Youngbin Tchoe
Impact in
- Condensed Matter Physics top 5%
- GaN-based semiconductor devices and materials
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- Neuroscience and Neural Engineering
Papers in
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- Neuroscience and Neural Engineering 15
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- GaN-based semiconductor devices and materials 7
- Co-authors
- Gyu‐Chul Yi (24 shared papers)Miyoung Kim (13 shared papers)Jung Hoon Han (1 shared paper)Hongseok Oh (10 shared papers)Kunook Chung (7 shared papers)Keundong Lee (14 shared papers)Janghyun Jo (8 shared papers)Hyobin Yoo (2 shared papers)
- Journals
- NPG Asia Materials (7 papers)APL Materials (3 papers)Nano Energy (3 papers)Science Translational Medicine (3 papers)Scientific Reports (3 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Youngbin Tchoe
44 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 39
- Condensed Matter Physics 212
- Cellular and Molecular Neuroscience 244
- Biomedical Engineering 158
- Atomic and Molecular Physics, and Optics 107
- Materials Chemistry 137
Countries citing papers authored by Youngbin Tchoe
This map shows the geographic impact of Youngbin Tchoe'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 Youngbin Tchoe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngbin Tchoe more than expected).
Fields of papers citing papers by Youngbin Tchoe
This network shows the impact of papers produced by Youngbin Tchoe. 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 Youngbin Tchoe. The network helps show where Youngbin Tchoe may publish in the future.
Co-authors
The 25 scholars most cited alongside Youngbin Tchoe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 110 | |
| 2 | 2012 | 101 | |
| 3 | 2022 | 100 | |
| 4 | 2020 | 80 | |
| 5 | 2016 | 78 | |
| 6 | 2019 | 70 | |
| 7 | 2022 | 46 | |
| 8 | 2021 | 45 | |
| 9 | 2024 | 45 | |
| 10 | 2021 | 43 | |
| 11 | 2014 | 41 | |
| 12 | 2022 | 40 | |
| 13 | 2018 | 36 | |
| 14 | 2021 | 36 | |
| 15 | 2016 | 28 | |
| 16 | 2018 | 28 | |
| 17 | 2015 | 19 | |
| 18 | 2017 | 17 | |
| 19 | 2019 | 17 | |
| 20 | 2015 | 16 |
About Youngbin Tchoe
Youngbin Tchoe is a scholar working on Cellular and Molecular Neuroscience, Condensed Matter Physics, Biomedical Engineering, Materials Chemistry and Cognitive Neuroscience, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (15 papers), GaN-based semiconductor devices and materials (7 papers), ZnO doping and properties (6 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Advanced Memory and Neural Computing (2 papers), Nanowire Synthesis and Applications (2 papers), Analog and Mixed-Signal Circuit Design (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Condensed Matter Physics (212 citations), Cellular and Molecular Neuroscience (244 citations), Biomedical Engineering (158 citations), Atomic and Molecular Physics, and Optics (107 citations) and Materials Chemistry (137 citations). Youngbin Tchoe has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Gyu‐Chul Yi, Miyoung Kim, Jung Hoon Han, Hongseok Oh, Kunook Chung, Keundong Lee, Janghyun Jo, Hyobin Yoo, Hyeonjun Baek and Jerome Kartham Hyun. Their work appears in journals such as NPG Asia Materials, APL Materials, Nano Energy, Science Translational Medicine and Scientific Reports.
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.