Dae Eun Kwon
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 18
- Ferroelectric and Negative Capacitance Devices 14
- Semiconductor materials and devices 4
- Gas Sensing Nanomaterials and Sensors 1
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- Transition Metal Oxide Nanomaterials 8
- Co-authors
- Cheol Seong Hwang (18 shared papers)Jung Ho Yoon (16 shared papers)Tae Hyung Park (13 shared papers)Kyung Jean Yoon (13 shared papers)Seul Ji Song (7 shared papers)Jun Yeong Seok (4 shared papers)Young Jae Kwon (12 shared papers)Yumin Kim (7 shared papers)
- Journals
- Advanced Electronic Materials (4 papers)Advanced Functional Materials (3 papers)ACS Applied Materials & Interfaces (3 papers)Nanoscale (3 papers)Advanced Materials (2 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Dae Eun Kwon
18 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 29
- Cellular and Molecular Neuroscience 588
- Electrical and Electronic Engineering 1.3k
- Polymers and Plastics 292
- Cognitive Neuroscience 126
- Materials Chemistry 211
Countries citing papers authored by Dae Eun Kwon
This map shows the geographic impact of Dae Eun Kwon'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 Dae Eun Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dae Eun Kwon more than expected).
Fields of papers citing papers by Dae Eun Kwon
This network shows the impact of papers produced by Dae Eun Kwon. 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 Dae Eun Kwon. The network helps show where Dae Eun Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Dae Eun Kwon, 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 | 2014 | 340 | |
| 2 | 2014 | 246 | |
| 3 | 2018 | 191 | |
| 4 | 2015 | 167 | |
| 5 | 2019 | 66 | |
| 6 | 2016 | 48 | |
| 7 | 2017 | 48 | |
| 8 | 2017 | 47 | |
| 9 | 2013 | 35 | |
| 10 | 2017 | 27 | |
| 11 | 2018 | 27 | |
| 12 | 2016 | 23 | |
| 13 | 2016 | 22 | |
| 14 | 2019 | 15 | |
| 15 | 2019 | 14 | |
| 16 | 2020 | 12 | |
| 17 | 2019 | 5 | |
| 18 | 2017 | 1 |
About Dae Eun Kwon
Dae Eun Kwon is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Cellular and Molecular Neuroscience, Materials Chemistry and Artificial Intelligence, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (18 papers), Ferroelectric and Negative Capacitance Devices (14 papers), Transition Metal Oxide Nanomaterials (8 papers), Semiconductor materials and devices (4 papers), Neuroscience and Neural Engineering (3 papers), Electronic and Structural Properties of Oxides (3 papers), Machine Learning and ELM (1 paper) and Gas Sensing Nanomaterials and Sensors (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (588 citations), Electrical and Electronic Engineering (1.3k citations), Polymers and Plastics (292 citations), Cognitive Neuroscience (126 citations) and Materials Chemistry (211 citations). Dae Eun Kwon has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Cheol Seong Hwang, Jung Ho Yoon, Tae Hyung Park, Kyung Jean Yoon, Seul Ji Song, Jun Yeong Seok, Young Jae Kwon, Yumin Kim, Gun Hwan Kim and Hae Jin Kim. Their work appears in journals such as Advanced Electronic Materials, Advanced Functional Materials, ACS Applied Materials & Interfaces, Nanoscale and Advanced Materials.
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.