Ui Yeon Won
Impact in
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- 2D Materials and Applications
- Graphene research and applications
- MXene and MAX Phase Materials
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Perovskite Materials and Applications
Papers in
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- 2D Materials and Applications 9
- Graphene research and applications 9
- MXene and MAX Phase Materials 3
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- Advanced Memory and Neural Computing 5
- Semiconductor materials and devices 3
- Ferroelectric and Negative Capacitance Devices 2
- Co-authors
- Woo Jong Yu (14 shared papers)Young Hee Lee (13 shared papers)Won Tae Kang (10 shared papers)Kunnyun Kim (5 shared papers)Young Rae Kim (9 shared papers)Ilmin Lee (7 shared papers)Quoc An Vu (3 shared papers)Subash Adhikari (2 shared papers)
- Journals
- ACS Nano (2 papers)Advanced Materials (2 papers)ACS Applied Materials & Interfaces (2 papers)Advanced Functional Materials (1 paper)Applied Surface Science (1 paper)
- Partner nations
- South KoreaUnited StatesHong Kong
In The Last Decade
Ui Yeon Won
14 papers receiving 527 citations
Peers
Comparison fields: 5 of 30
- Materials Chemistry 359
- Electrical and Electronic Engineering 328
- Polymers and Plastics 48
- Cellular and Molecular Neuroscience 60
- Biomedical Engineering 122
Countries citing papers authored by Ui Yeon Won
This map shows the geographic impact of Ui Yeon Won'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 Ui Yeon Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ui Yeon Won more than expected).
Fields of papers citing papers by Ui Yeon Won
This network shows the impact of papers produced by Ui Yeon Won. 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 Ui Yeon Won. The network helps show where Ui Yeon Won may publish in the future.
Co-authors
The 25 scholars most cited alongside Ui Yeon Won, 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 | 2017 | 158 | |
| 2 | 2019 | 72 | |
| 3 | 2020 | 62 | |
| 4 | 2023 | 54 | |
| 5 | 2020 | 53 | |
| 6 | 2020 | 50 | |
| 7 | 2021 | 20 | |
| 8 | 2020 | 17 | |
| 9 | 2015 | 15 | |
| 10 | 2021 | 13 | |
| 11 | 2018 | 12 | |
| 12 | 2016 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2017 | 1 |
About Ui Yeon Won
Ui Yeon Won is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering, Cellular and Molecular Neuroscience and Atomic and Molecular Physics, and Optics, having authored 14 papers that have together received 532 indexed citations. Recurring topics across this work include 2D Materials and Applications (9 papers), Graphene research and applications (9 papers), Advanced Memory and Neural Computing (5 papers), Nanowire Synthesis and Applications (5 papers), MXene and MAX Phase Materials (3 papers), Semiconductor materials and devices (3 papers), Neuroscience and Neural Engineering (2 papers) and Ferroelectric and Negative Capacitance Devices (2 papers). The work is most often cited by research in Materials Chemistry (359 citations), Electrical and Electronic Engineering (328 citations), Polymers and Plastics (48 citations), Cellular and Molecular Neuroscience (60 citations) and Biomedical Engineering (122 citations). Ui Yeon Won has collaborated with scholars based in South Korea, United States and Hong Kong. Frequent co-authors include Woo Jong Yu, Young Hee Lee, Won Tae Kang, Kunnyun Kim, Young Rae Kim, Ilmin Lee, Quoc An Vu, Subash Adhikari, Van Luan Nguyen and Hyun Kim. Their work appears in journals such as ACS Nano, Advanced Materials, ACS Applied Materials & Interfaces, Advanced Functional Materials and Applied Surface Science.
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.