotis, Carella, Francesco, Miloshevich, George, Linan, Luis & Lee, Harim, ApJ, 989, L31
5. Prediction of the Next Solar Rotation Synoptic Maps Using an Artificial Intelligence─based Surface Flux Transport Model [5]
   Jeong, Hyun-Jin, Jeon, Mingyu, Kim, Daeil, Kim, Youngjae, Baek, Ji-Hye, Moon, Yong-Jae & Choi, Seonghwan, ApJS, 278, 5
6. Solar Cycle Dependence of NOAA Space Weather Scale Frequencies [0]
   Kim, Daeil, Moon, Yong-Jae, Jeong, Hyun-Jin & Son, Jihyeon, Journal of Korean Astronomical Society, 58, 55
7. Fast Reconstruction of Solar Wind Magnetohydrodynamic Parameters at 0.1 au with Machine Learning [1]
   Li, Yucong, Wang, Haopeng, Jeong, Hyun-Jin, Shen, Fang, Poedts, Stefaan, Yang, Yi, Guo, Jinhan & Lin, Rongpei, ApJS, 281, 23
8. A Method to Predict the Likelihood and Magnitudes of Solar Flares for a Given Solar Active Region [0]
   Lim, Daye, Moon, Yong-Jae & Jeong, Hyun-Jin, Journal of Korean Astronomical Society, 58, 197
9. Six-hour Prediction of Interplanetary Magnetic Field B_z Profiles for Strong Southward Cases by Deep Learning [1]
   Son, Jihyeon, Moon, Yong-Jae, Kwak, Young-Sil, Park, Kyung Sun & Jeong, Hyun-Jin, ApJ, 984, 67
10. Time-evolving coronal modelling of the solar maximum around the solar storms in May 2024 by COCONUT [5]
    Wang, H. P., Poedts, S., Lani, A., Linan, L., Baratashvili, T., Zhang, F., Sorokina, D., Jeong, H.-J., Li, Y. C., Najafi-Ziyazi, M. & Schmieder, B., A&A, 702, A37
11. SIP-IFVM: An Observation-based Magnetohydrodynamic Model of a Coronal Mass Ejection [3]
    Wang, Hao P., Guo, Jin H., Poedts, S., Lani, A., Linan, L., Baratashvili, T., Yang, Li P., Jeong, H.-J., Wei, Wen W., Li, Cai X., Yang, Y., Li, Yu C., Wu, Hao, Guo, Yang & Schmieder, B., ApJS, 281, 43
12. SIP-IFVM: A Time-evolving Coronal Model with an Extended Magnetic Field Decomposition Strategy [9]
    Wang, Haopeng, Yang, Liping, Poedts, Stefaan, Lani, Andrea, Zhou, Yuhao, Gao, Yuhang, Linan, Luis, Lv, Jiakun, Baratashvili, Tinatin, Guo, Jinhan, Lin, Rong, Su, Zhan, Li, Caixia, Zhang, Man, Wei, Wenwen, Yang, Yun, Li, Yucong, Ma, Xinyi, Husidic, Edin, Jeong, Hyun-Jin, Najafi-Ziyazi, Mahdi, Wang, Juan & Schmieder, Brigitte, ApJS, 278, 59
13. Can we properly determine differential emission measures from Solar Orbiter/EUI/FSI with deep learning? [3]
    Youn, Junmu, Lee, Harim, Jeong, Hyun-Jin, Lee, Jin-Yi, Park, Eunsu & Moon, Yong-Jae, A&A, 695, A125

2024

1. 3D Magnetic Free Energy and Flaring Activity Using 83 Major Solar Flares [5]
   Karimov, Khojiakbar, Lee, Harim, Jeong, Hyun-Jin, Moon, Yong-Jae, Kang, Jihye, Son, Jihyeon, Jeon, Mingyu & Kusano, Kanya, ApJ, 965, L5
2. Can Solar Limb Flare Prediction Be Properly Made by Extreme-ultraviolet Intensities? [2]
   Lee, Jaewon, Moon, Yong-Jae, Jeong, Hyun-Jin, Yi, Kangwoo & Lee, Harim, ApJ, 971, L47
3. Scientific Perspectives of the Heliophysics L4 Mission by Remote-Sensing Observations [6]
   Moon, Yong-Jae, Cho, Kyung-Suk, Park, Sung-Hong, Lim, Eun-Kyung, Kim, Roksoon, Song, Donguk, Park, Jongyeob, Park, Eunsu, Lee, Harim, Jeong, Hyun-Jin, Kang, Jihye, Park, Jinhye, Yi, Kangwoo, Cho, Il-Hyun & Na, Hyeonock, Journal of Korean Astronomical Society, 57, 35
4. Fe/O Variations Relative to Source Longitude and Heliospheric Current Sheet in Large Solar Energetic Particle Events [3]
   Park, Jinhye, Bucik, Radoslav, Jeong, Hyun-Jin & Moon, Yong-Jae, ApJ, 977, 86
5. Near-real-time 3D Reconstruction of the Solar Coronal Parameters Based on the Magnetohydrodynamic Algorithm outside a Sphere Using Deep Learning [4]
   Rahman, Sumiaya, Jeong, Hyun-Jin, Siddique, Ashraf, Moon, Yong-Jae & Lawrance, Bendict, ApJS, 271, 14

2023

1. Short-term forecasting of typhoon rainfall with a deep-learning-based disaster monitoring model [3]
   Kim, Doyi, Choi, Yeji, Seo, Minseok, Shin, Seungheon & Jeong, Hyun-Jin, Environmental Data Science, 2, e28
2. Application of Deep Learning to Solar and Space Weather Data [5]
   Moon, Yong-Jae, Lee, Harim, Son, Jihyeon, Sung, Suk-Kyung, Yi, Kangwoo, Jeong, Hyun-Jin, Park, Eunsu, Ji, Eun-Young, Cho, Il-Hyun, Lawrance, Bendict, Lim, Daye, Shin, Gyungin, Lee, Sujin, Rahman, Sumiaya & Kim, Taeyoung, The Era of Multi-Messenger Solar Physics (Editors: Cauzzi, Gianna & Tritschler, Alexandra), IAU Symposium, 372, p. 131
3. Pixel-to-pixel Translation of Solar Extreme-ultraviolet Images for DEMs by Fully Connected Networks [3]
   Park, Eunsu, Lee, Harim, Moon, Yong-Jae, Lee, Jin-Yi, Cho, Il-Hyun, Lee, Kyoung-Sun, Lim, Daye, Jeong, Hyun-Jin & Lee, Jae-Ok, ApJS, 264, 33
4. Examining the Source Regions of Solar Energetic Particles Using an AI-generated Synchronic Potential Field Source Surface Model [2]
   Park, Jinhye, Jeong, Hyun-Jin & Moon, Yong-Jae, ApJ, 953, 159
5. Fast Reconstruction of 3D Density Distribution around the Sun Based on the MAS by Deep Learning [5]
   Rahman, Sumiaya, Shin, Seungheon, Jeong, Hyun-Jin, Siddique, Ashraf, Moon, Yong-Jae, Park, Eunsu, Kang, Jihye & Bae, Sung-Ho, ApJ, 948, 21
6. Three-day Forecasting of Solar Wind Speed Using SDO/AIA Extreme-ultraviolet Images by a Deep-learning Model [7]
   Son, Jihyeon, Sung, Suk-Kyung, Moon, Yong-Jae, Lee, Harim & Jeong, Hyun-Jin, ApJS, 267, 45
7. Application of Deep Reinforcement Learning to Major Solar Flare Forecasting [8]
   Yi, Kangwoo, Moon, Yong-Jae & Jeong, Hyun-Jin, ApJS, 265, 34

2022

1. Improved AI-generated Solar Farside Magnetograms by STEREO and SDO Data Sets and Their Release [32]
   Jeong, Hyun-Jin, Moon, Yong-Jae, Park, Eunsu, Lee, Harim & Baek, Ji-Hye, ApJS, 262, 50

2021

1. Reply to: Reliability of AI-generated magnetograms from only EUV images [2]
   Park, Eunsu, Jeong, Hyun-Jin, Lee, Harim, Kim, Taeyoung & Moon, Yong-Jae, Nature Astronomy, 5, 111
2. Generation of He I 1083 nm Images from SDO AIA Images by Deep Learning [15]
   Son, Jihyeon, Cha, Junghun, Moon, Yong-Jae, Lee, Harim, Park, Eunsu, Shin, Gyungin & Jeong, Hyun-Jin, ApJ, 920, 101

2020

1. Solar Coronal Magnetic Field Extrapolation from Synchronic Data with AI-generated Farside [46]
   Jeong, Hyun-Jin, Moon, Yong-Jae, Park, Eunsu & Lee, Harim, ApJ, 903, L25
2. Generation of High-resolution Solar Pseudo-magnetograms from Ca II K Images by Deep Learning [29]
   Shin, Gyungin, Moon, Yong-Jae, Park, Eunsu, Jeong, Hyunjin, Lee, Harim & Bae, Sung-Ho, ApJ, 895, L16