Publications of Eunsu Park

A list of publications authored or co-authored by Eunsu Park, 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: 0000-0003-0969-286X

List of publications ordered by citations
Number of papers: 30 (refereed: 28)
No. of citations: 598
First author papers: 6 (refereed: 5)

2025

  1. 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
  2. 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. 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

2023

  1. Automatic Detection of Type II Solar Radio Burst by Using 1-D Convolution Neutral Network [0]
    Cho, Kyung-Suk, Kim, Junyoung, Kim, Rok-Soon, Park, Eunsu, Kubo, Yûki & Iwai, Kazumasa, Journal of Korean Astronomical Society, 56, 213
  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. 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

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
  2. Generation of Solar Coronal White-light Images from SDO/AIA EUV Images by Deep Learning [7]
    Lawrance, Bendict, Lee, Harim, Park, Eunsu, Cho, Il-Hyun, Moon, Yong-Jae, Lee, Jin-Yi, Shanmugaraju, A. & Rahman, Sumiaya, ApJ, 937, 111
  3. Deep Learning-based Fast Spectral Inversion of Hα and Ca II 8542 Line Spectra [4]
    Lee, Kyoung-Sun, Chae, Jongchul, Park, Eunsu, Moon, Yong-Jae, Kwak, Hannah & Cho, Kyuhyoun, ApJ, 940, 147
  4. Inference of magnetic field during the Dalton minimum: Case study with recorded sunspot areas [2]
    Uneme, Shoma, Imada, Shinsuke, Lee, Harim, Park, Eunsu, Hayakawa, Hisashi, Iju, Tomoya & Moon, Yong-Jae, Publications of the Astronomical Society of Japan, 74, 767

2021

  1. Generation of Modern Satellite Data from Galileo Sunspot Drawings in 1612 by Deep Learning [11]
    Lee, Harim, Park, Eunsu & Moon, Yong-Jae, ApJ, 907, 118
  2. One-Day Forecasting of Global TEC Using a Novel Deep Learning Model [47]
    Lee, Sujin, Ji, Eun-Young, Moon, Yong-Jae & Park, Eunsu, Space Weather, 19, e2020SW002600
  3. Selection of Three (Extreme)Ultraviolet Channels for Solar Satellite Missions by Deep Learning [9]
    Lim, Daye, Moon, Yong-Jae, Park, Eunsu & Lee, Jin-Yi, ApJ, 915, L31
  4. 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
  5. 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
  6. Visual Explanation of a Deep Learning Solar Flare Forecast Model and Its Relationship to Physical Parameters [30]
    Yi, Kangwoo, Moon, Yong-Jae, Lim, Daye, Park, Eunsu & Lee, Harim, ApJ, 910, 8

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. Improvement of IRI Global TEC Maps by Deep Learning Based on Conditional Generative Adversarial Networks [26]
    Ji, Eun-Young, Moon, Yong-Jae & Park, Eunsu, Space Weather, 18, e02411
  3. De-noising SDO/HMI Solar Magnetograms by Image Translation Method Based on Deep Learning [19]
    Park, Eunsu, Moon, Yong-Jae, Lim, Daye & Lee, Harim, ApJ, 891, L4
  4. Super-resolution of SDO/HMI Magnetograms Using Novel Deep Learning Methods [27]
    Rahman, Sumiaya, Moon, Yong-Jae, Park, Eunsu, Siddique, Ashraf, Cho, Il-Hyun & Lim, Daye, ApJ, 897, L32
  5. 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

2019

  1. Nighttime Reflectance Generation in the Visible Band of Satellites [26]
    Kim, Kimoon, Kim, Ji-Hye, Moon, Yong-Jae, Park, Eunsu, Shin, Gyungin, Kim, Taeyoung, Kim, Yerin & Hong, Sungwook, Remote Sensing, 11, 2087
  2. Solar farside magnetograms from deep learning analysis of STEREO/EUVI data [90]
    Kim, Taeyoung, Park, Eunsu, Lee, Harim, Moon, Yong-Jae, Bae, Sung-Ho, Lim, Daye, Jang, Soojeong, Kim, Lokwon, Cho, Il-Hyun, Choi, Myungjin & Cho, Kyung-Suk, Nature Astronomy, 3, 397
  3. Forecast of Daily Major Flare Probability Using Relationships between Vector Magnetic Properties and Flaring Rates [17]
    Lim, Daye, Moon, Yong-Jae, Park, Jeongyeob, Park, Eunsu, Lee, Kangjin, Lee, Jin-Yi & Jang, Soojeong, Journal of Korean Astronomical Society, 52, 133
  4. Ensemble Forecasting of Major Solar Flares with Short-, Mid-, and Long-term Active Region Properties [8]
    Lim, Daye, Moon, Yong-Jae, Park, Eunsu, Park, Jongyeob, Lee, Kangjin, Lee, Jin-Yi & Jang, Soojeong, ApJ, 885, 35
  5. Generation of Solar UV and EUV Images from SDO/HMI Magnetograms by Deep Learning [41]
    Park, Eunsu, Moon, Yong-Jae, Lee, Jin-Yi, Kim, Rok-Soon, Lee, Harim, Lim, Daye, Shin, Gyungin & Kim, Taeyoung, ApJ, 884, L23

2018

  1. Three-dimensional Oscillations of 21 Halo Coronal Mass Ejections Using Multi-spacecraft Data [4]
    Lee, Harim, Moon, Y.-J., Nakariakov, V. M., Na, Hyeonock, Cho, Il-Hyun & Park, Eunsu, ApJ, 868, 18
  2. Application of the Deep Convolutional Neural Network to the Forecast of Solar Flare Occurrence Using Full-disk Solar Magnetograms [80]
    Park, Eunsu, Moon, Yong-Jae, Shin, Seulki, Yi, Kangwoo, Lim, Daye, Lee, Harim & Shin, Gyungin, ApJ, 869, 91

2016

  1. Observational test of empirical magnetopause location models using geosynchronous satellite data [3]
    Park, Eunsu, Moon, Y.-J. & Lee, Kangjin, Journal of Geophysical Research (Space Physics), 121, 10,994

Created on Wed Apr 8 04:28:35 2026.