Min Kyu Yang
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 10%
- Polymers and Plastics top 10%
- Materials Chemistry
- Cognitive Neuroscience
- Co-authors
- Jeon-Kook LeeGun Hwan KimHyunsu JuDoo Seok JeongJeeson KimJae-Wan ParkRainer WaserIlia Valov
- Topics
- Advanced Memory and Neural Computing (16 papers)Ferroelectric and Negative Capacitance Devices (6 papers)Transition Metal Oxide Nanomaterials (5 papers)
- Cited by
- Polymers and PlasticsElectrical and Electronic EngineeringCellular and Molecular Neuroscience
- Partner nations
- South KoreaGermanyChina
In The Last Decade
Min Kyu Yang
20 papers receiving 508 citations
Hit Papers
Peers
Comparison fields: 5 of 35
- Electrical and Electronic Engineering 492
- Cellular and Molecular Neuroscience 137
- Polymers and Plastics 122
- Materials Chemistry 108
- Cognitive Neuroscience 41
Countries citing papers authored by Min Kyu Yang
This map shows the geographic impact of Min Kyu Yang'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 Kyu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Kyu Yang more than expected).
Fields of papers citing papers by Min Kyu Yang
This network shows the impact of papers produced by Min Kyu Yang. 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 Kyu Yang. The network helps show where Min Kyu Yang may publish in the future.
Co-authorship network of co-authors of Min Kyu Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Min Kyu Yang. A scholar is included among the top collaborators of Min Kyu Yang 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 Kyu Yang. Min Kyu Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Purely self-rectifying memristor-based passive crossbar array for artificial neural network acceleratorsbreakdown → | 56 |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 91 | |
| 7 | 21 | |
| 8 | 11 | |
| 9 | 58 | |
| 10 | 5 | |
| 11 | 27 | |
| 12 | 2 | |
| 13 | Effects of MoO3 Amounts on Sintering and Electrical Properties of Ce0.8Nd0.2O1.9 | 2 |
| 14 | 64 | |
| 15 | 110 | |
| 16 | 11 | |
| 17 | 18 | |
| 18 | Temperature-dependent switching current of Cr-doped SrZrO3/SrRuO3 deposited for ReRAM applications by using PLD | 3 |
| 19 | 22 | |
| 20 | 8 |
About Min Kyu Yang
Min Kyu Yang is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering and Materials Chemistry, having authored 20 papers that have together received 516 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (16 papers), Ferroelectric and Negative Capacitance Devices (6 papers) and Transition Metal Oxide Nanomaterials (5 papers). The work is most often cited by research in Polymers and Plastics (122 citations), Electrical and Electronic Engineering (492 citations) and Cellular and Molecular Neuroscience (137 citations). Min Kyu Yang has collaborated with scholars based in South Korea, Germany and China. Frequent co-authors include Jeon-Kook Lee, Gun Hwan Kim, Hyunsu Ju, Doo Seok Jeong, Jeeson Kim, Jae-Wan Park, Rainer Waser, Ilia Valov, Stephan Menzel and Michael Lübben. Their work appears in journals such as Nature Communications, Applied Physics Letters and Journal of Applied Physics.
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.