Daeyeon Won
Impact in
- Polymers and Plastics top 5%
- Conducting polymers and applications
- Biomedical Engineering top 10%
- Advanced Sensor and Energy Harvesting Materials
Papers in ⓘ
-
- Advanced Sensor and Energy Harvesting Materials 8
- Dielectric materials and actuators 1
-
- Neuroscience and Neural Engineering 4
- Co-authors
- Seung Hwan Ko (10 shared papers)Junhyuk Bang (6 shared papers)Kyung Rok Pyun (5 shared papers)Seong‐Min Jeong (4 shared papers)Seok Hwan Choi (4 shared papers)Jin Kim (3 shared papers)Taek‐Soo Kim (2 shared papers)HyeongJun Kim (2 shared papers)
- Journals
- Macromolecules (1 paper)Nano-Micro Letters (1 paper)Nature Electronics (1 paper)Joule (1 paper)Biosensors and Bioelectronics (1 paper)
- Partner nations
- South KoreaPuerto Rico
In The Last Decade
Daeyeon Won
11 papers receiving 659 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Polymers and Plastics 259
- Biomedical Engineering 468
- Cellular and Molecular Neuroscience 107
- Bioengineering 28
- Health Informatics 6
Countries citing papers authored by Daeyeon Won
This map shows the geographic impact of Daeyeon 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 Daeyeon Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daeyeon Won more than expected).
Fields of papers citing papers by Daeyeon Won
This network shows the impact of papers produced by Daeyeon 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 Daeyeon Won. The network helps show where Daeyeon Won may publish in the future.
Co-authors
The 25 scholars most cited alongside Daeyeon 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 | Digital selective transformation and patterning of highly conductive hydrogel bioelectronics by laser-induced phase separation Hit paper breakdown → | 2022 | 202 |
| 2 | Transparent Electronics for Wearable Electronics Application Hit paper breakdown → | 2023 | 194 |
| 3 | Laser-induced wet stability and adhesion of pure conducting polymer hydrogels Hit paper breakdown → | 2024 | 111 |
| 4 | Phase patterning of liquid crystal elastomers by laser-induced dynamic crosslinking Hit paper breakdown → | 2024 | 57 |
| 5 | 2024 | 39 | |
| 6 | 2024 | 21 | |
| 7 | 2020 | 20 | |
| 8 | 2025 | 10 | |
| 9 | 2024 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2025 | 6 |
About Daeyeon Won
Daeyeon Won is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Polymers and Plastics and Mechanical Engineering, having authored 11 papers that have together received 676 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (8 papers), Neuroscience and Neural Engineering (4 papers), Advanced Materials and Mechanics (3 papers), Advanced Memory and Neural Computing (2 papers), Conducting polymers and applications (2 papers), Gas Sensing Nanomaterials and Sensors (1 paper), Dielectric materials and actuators (1 paper) and Transition Metal Oxide Nanomaterials (1 paper). The work is most often cited by research in Polymers and Plastics (259 citations), Biomedical Engineering (468 citations), Cellular and Molecular Neuroscience (107 citations), Bioengineering (28 citations) and Health Informatics (6 citations). Daeyeon Won has collaborated with scholars based in South Korea and Puerto Rico. Frequent co-authors include Seung Hwan Ko, Junhyuk Bang, Kyung Rok Pyun, Seong‐Min Jeong, Seok Hwan Choi, Jin Kim, Taek‐Soo Kim, HyeongJun Kim, Seonggeun Han and Jae‐Hak Park. Their work appears in journals such as Macromolecules, Nano-Micro Letters, Nature Electronics, Joule and Biosensors and Bioelectronics.
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.