Doyoon Lee
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
Papers in
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- Advanced Memory and Neural Computing 3
- Ferroelectric and Negative Capacitance Devices 3
- Particle Accelerators and Free-Electron Lasers 2
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- Graphene research and applications 4
- Co-authors
- Jeehwan Kim (7 shared papers)Feng Xu (2 shared papers)Yongmo Park (2 shared papers)Seyoung Kim (2 shared papers)Han‐Wool Yeon (2 shared papers)He Qian (2 shared papers)Scott H. Tan (2 shared papers)Peng Lin (2 shared papers)
- Journals
- Nature Nanotechnology (3 papers)Nano Letters (1 paper)Communications Materials (1 paper)ACS Nano (1 paper)Journal of Applied Physics (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Doyoon Lee
11 papers receiving 475 citations
Doyoon Lee's Hit Papers
Peers
Comparison fields: 5 of 37
- Cellular and Molecular Neuroscience 121
- Electrical and Electronic Engineering 342
- Materials Chemistry 225
- Polymers and Plastics 55
- Condensed Matter Physics 26
Countries citing papers authored by Doyoon Lee
This map shows the geographic impact of Doyoon 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 Doyoon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Doyoon Lee more than expected).
Fields of papers citing papers by Doyoon Lee
This network shows the impact of papers produced by Doyoon 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 Doyoon Lee. The network helps show where Doyoon Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Doyoon Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 218 | |
| 2 | The future of two-dimensional semiconductors beyond Moore’s law Hit paper breakdown → | 2024 | 140 |
| 3 | 2021 | 49 | |
| 4 | 2021 | 28 | |
| 5 | 2021 | 19 | |
| 6 | 2024 | 15 | |
| 7 | 2020 | 4 | |
| 8 | 2015 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2017 | 1 | |
| 11 | 2020 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2020 | 0 | |
| 14 | 2024 | 0 |
About Doyoon Lee
Doyoon Lee is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Aerospace Engineering, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 14 papers that have together received 482 indexed citations. Recurring topics across this work include Graphene research and applications (4 papers), Particle accelerators and beam dynamics (3 papers), Advanced Memory and Neural Computing (3 papers), Ferroelectric and Negative Capacitance Devices (3 papers), Nanowire Synthesis and Applications (2 papers), Particle Accelerators and Free-Electron Lasers (2 papers), Ga2O3 and related materials (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (121 citations), Electrical and Electronic Engineering (342 citations), Materials Chemistry (225 citations), Polymers and Plastics (55 citations) and Condensed Matter Physics (26 citations). Doyoon Lee has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Jeehwan Kim, Feng Xu, Yongmo Park, Seyoung Kim, Han‐Wool Yeon, He Qian, Scott H. Tan, Peng Lin, Huaqiang Wu and Jae Yong Lee. Their work appears in journals such as Nature Nanotechnology, Nano Letters, Communications Materials, ACS Nano 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.