In‐Hyuk Kwon

690 total citations
31 papers, 489 citations indexed

About

In‐Hyuk Kwon is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, In‐Hyuk Kwon has authored 31 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Atmospheric Science, 20 papers in Global and Planetary Change and 6 papers in Environmental Engineering. Recurrent topics in In‐Hyuk Kwon's work include Meteorological Phenomena and Simulations (21 papers), Climate variability and models (18 papers) and Tropical and Extratropical Cyclones Research (8 papers). In‐Hyuk Kwon is often cited by papers focused on Meteorological Phenomena and Simulations (21 papers), Climate variability and models (18 papers) and Tropical and Extratropical Cyclones Research (8 papers). In‐Hyuk Kwon collaborates with scholars based in South Korea, United States and Germany. In‐Hyuk Kwon's co-authors include Hyeong‐Bin Cheong, Young Cheol Kwon, Vijay Tallapragada, Qingfu Liu, Chanh Kieu, Hyo‐Jong Song, Zhan Zhang, Samuel Trahan, Junghan Kim and Song‐You Hong and has published in prestigious journals such as Journal of Computational Physics, Monthly Weather Review and Bulletin of the American Meteorological Society.

In The Last Decade

In‐Hyuk Kwon

26 papers receiving 460 citations

Peers

In‐Hyuk Kwon

GPC

OCEAN

M. A. Tolstykh Russia

Shu‐Chih Yang United States

Bryce E. Harrop United States

Yvon Lemaître France

Radmila Brožková Czechia

Yanke Tan China

Lígia Bernardet United States

Soyoung Ha United States

Alain Caya Canada

Laure Coquart France

M. A. Tolstykh Russia

In‐Hyuk Kwon

318 ×0.7

253 ×0.8

GPC

54 ×0.4

OCEAN

44 ×0.8

48 ×3.4

Citations per year, relative to In‐Hyuk Kwon In‐Hyuk Kwon (= 1×) peers M. A. Tolstykh

Countries citing papers authored by In‐Hyuk Kwon

Since Specialization

Citations

This map shows the geographic impact of In‐Hyuk Kwon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by In‐Hyuk Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In‐Hyuk Kwon more than expected).

Fields of papers citing papers by In‐Hyuk Kwon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In‐Hyuk Kwon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by In‐Hyuk Kwon. The network helps show where In‐Hyuk Kwon may publish in the future.

Co-authorship network of co-authors of In‐Hyuk Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of In‐Hyuk Kwon. A scholar is included among the top collaborators of In‐Hyuk Kwon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with In‐Hyuk Kwon. In‐Hyuk Kwon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kwon, Yonghwan, et al.. (2024). Improving weather forecast skill of the Korean Integrated Model by assimilating Soil Moisture Active Passive soil moisture anomalies. Quarterly Journal of the Royal Meteorological Society. 150(765). 5305–5336. 3 indexed citations

Kwon, In‐Hyuk, et al.. (2024). Development of All-Sky Assimilation of Microwave Imager Radiance in the Korean Integrated Model. 5714–5717.

Kang, J. S., et al.. (2024). Observation impact explanation in atmospheric state estimation using hierarchical message-passing graph neural networks^*. Machine Learning Science and Technology. 5(4). 45036–45036. 1 indexed citations

Sohn, Byung‐Ju, Rasmus Tonboe, In‐Hyuk Kwon, et al.. (2023). Explicitly determined sea ice emissivity and emission temperature over the Arctic for surface‐sensitive microwave channels. Quarterly Journal of the Royal Meteorological Society. 149(754). 2011–2030. 5 indexed citations

Song, Hyo‐Jong, et al.. (2022). Impacts of Aeolus horizontal Line‐Of‐Sight (HLOS) wind assimilation on the Korean integrated model (KIM) forecast system. Atmospheric Science Letters. 24(3). 2 indexed citations

Song, Hyo‐Jong, et al.. (2020). A Tropical Cyclone Initialization in Multi-Scale Localization with Hybrid Four Dimensional Ensemble-Variational System: Preliminary Results. SOLA. 16(0). 145–150. 2 indexed citations

Song, Hyo‐Jong, et al.. (2020). All‐sky microwave humidity sounder assimilation in the Korean Integrated Model forecast system. Quarterly Journal of the Royal Meteorological Society. 146(732). 3570–3586. 11 indexed citations

Song, Hyo‐Jong, et al.. (2018). Multi-resolution Hybrid Data Assimilation Core on a Cubed-sphere Grid (HybDA). Asia-Pacific Journal of Atmospheric Sciences. 54(S1). 337–350. 9 indexed citations

Song, Hyo‐Jong, et al.. (2018). Development of an Observation Processing Package for Data Assimilation in KIAPS. Asia-Pacific Journal of Atmospheric Sciences. 54(S1). 303–318. 20 indexed citations

10.

Hong, Song‐You, Young Cheol Kwon, Suk‐Jin Choi, et al.. (2018). The Korean Integrated Model (KIM) System for Global Weather Forecasting. Asia-Pacific Journal of Atmospheric Sciences. 54(S1). 267–292. 78 indexed citations

11.

Song, Hyo‐Jong, In‐Hyuk Kwon, & Junghan Kim. (2016). Characteristics of a Spectral Inverse of the Laplacian Using Spherical Harmonic Functions on a Cubed-Sphere Grid for Background Error Covariance Modeling. Monthly Weather Review. 145(1). 307–322. 10 indexed citations

12.

Kim, Jung‐Han, et al.. (2014). Progress in the development of the 3D-KIAPSGM Framework. 한국기상학회 학술대회 논문집. 25–26. 1 indexed citations

13.

Cheong, Hyeong‐Bin, et al.. (2011). Tropical cyclone track and intensity prediction with a structure adjustable balanced vortex. Asia-Pacific Journal of Atmospheric Sciences. 47(3). 293–303. 4 indexed citations

14.

Kwon, In‐Hyuk, et al.. (2010). Structure change of Typhoon Nari (2007) in the weakening stage. Asia-Pacific Journal of Atmospheric Sciences. 46(3). 327–340. 4 indexed citations

15.

Kwon, In‐Hyuk & Hyeong‐Bin Cheong. (2009). Tropical Cyclone Initialization with a Spherical High-Order Filter and an Idealized Three-Dimensional Bogus Vortex. Monthly Weather Review. 138(4). 1344–1367. 47 indexed citations

16.

Cheong, Hyeong‐Bin & In‐Hyuk Kwon. (2007). Use of Aliased DFS Spectral Method for the Shallow Water Equations on the Sphere. Asia-Pacific Journal of Atmospheric Sciences. 43(4). 429–447. 2 indexed citations

17.

Cheong, Hyeong‐Bin & In‐Hyuk Kwon. (2006). Vertical Discretization with the Cubic Spline Interpolation for Global Primitive Equations. Asia-Pacific Journal of Atmospheric Sciences. 42(3). 193–208. 3 indexed citations

18.

Cheong, Hyeong‐Bin, et al.. (2005). Accuracy of the dynamical core with spectral method. 한국기상학회 학술대회 논문집. 90–91.

19.

Kwon, In‐Hyuk, et al.. (2004). Application of Double-Fourier-series Spectral Method to a Large Size Problem: Two-dimensional Simulations of the Shear Instability on the Sphere. Journal of the Meteorological Society of Japan Ser II. 82(5). 1301–1314. 4 indexed citations

20.

Cheong, Hyeong‐Bin, et al.. (2003). Further study on the high-order double-Fourier-series spectral filtering on a sphere. Journal of Computational Physics. 193(1). 180–197. 21 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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