Se‐Heon Jeong - Concepedia

Author

Se‐Heon Jeong

Chungnam National University ORCID

Also Known As

Se Heon Jeong, Se-Heon Jeong, Se‐Heon Jeong

Publications

189

Citations

H-Index

Concepts

All Affiliations

Chungnam National University Korea Astronomy and Space Science Institute Korea University of Science and Technology Kyung Hee University Johns Hopkins University Applied Physics Laboratory

About

Se‐Heon Jeong is an author at Chungnam National University specializing in geophysics, space weather, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	141
2	Climate Dynamics	3	3	89
3	Social Sciences	1	1	29
4	Data Science	1	1	35
5	Geography	1	1	29

Se‐Heon Jeong

Publications

168

Citations

H-Index

Page 1

	Year	Citations
The Observation and SD‐WACCM Simulation of Planetary Wave Activity in the Middle Atmosphere During the 2019 Southern Hemispheric Sudden Stratospheric Warming Wonseok Lee, In‐Sun Song, Jeong‐Han Kim, Journal of Geophysical Research Space Physics Upper AtmosphereEngineeringSh SswAtmospheric SoundingEarth Science	2021	45
Potential of Regional Ionosphere Prediction Using a Long Short‐Term Memory Deep‐Learning Algorithm Specialized for Geomagnetic Storm Period Jeong‐Heon Kim, Young‐Sil Kwak, Yong Ha Kim, Space Weather EngineeringLstm Quiet ModelLstm Storm ModelSolar-terrestrial InteractionEarth Science	2021	35
Assimilation of Multiple Data Types to a Regional Ionosphere Model With a 3D‐Var Algorithm (IDA4D) Chalachew Kindie Mengist, Nicholas Ssessanga, Se‐Heon Jeong, Space Weather Upper AtmosphereEngineeringData AssimilationSocial SciencesEarth Science	2019	29
A statistical study on the <i>F</i><sub>2</sub> layer vertical variation during nighttime medium‐scale traveling ionospheric disturbances Nicholas Ssessanga, Yong Ha Kim, Se‐Heon Jeong Journal of Geophysical Research Space Physics GeophysicsUpper AtmosphereGeospace PhysicsVertical VariationPerturbation Component	2017	17
Deep Learning‐Based Regional Ionospheric Total Electron Content Prediction—Long Short‐Term Memory (LSTM) and Convolutional LSTM Approach Se‐Heon Jeong, Woo Kyoung Lee, H. Kil, Space Weather	2024	17
Regional Ionospheric Parameter Estimation by Assimilating the LSTM Trained Results Into the SAMI2 Model Jeong‐Heon Kim, Young‐Sil Kwak, Yong Ha Kim, Space Weather GeophysicsUpper AtmosphereGeospace PhysicsData AssimilationEngineering	2020	15
Reconstruction of the Regional Total Electron Content Maps Over the Korean Peninsula Using Deep Convolutional Generative Adversarial Network and Poisson Blending Se‐Heon Jeong, Woo Kyoung Lee, Soojeong Jang, Space Weather	2022	10

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