Jae Jun Jeong

1.5k total citations
119 papers, 1.1k citations indexed

About

Jae Jun Jeong is a scholar working on Aerospace Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Jae Jun Jeong has authored 119 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Aerospace Engineering, 51 papers in Computational Mechanics and 46 papers in Mechanical Engineering. Recurrent topics in Jae Jun Jeong's work include Nuclear Engineering Thermal-Hydraulics (77 papers), Heat Transfer and Boiling Studies (37 papers) and Nuclear reactor physics and engineering (34 papers). Jae Jun Jeong is often cited by papers focused on Nuclear Engineering Thermal-Hydraulics (77 papers), Heat Transfer and Boiling Studies (37 papers) and Nuclear reactor physics and engineering (34 papers). Jae Jun Jeong collaborates with scholars based in South Korea, United States and Germany. Jae Jun Jeong's co-authors include K. S. Ha, Hyoung Kyu Cho, Byongjo Yun, Han Young Yoon, Takashi Hibiki, J. Enrique Juliá, Abhinav Dixit, Basar Ozar, Jae Ryong Lee and Mamoru Ishii and has published in prestigious journals such as Food Chemistry, International Journal of Heat and Mass Transfer and Chemical Engineering Science.

In The Last Decade

Jae Jun Jeong

108 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae Jun Jeong South Korea 17 722 419 406 324 278 119 1.1k
Goon-Cherl Park South Korea 17 682 0.9× 573 1.4× 593 1.5× 421 1.3× 242 0.9× 106 1.2k
P.K. Vijayan India 19 1.2k 1.6× 626 1.5× 606 1.5× 382 1.2× 247 0.9× 70 1.7k
D. Bestion France 14 498 0.7× 409 1.0× 262 0.6× 288 0.9× 168 0.6× 38 831
Hyoung Kyu Cho South Korea 15 545 0.8× 342 0.8× 294 0.7× 194 0.6× 229 0.8× 99 819
G.H. Su China 19 702 1.0× 382 0.9× 389 1.0× 137 0.4× 544 2.0× 86 1.1k
Chul-Hwa Song South Korea 25 1.2k 1.6× 715 1.7× 787 1.9× 663 2.0× 494 1.8× 101 1.9k
F. J. Moody United States 8 503 0.7× 260 0.6× 285 0.7× 211 0.7× 171 0.6× 31 798
A. Escrivá Spain 15 312 0.4× 322 0.8× 265 0.7× 251 0.8× 79 0.3× 57 781
Francesco Oriolo Italy 14 608 0.8× 246 0.6× 238 0.6× 91 0.3× 332 1.2× 88 876
Henryk Anglart Sweden 19 451 0.6× 849 2.0× 521 1.3× 587 1.8× 109 0.4× 105 1.2k

Countries citing papers authored by Jae Jun Jeong

Since Specialization
Citations

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

Fields of papers citing papers by Jae Jun Jeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae Jun Jeong. 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 Jae Jun Jeong. The network helps show where Jae Jun Jeong may publish in the future.

Co-authorship network of co-authors of Jae Jun Jeong

This figure shows the co-authorship network connecting the top 25 collaborators of Jae Jun Jeong. A scholar is included among the top collaborators of Jae Jun Jeong 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 Jae Jun Jeong. Jae Jun Jeong 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.
Jeong, Jae Jun, Jung Hye Kwon, Jiseon Lee, Jochen Weiß, & Mi‐Jung Choi. (2025). Enhancing the stability of xanthan/locust bean gum–based double emulsions using canola and medium-chain triglyceride oils: Examination of physicochemical and thermal properties. Food Chemistry. 489. 145078–145078. 4 indexed citations
2.
Jeong, Jae Jun, et al.. (2024). Development of filmwise condensation model for steam–air mixture on vertical plates and tubes under free convection. International Communications in Heat and Mass Transfer. 157. 107782–107782.
3.
Bak, JinYeong, et al.. (2024). Mechanistic model of wall heat transfer for vertical subcooled boiling flow. International Communications in Heat and Mass Transfer. 160. 108389–108389.
4.
Ahn, Taehwan, et al.. (2024). Experimental investigation of the steam condensation heat transfer in the presence of non-condensable gas inside a vertical tube. International Communications in Heat and Mass Transfer. 161. 108407–108407. 2 indexed citations
5.
Bak, JinYeong, et al.. (2023). Experimental investigation of local two-phase parameters in a 4 × 4 rod bundle channel under a subcooled boiling flow. International Communications in Heat and Mass Transfer. 141. 106603–106603. 7 indexed citations
6.
Jeong, Jae Jun, et al.. (2023). Analysis of a Single Crystal Solidification Process of an Ni-based Superalloy using a CAFE Model. Korean Journal of Metals and Materials. 61(2). 126–136. 3 indexed citations
7.
Jeong, Jae Jun, et al.. (2022). Improvement of the critical heat flux correlation in a thermal-hydraulic system code for a downward-flow narrow rectangular channel. Nuclear Engineering and Technology. 54(10). 3962–3973. 2 indexed citations
8.
Jeong, Jae Jun, et al.. (2021). Improvement of the subcooled boiling model for the prediction of the onset of flow instability in an upward rectangular channel. Nuclear Engineering and Technology. 54(3). 1126–1135. 2 indexed citations
9.
Lee, Jong‐Hyuk, et al.. (2021). Development of a special thermal-hydraulic component model for the core makeup tank. Nuclear Engineering and Technology. 54(5). 1890–1901. 3 indexed citations
10.
Jeong, Jae Jun, et al.. (2019). Experimental investigation of droplet entrainment and deposition in horizontal stratified wavy flow. International Journal of Heat and Mass Transfer. 144. 118613–118613. 16 indexed citations
11.
Jeong, Jae Jun, et al.. (2018). Numerical prediction of a flashing flow of saturated water at high pressure. Nuclear Engineering and Technology. 50(7). 1173–1183. 7 indexed citations
12.
Lee, Dong Hyun, et al.. (2014). IMPROVEMENT OF THE LOCA PSA MODEL USING A BEST-ESTIMATE THERMAL-HYDRAULIC ANALYSIS. Nuclear Engineering and Technology. 46(4). 541–546. 11 indexed citations
13.
Hwang, Dae-Hyun, et al.. (2013). A subchannel and CFD analysis of void distribution for the BWR fuel bundle test benchmark. Nuclear Engineering and Design. 258. 211–225. 9 indexed citations
14.
Jeong, Jae Jun, et al.. (2012). Large Eddy Simulation of Turbulent Flow in a T-Junction. Numerical Heat Transfer Part A Applications. 61(3). 180–200. 16 indexed citations
15.
Cho, Hyoung Kyu, et al.. (2010). Implementation of a second-order upwind method in a semi-implicit two-phase flow code on unstructured meshes. Annals of Nuclear Energy. 37(4). 606–614. 4 indexed citations
16.
Son, Gihun, et al.. (2010). Numerical Analysis of Bubble Growth and Departure from a Microcavity. Numerical Heat Transfer Part B Fundamentals. 58(5). 323–342. 18 indexed citations
17.
Lee, Hee-Dong, Jae Jun Jeong, Hyoung Kyu Cho, & Han Young Yoon. (2010). An improved numerical scheme to evaluate the pressure gradient on unstructured meshes for two-phase flow analysis. International Communications in Heat and Mass Transfer. 37(9). 1273–1279. 3 indexed citations
18.
Jeong, Jae Jun, et al.. (2007). HYDRODYNAMIC SOLVER FOR A TRANSIENT, TWO-FLUID, THREE-FIELD MODEL ON UNSTRUCTURED GRIDS. Journal of computational fluids engineering. 12(4). 44–53.
19.
Jeong, Jae Jun, et al.. (2005). HOT CHANNEL ANALYSIS CAPABILITY OF THE BEST-ESTIMATE MULTI-DIMENSIONAL SYSTEM CODE, MARS 3.0. Nuclear Engineering and Technology. 37(5). 469–478. 5 indexed citations
20.
Jeong, Jae Jun, et al.. (1998). Improvement of liquid droplet entrainment model in the COBRA-TF code. Nuclear Engineering and Technology. 30(3). 181–193. 7 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026