Min‐Gu Kang
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics top 10%
- Materials Chemistry
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics top 10%
- Co-authors
- Byong‐Guk ParkKyoung‐Whan KimKyung‐Jin LeeSoogil LeeGi‐Hwan KangChurl‐Hee ChoYoung‐Soo AhnHee‐eun Song
- Topics
- Magnetic properties of thin films (15 papers)Advanced Memory and Neural Computing (9 papers)ZnO doping and properties (9 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsCondensed Matter PhysicsIndustrial and Manufacturing Engineering
- Partner nations
- South KoreaSwitzerlandJapan
In The Last Decade
Min‐Gu Kang
45 papers receiving 588 citations
Peers
Comparison fields: 5 of 61
- Electrical and Electronic Engineering 285
- Atomic and Molecular Physics, and Optics 272
- Materials Chemistry 167
- Electronic, Optical and Magnetic Materials 115
- Condensed Matter Physics 101
Countries citing papers authored by Min‐Gu Kang
This map shows the geographic impact of Min‐Gu Kang'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‐Gu Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min‐Gu Kang more than expected).
Fields of papers citing papers by Min‐Gu Kang
This network shows the impact of papers produced by Min‐Gu Kang. 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‐Gu Kang. The network helps show where Min‐Gu Kang may publish in the future.
Co-authorship network of co-authors of Min‐Gu Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Min‐Gu Kang. A scholar is included among the top collaborators of Min‐Gu Kang 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‐Gu Kang. Min‐Gu Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 8 | |
| 13 | 8 | |
| 14 | 14 | |
| 15 | 60 | |
| 16 | 55 | |
| 17 | 52 | |
| 18 | 10 | |
| 19 | Effect of Equivalence Ratio on the Combustion Characteristics in a CI Engine Fueled with Biodiesel | 0 |
| 20 | Integrated scheduling model for PVC process | 0 |
About Min‐Gu Kang
Min‐Gu Kang is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Structural Biology, having authored 54 papers that have together received 607 indexed citations. Recurring topics across this work include Magnetic properties of thin films (15 papers), Advanced Memory and Neural Computing (9 papers) and ZnO doping and properties (9 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (272 citations), Condensed Matter Physics (101 citations) and Industrial and Manufacturing Engineering (58 citations). Min‐Gu Kang has collaborated with scholars based in South Korea, Switzerland and Japan. Frequent co-authors include Byong‐Guk Park, Kyoung‐Whan Kim, Kyung‐Jin Lee, Soogil Lee, Gi‐Hwan Kang, Churl‐Hee Cho, Young‐Soo Ahn, Hee‐eun Song, Jun‐Kyu Lee and Yoon-Ho Choi. Their work appears in journals such as Physical Review Letters, Advanced Materials and Nature Communications.
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.