Min-Jung Lee
- Materials Chemistry
- Electrical and Electronic Engineering
- Computational Mechanics top 5%
- Fluid Flow and Transfer Processes top 5%
- Aerospace Engineering top 10%
- Co-authors
- Nam Il KimHookyung LeeJae-Min MyoungYongjin JungChoon-Soo LeeJin‐Seong ParkSang‐Won KangWoong Lee
- Topics
- Combustion and flame dynamics (16 papers)Advanced Combustion Engine Technologies (16 papers)ZnO doping and properties (14 papers)
- Cited by
- Fluid Flow and Transfer ProcessesComputational MechanicsSafety, Risk, Reliability and Quality
- Partner nations
- South KoreaIndiaAustralia
In The Last Decade
Min-Jung Lee
57 papers receiving 739 citations
Peers
Comparison fields: 5 of 76
- Materials Chemistry 292
- Electrical and Electronic Engineering 277
- Computational Mechanics 220
- Fluid Flow and Transfer Processes 196
- Aerospace Engineering 100
Countries citing papers authored by Min-Jung Lee
This map shows the geographic impact of Min-Jung Lee'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 Min-Jung Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min-Jung Lee more than expected).
Fields of papers citing papers by Min-Jung Lee
This network shows the impact of papers produced by Min-Jung Lee. 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 Min-Jung Lee. The network helps show where Min-Jung Lee may publish in the future.
Co-authorship network of co-authors of Min-Jung Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Min-Jung Lee. A scholar is included among the top collaborators of Min-Jung Lee 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 Min-Jung Lee. Min-Jung Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 10 | |
| 9 | 14 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 42 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | Experimental Study on the Edge Flame Stabilization and its Structure Nearby Quenching Limits in a High Temperature Channel | 0 |
| 17 | Electrospun Silk Nano-Fiber Combined with Nano-Hydoxyapatite Graft for the Rabbit Calvarial Model | 2 |
| 18 | 22 | |
| 19 | 2 | |
| 20 | Fast Color Classifier using Neural Networks on Robot Soccer System | 1 |
About Min-Jung Lee
Min-Jung Lee is a scholar working on Fluid Flow and Transfer Processes, Safety, Risk, Reliability and Quality and Computational Mechanics, having authored 63 papers that have together received 767 indexed citations. Recurring topics across this work include Combustion and flame dynamics (16 papers), Advanced Combustion Engine Technologies (16 papers) and ZnO doping and properties (14 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (196 citations), Computational Mechanics (220 citations) and Safety, Risk, Reliability and Quality (67 citations). Min-Jung Lee has collaborated with scholars based in South Korea, India and Australia. Frequent co-authors include Nam Il Kim, Hookyung Lee, Jae-Min Myoung, Yongjin Jung, Choon-Soo Lee, Jin‐Seong Park, Sang‐Won Kang, Woong Lee, Vinod K. Aswal and Sugam Kumar. Their work appears in journals such as Advanced Materials, Angewandte Chemie International Edition and Applied Physics Letters.
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.