Jae Jun Jeong
- Aerospace Engineering top 1%
- Computational Mechanics top 2%
- Mechanical Engineering top 5%
- Biomedical Engineering top 10%
- Materials Chemistry
- Co-authors
- K. S. HaHyoung Kyu ChoByongjo YunHan Young YoonTakashi HibikiAbhinav DixitJ. Enrique JuliáBasar Ozar
- Topics
- Nuclear Engineering Thermal-Hydraulics (77 papers)Heat Transfer and Boiling Studies (37 papers)Nuclear reactor physics and engineering (34 papers)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Jae Jun Jeong
108 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 52
- Aerospace Engineering 722
- Computational Mechanics 419
- Mechanical Engineering 406
- Biomedical Engineering 324
- Materials Chemistry 278
Countries citing papers authored by Jae Jun Jeong
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 16 | |
| 16 | 7 | |
| 17 | 16 | |
| 18 | HYDRODYNAMIC SOLVER FOR A TRANSIENT, TWO-FLUID, THREE-FIELD MODEL ON UNSTRUCTURED GRIDS | 0 |
| 19 | HOT CHANNEL ANALYSIS CAPABILITY OF THE BEST-ESTIMATE MULTI-DIMENSIONAL SYSTEM CODE, MARS 3.0 | 5 |
| 20 | Improvement of liquid droplet entrainment model in the COBRA-TF code | 7 |
About Jae Jun Jeong
Jae Jun Jeong is a scholar working on Aerospace Engineering, Computational Mechanics and Mechanical Engineering, having authored 119 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nuclear Engineering Thermal-Hydraulics (77 papers), Heat Transfer and Boiling Studies (37 papers) and Nuclear reactor physics and engineering (34 papers). The work is most often cited by research in Aerospace Engineering (722 citations), Computational Mechanics (419 citations) and Mechanical Engineering (406 citations). Jae Jun Jeong has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include K. S. Ha, Hyoung Kyu Cho, Byongjo Yun, Han Young Yoon, Takashi Hibiki, Abhinav Dixit, J. Enrique Juliá, Basar Ozar, Jae Ryong Lee and Mamoru Ishii. Their work appears in journals such as Food Chemistry, International Journal of Heat and Mass Transfer and Chemical Engineering Science.
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.