Publications of Eunsu Park ordered by citations

A list of publications authored or co-authored by Eunsu Park, derived from the SAO/NASA Astrophysics Data System (ADS) and ordered by the numbers of citations.

Orcid ID: 0000-0003-0969-286X

90	Solar farside magnetograms from deep learning analysis of STEREO/EUVI data 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, 2019, Nature Astronomy, 3, 397
80	Application of the Deep Convolutional Neural Network to the Forecast of Solar Flare Occurrence Using Full-disk Solar Magnetograms Park, Eunsu, Moon, Yong-Jae, Shin, Seulki, Yi, Kangwoo, Lim, Daye, Lee, Harim & Shin, Gyungin, 2018, ApJ, 869, 91
47	One-Day Forecasting of Global TEC Using a Novel Deep Learning Model Lee, Sujin, Ji, Eun-Young, Moon, Yong-Jae & Park, Eunsu, 2021, Space Weather, 19, e2020SW002600
46	Solar Coronal Magnetic Field Extrapolation from Synchronic Data with AI-generated Farside Jeong, Hyun-Jin, Moon, Yong-Jae, Park, Eunsu & Lee, Harim, 2020, ApJ, 903, L25
41	Generation of Solar UV and EUV Images from SDO/HMI Magnetograms by Deep Learning Park, Eunsu, Moon, Yong-Jae, Lee, Jin-Yi, Kim, Rok-Soon, Lee, Harim, Lim, Daye, Shin, Gyungin & Kim, Taeyoung, 2019, ApJ, 884, L23
32	Improved AI-generated Solar Farside Magnetograms by STEREO and SDO Data Sets and Their Release Jeong, Hyun-Jin, Moon, Yong-Jae, Park, Eunsu, Lee, Harim & Baek, Ji-Hye, 2022, ApJS, 262, 50
30	Visual Explanation of a Deep Learning Solar Flare Forecast Model and Its Relationship to Physical Parameters Yi, Kangwoo, Moon, Yong-Jae, Lim, Daye, Park, Eunsu & Lee, Harim, 2021, ApJ, 910, 8
29	Generation of High-resolution Solar Pseudo-magnetograms from Ca II K Images by Deep Learning Shin, Gyungin, Moon, Yong-Jae, Park, Eunsu, Jeong, Hyunjin, Lee, Harim & Bae, Sung-Ho, 2020, ApJ, 895, L16
27	Super-resolution of SDO/HMI Magnetograms Using Novel Deep Learning Methods Rahman, Sumiaya, Moon, Yong-Jae, Park, Eunsu, Siddique, Ashraf, Cho, Il-Hyun & Lim, Daye, 2020, ApJ, 897, L32
26	Nighttime Reflectance Generation in the Visible Band of Satellites Kim, Kimoon, Kim, Ji-Hye, Moon, Yong-Jae, Park, Eunsu, Shin, Gyungin, Kim, Taeyoung, Kim, Yerin & Hong, Sungwook, 2019, Remote Sensing, 11, 2087
26	Improvement of IRI Global TEC Maps by Deep Learning Based on Conditional Generative Adversarial Networks Ji, Eun-Young, Moon, Yong-Jae & Park, Eunsu, 2020, Space Weather, 18, e02411
19	De-noising SDO/HMI Solar Magnetograms by Image Translation Method Based on Deep Learning Park, Eunsu, Moon, Yong-Jae, Lim, Daye & Lee, Harim, 2020, ApJ, 891, L4
17	Forecast of Daily Major Flare Probability Using Relationships between Vector Magnetic Properties and Flaring Rates Lim, Daye, Moon, Yong-Jae, Park, Jeongyeob, Park, Eunsu, Lee, Kangjin, Lee, Jin-Yi & Jang, Soojeong, 2019, Journal of Korean Astronomical Society, 52, 133
15	Generation of He I 1083 nm Images from SDO AIA Images by Deep Learning Son, Jihyeon, Cha, Junghun, Moon, Yong-Jae, Lee, Harim, Park, Eunsu, Shin, Gyungin & Jeong, Hyun-Jin, 2021, ApJ, 920, 101
11	Generation of Modern Satellite Data from Galileo Sunspot Drawings in 1612 by Deep Learning Lee, Harim, Park, Eunsu & Moon, Yong-Jae, 2021, ApJ, 907, 118
9	Selection of Three (Extreme)Ultraviolet Channels for Solar Satellite Missions by Deep Learning Lim, Daye, Moon, Yong-Jae, Park, Eunsu & Lee, Jin-Yi, 2021, ApJ, 915, L31
8	Ensemble Forecasting of Major Solar Flares with Short-, Mid-, and Long-term Active Region Properties Lim, Daye, Moon, Yong-Jae, Park, Eunsu, Park, Jongyeob, Lee, Kangjin, Lee, Jin-Yi & Jang, Soojeong, 2019, ApJ, 885, 35
7	Generation of Solar Coronal White-light Images from SDO/AIA EUV Images by Deep Learning Lawrance, Bendict, Lee, Harim, Park, Eunsu, Cho, Il-Hyun, Moon, Yong-Jae, Lee, Jin-Yi, Shanmugaraju, A. & Rahman, Sumiaya, 2022, ApJ, 937, 111
6	Scientific Perspectives of the Heliophysics L4 Mission by Remote-Sensing Observations 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, 2024, Journal of Korean Astronomical Society, 57, 35
5	Fast Reconstruction of 3D Density Distribution around the Sun Based on the MAS by Deep Learning Rahman, Sumiaya, Shin, Seungheon, Jeong, Hyun-Jin, Siddique, Ashraf, Moon, Yong-Jae, Park, Eunsu, Kang, Jihye & Bae, Sung-Ho, 2023, ApJ, 948, 21
5	Application of Deep Learning to Solar and Space Weather Data 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, 2023, The Era of Multi-Messenger Solar Physics (Editors: Cauzzi, Gianna & Tritschler, Alexandra), IAU Symposium, 372, p. 131
4	Three-dimensional Oscillations of 21 Halo Coronal Mass Ejections Using Multi-spacecraft Data Lee, Harim, Moon, Y.-J., Nakariakov, V. M., Na, Hyeonock, Cho, Il-Hyun & Park, Eunsu, 2018, ApJ, 868, 18
4	Deep Learning-based Fast Spectral Inversion of Hα and Ca II 8542 Line Spectra Lee, Kyoung-Sun, Chae, Jongchul, Park, Eunsu, Moon, Yong-Jae, Kwak, Hannah & Cho, Kyuhyoun, 2022, ApJ, 940, 147
3	Pixel-to-pixel Translation of Solar Extreme-ultraviolet Images for DEMs by Fully Connected Networks Park, Eunsu, Lee, Harim, Moon, Yong-Jae, Lee, Jin-Yi, Cho, Il-Hyun, Lee, Kyoung-Sun, Lim, Daye, Jeong, Hyun-Jin & Lee, Jae-Ok, 2023, ApJS, 264, 33
3	Can we properly determine differential emission measures from Solar Orbiter/EUI/FSI with deep learning? Youn, Junmu, Lee, Harim, Jeong, Hyun-Jin, Lee, Jin-Yi, Park, Eunsu & Moon, Yong-Jae, 2025, A&A, 695, A125
3	Observational test of empirical magnetopause location models using geosynchronous satellite data Park, Eunsu, Moon, Y.-J. & Lee, Kangjin, 2016, Journal of Geophysical Research (Space Physics), 121, 10,994
2	Inference of magnetic field during the Dalton minimum: Case study with recorded sunspot areas Uneme, Shoma, Imada, Shinsuke, Lee, Harim, Park, Eunsu, Hayakawa, Hisashi, Iju, Tomoya & Moon, Yong-Jae, 2022, Publications of the Astronomical Society of Japan, 74, 767
2	Reply to: Reliability of AI-generated magnetograms from only EUV images Park, Eunsu, Jeong, Hyun-Jin, Lee, Harim, Kim, Taeyoung & Moon, Yong-Jae, 2021, Nature Astronomy, 5, 111
1	Artificial-intelligence-based Reconstruction of Solar Farside Vector Magnetograms from Multispacecraft Extreme-ultraviolet Data 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, 2025, ApJS, 281, 63
0	Automatic Detection of Type II Solar Radio Burst by Using 1-D Convolution Neutral Network Cho, Kyung-Suk, Kim, Junyoung, Kim, Rok-Soon, Park, Eunsu, Kubo, Yûki & Iwai, Kazumasa, 2023, Journal of Korean Astronomical Society, 56, 213