Da Won Kim
Impact in
- Cognitive Neuroscience top 5%
- Tactile and Sensory Interactions
- Biomedical Engineering top 5%
- Advanced Sensor and Energy Harvesting Materials
- Muscle activation and electromyography studies
Papers in
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- Advanced Sensor and Energy Harvesting Materials 4
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- Membrane Separation and Gas Transport 2
- Co-authors
- Steve Park (4 shared papers)Jun Chang Yang (3 shared papers)Se Young Kwon (1 shared paper)Jin‐Oh Kim (1 shared paper)Joo Yong Sim (1 shared paper)Jinwon Oh (1 shared paper)Kayoung Kim (1 shared paper)Chan Beum Park (1 shared paper)
- Journals
- ACS Applied Materials & Interfaces (2 papers)Nature Communications (1 paper)Polymer (1 paper)Fibers and Polymers (1 paper)Science Advances (1 paper)
- Partner nations
- South KoreaJapan
In The Last Decade
Da Won Kim
7 papers receiving 889 citations
Da Won Kim's Hit Papers
Peers
Comparison fields: 5 of 88
- Cognitive Neuroscience 299
- Biomedical Engineering 684
- Polymers and Plastics 217
- Bioengineering 48
- Electrical and Electronic Engineering 364
Countries citing papers authored by Da Won Kim
This map shows the geographic impact of Da Won Kim'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 Da Won Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Won Kim more than expected).
Fields of papers citing papers by Da Won Kim
This network shows the impact of papers produced by Da Won Kim. 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 Da Won Kim. The network helps show where Da Won Kim may publish in the future.
Co-authors
The 15 scholars most cited alongside Da Won Kim, 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 | Microstructured Porous Pyramid-Based Ultrahigh Sensitive Pressure Sensor Insensitive to Strain and Temperature Hit paper breakdown → | 2019 | 517 |
| 2 | 2020 | 207 | |
| 3 | 2022 | 101 | |
| 4 | 2020 | 63 | |
| 5 | 2024 | 5 | |
| 6 | 2022 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2026 | 0 |
About Da Won Kim
Da Won Kim is a scholar working on Biomedical Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Cognitive Neuroscience and Water Science and Technology, having authored 8 papers that have together received 898 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (4 papers), Membrane Separation Technologies (2 papers), Tactile and Sensory Interactions (2 papers), Advanced Memory and Neural Computing (2 papers), Membrane Separation and Gas Transport (2 papers), Neuroscience and Neural Engineering (1 paper), Alzheimer's disease research and treatments (1 paper) and Cryptography and Residue Arithmetic (1 paper). The work is most often cited by research in Cognitive Neuroscience (299 citations), Biomedical Engineering (684 citations), Polymers and Plastics (217 citations), Bioengineering (48 citations) and Electrical and Electronic Engineering (364 citations). Da Won Kim has collaborated with scholars based in South Korea and Japan. Frequent co-authors include Steve Park, Jun Chang Yang, Se Young Kwon, Jin‐Oh Kim, Joo Yong Sim, Jinwon Oh, Kayoung Kim, Chan Beum Park, Su Yeong Kim and Seungkyu Lee. Their work appears in journals such as ACS Applied Materials & Interfaces, Nature Communications, Polymer, Fibers and Polymers and Science Advances.
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.