Publications of Harim Lee

A list of publications authored or co-authored by Harim Lee, 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: 0000-0002-9300-8073

List of publications ordered by citations
Number of papers: 33 (refereed: 31)
No. of citations: 564
First author papers: 4 (refereed: 4)

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. 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
  3. 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. Recurrently Propagating Intensity Disturbances along Polar Plumes Observed in White Light and Extreme Ultraviolet [1]
    Cho, Il-Hyun, Moon, Yong-Jae, Lee, Jin-Yi, An, Junmo, Yu, Dae Jung, Cho, Kyung-Suk, Lee, Harim & Lee, Jae-Ok, ApJ, 961, 128
  2. 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
  3. 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
  4. 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. 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
  2. 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
  3. 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

2022

  1. Kinematic Classification of Coronal Mass Ejections in LASCO C3 Field of View [0]
    Jeon, Seong-Gyeong, Moon, Yong-Jae, Cho, Il-Hyun, Lee, Harim & Yi, Kangwoo, Journal of Korean Astronomical Society, 55, 67
  2. 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
  3. 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
  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. Kinematic Oscillations of Post-CME Blobs Detected by K-Cor on 2017 September 10 [2]
    Lee, Jae-Ok, Cho, Kyung-Suk, Nakariakov, Valery M., Lee, Harim, Kim, Rok-Soon, Jang, Soojeong, Yang, Heesu, Kim, Sujin & Kim, Yeon-Han, Journal of Korean Astronomical Society, 54, 61
  3. 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
  4. 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
  5. 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. Accelerating and Supersonic Density Fluctuations in Coronal Hole Plumes: Signature of Nascent Solar Winds [7]
    Cho, Il-Hyun, Nakariakov, Valery M., Moon, Yong-Jae, Lee, Jin-Yi, Yu, Dae Jung, Cho, Kyung-Suk, Yurchyshyn, Vasyl & Lee, Harim, ApJ, 900, L19
  2. 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
  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. 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. 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
  2. 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. Two-Dimensional Solar Wind Speeds from 6 to 26 Solar Radii in Solar Cycle 24 by Using Fourier Filtering [28]
    Cho, Il-Hyun, Moon, Yong-Jae, Nakariakov, Valery M., Bong, Su-Chan, Lee, Jin-Yi, Song, Donguk, Lee, Harim & Cho, Kyung-Suk, Physical Review Letters, 121, 075101
  2. 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
  3. 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

2017

  1. Development of a Full Ice-cream Cone Model for Halo Coronal Mass Ejections [14]
    Na, Hyeonock, Moon, Y.-J. & Lee, Harim, ApJ, 839, 82
  2. Dependence of the Peak Fluxes of Solar Energetic Particles on CME 3D Parameters from STEREO and SOHO [6]
    Park, Jinhye, Moon, Y.-J. & Lee, Harim, ApJ, 844, 17

2016

  1. Comparison between 2D and 3D Parameters of 306 Front-side Halo CMEs from 2009 to 2013 [27]
    Jang, Soojeong, Moon, Y.-J., Kim, R.-S., Lee, Harim & Cho, K.-S., ApJ, 821, 95

2015

  1. Are 3-D coronal mass ejection parameters from single-view observations consistent with multiview ones? [20]
    Lee, Harim, Moon, Y.-J., Na, Hyeonock, Jang, Soojeong & Lee, Jae-Ok, Journal of Geophysical Research (Space Physics), 120, 10,237
  2. Radial and Azimuthal Oscillations of Halo Coronal Mass Ejections in the Sun [15]
    Lee, Harim, Moon, Y.-J. & Nakariakov, V. M., ApJ, 803, L7

Created on Wed Apr 8 04:37:23 2026.