Jongil Han

2.3k total citations · 1 hit paper
38 papers, 1.8k citations indexed

About

Jongil Han is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Jongil Han has authored 38 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Atmospheric Science, 23 papers in Global and Planetary Change and 13 papers in Environmental Engineering. Recurrent topics in Jongil Han's work include Meteorological Phenomena and Simulations (25 papers), Climate variability and models (21 papers) and Wind and Air Flow Studies (12 papers). Jongil Han is often cited by papers focused on Meteorological Phenomena and Simulations (25 papers), Climate variability and models (21 papers) and Wind and Air Flow Studies (12 papers). Jongil Han collaborates with scholars based in United States, South Korea and United Kingdom. Jongil Han's co-authors include Hua‐Lu Pan, John O. Roads, Fred Proctor, Yun Qian, L. Ruby Leung, Xindi Bian, Warren M. Washington, Christopher S. Bretherton, Song‐You Hong and S. Pal Arya and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, International Journal of Hydrogen Energy and Journal of the Atmospheric Sciences.

In The Last Decade

Jongil Han

37 papers receiving 1.7k citations

Hit Papers

Revision of Convection and Vertical Diffusion Schemes in ... 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jongil Han United States 19 1.4k 1.3k 252 235 176 38 1.8k
G. S. Bhat India 20 965 0.7× 1.1k 0.8× 111 0.4× 133 0.6× 106 0.6× 90 1.5k
Kalli Furtado United Kingdom 22 1.3k 1.0× 1.4k 1.1× 80 0.3× 172 0.7× 43 0.2× 62 1.8k
Juerg Schmidli Germany 20 2.3k 1.7× 2.4k 1.9× 387 1.5× 121 0.5× 63 0.4× 47 2.8k
João Teixeira United States 23 1.8k 1.3× 2.1k 1.6× 418 1.7× 107 0.5× 70 0.4× 67 2.6k
Robert L. Grossman United States 24 1.1k 0.8× 1.2k 0.9× 375 1.5× 118 0.5× 52 0.3× 50 1.5k
G. Dalu Italy 21 1.2k 0.9× 1.2k 0.9× 365 1.4× 69 0.3× 138 0.8× 74 1.7k
Thomas Haiden United Kingdom 22 1.2k 0.9× 1.2k 0.9× 324 1.3× 27 0.1× 99 0.6× 60 1.7k
Jean Dessens France 27 1.1k 0.8× 1.1k 0.9× 227 0.9× 63 0.3× 48 0.3× 46 1.5k
P. Lacarrère France 20 1.7k 1.2× 1.6k 1.2× 901 3.6× 239 1.0× 54 0.3× 33 2.3k
Elena García‐Bustamante Spain 18 1.9k 1.4× 1.6k 1.2× 568 2.3× 39 0.2× 305 1.7× 44 2.3k

Countries citing papers authored by Jongil Han

Since Specialization
Citations

This map shows the geographic impact of Jongil Han'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 Jongil Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jongil Han more than expected).

Fields of papers citing papers by Jongil Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jongil Han. 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 Jongil Han. The network helps show where Jongil Han may publish in the future.

Co-authorship network of co-authors of Jongil Han

This figure shows the co-authorship network connecting the top 25 collaborators of Jongil Han. A scholar is included among the top collaborators of Jongil Han 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 Jongil Han. Jongil Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Han, Jongil, et al.. (2025). Economic analysis of intercontinentally shipped green liquid hydrogen based on basic design of facilities in supply chain. International Journal of Hydrogen Energy. 113. 39–49. 2 indexed citations
2.
Hong, Song‐You, Jian‐Wen Bao, Sara Michelson, et al.. (2025). Revisions to the Subgrid Orographic Parameterization of the NCEP Global Forecast System (GFS). Weather and Forecasting. 40(6). 901–913. 1 indexed citations
3.
Zhu, Ping, Xuejin Zhang, Jun A. Zhang, et al.. (2025). Toward a unified parameterization of three dimensional turbulent transport in high resolution numerical weather prediction models. npj Climate and Atmospheric Science. 8(1).
4.
Han, Jongil, et al.. (2024). Revisiting the cost analysis of importing liquefied green hydrogen. International Journal of Hydrogen Energy. 82. 817–827. 8 indexed citations
5.
Kim, Sehoon, et al.. (2024). Technical feasibility of large-scale transportable liquid hydrogen export terminal. International Journal of Hydrogen Energy. 66. 499–511. 7 indexed citations
6.
Bengtsson, Lisa & Jongil Han. (2024). Updates to NOAA’s Unified Forecast System’s Cumulus Convection Parameterization Scheme between GFSv16 and GFSv17. Weather and Forecasting. 39(11). 1559–1570. 4 indexed citations
8.
Lin, Jialin, Taotao Qian, Peter Bechtold, et al.. (2022). Atmospheric Convection. ATMOSPHERE-OCEAN. 60(3-4). 422–476. 18 indexed citations
9.
Han, Ji‐Young, Song‐You Hong, Kyo‐Sun Sunny Lim, & Jongil Han. (2016). Sensitivity of a Cumulus Parameterization Scheme to Precipitation Production Representation and Its Impact on a Heavy Rain Event over Korea. Monthly Weather Review. 144(6). 2125–2135. 48 indexed citations
10.
Lim, Kyo‐Sun Sunny, Song‐You Hong, Jin‐Ho Yoon, & Jongil Han. (2014). Simulation of the Summer Monsoon Rainfall over East Asia Using the NCEP GFS Cumulus Parameterization at Different Horizontal Resolutions. Weather and Forecasting. 29(5). 1143–1154. 41 indexed citations
11.
Han, Jongil & Hua‐Lu Pan. (2006). Sensitivity of Hurricane Intensity Forecast to Convective Momentum Transport Parameterization. Monthly Weather Review. 134(2). 664–674. 45 indexed citations
12.
Leung, L. Ruby, Yun Qian, Xindi Bian, et al.. (2004). Mid-Century Ensemble Regional Climate Change Scenarios for the Western United States. Climatic Change. 62(1-3). 75–113. 320 indexed citations
13.
Han, Jongil, et al.. (2000). Within Homogeneous Turbulence: Crow Instability Large Eddy Simulation of Aircraft Wake Vortices. AIAA Journal. 38(2). 292–300. 34 indexed citations
14.
Han, Jongil, et al.. (2000). Numerical study of wake vortex decay and descent in homogeneous atmospheric turbulence. AIAA Journal. 38. 643–656. 1 indexed citations
15.
Lin, Yuh‐Lang, Jongil Han, Jing Zhang, et al.. (2000). Large eddy simulation of wake vortices in the convective boundary layer. 38th Aerospace Sciences Meeting and Exhibit. 7 indexed citations
16.
Proctor, Fred & Jongil Han. (1999). Numerical study of wake vortex interaction with the ground using the terminal area simulation system. 37th Aerospace Sciences Meeting and Exhibit. 24 indexed citations
17.
Han, Jongil, et al.. (1999). Orographic Influence on a Drifting Cyclone. Journal of the Atmospheric Sciences. 56(4). 534–562. 73 indexed citations
18.
Han, Jongil. (1998). Large eddy simulations of aircraft wake vortices in a homogeneous atmospheric turbulence. 4180. 3 indexed citations
19.
Han, Jongil, et al.. (1997). Large Eddy Simulation of Aircraft Wake Vortices: Atmospheric Turbulence Effects. NASA Technical Reports Server (NASA). 10 indexed citations
20.
Niyogi, Dev, Sethu Raman, Kiran Alapaty, & Jongil Han. (1997). A dynamic statistical experiment for atmospheric interactions. Environmental Modeling & Assessment. 2(4). 307–322. 11 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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