Min-Jung Lee

967 citations
63 papers · 767 indexed · h-index 16

Min-Jung Lee

57 papers receiving 739 citations

Peers

Min-Jung Lee
Comparison fields: 5 of 76
  • Fluid Flow and Transfer Processes 196
  • Computational Mechanics 220
  • Safety, Risk, Reliability and Quality 67
  • Materials Chemistry 292
  • Electronic, Optical and Magnetic Materials 99
Replace Aldo A. Peracchio with:
Aldo A. Peracchio United States
Marcos Vera Spain
Jae-Hyuk Choi South Korea
Xiangyu Meng China
Yu Pan China
C.H Chiang Taiwan
Leping Zhou China
Hatim Machrafi Belgium
Min-Jung Lee relative to Aldo A. Peracchio United States Aldo A. Peracchio's profile →
Citations per field
00.5×1.5×2.3×
Aldo A. Peracchio · 1×
Citations per year

Countries citing papers authored by Min-Jung Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Min-Jung Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Min-Jung Lee Line = papers co-authored together Min-Jung Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20250
5 20245
6 20244
7 20230
8 202210
9 202214
10 20194
11 20156
12 201342
13 20133
14 20114
15 20112
16
Experimental Study on the Edge Flame Stabilization and its Structure Nearby Quenching Limits in a High Temperature Channel
20100
17
Electrospun Silk Nano-Fiber Combined with Nano-Hydoxyapatite Graft for the Rabbit Calvarial Model
20102
18 200922
19 20082
20
Fast Color Classifier using Neural Networks on Robot Soccer System
20021

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), ZnO doping and properties (14 papers), Combustion and Detonation Processes (9 papers), Thin-Film Transistor Technologies (8 papers), Fire dynamics and safety research (8 papers), Ga2O3 and related materials (6 papers) and Gas Sensing Nanomaterials and Sensors (4 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 Combustion and Flame, Proceedings of the Combustion Institute, Building and Environment, Vacuum and Energies.

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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