Dae‐Hyuk Kwon
- Electrical and Electronic Engineering top 5%
- Materials Chemistry top 10%
- Biomedical Engineering top 10%
- Bioengineering top 1%
- Neurology top 10%
- Co-authors
- Shin‐Won KangByoung‐Ho KangSe-Hyuk YeomChang-Soo KimByung‐Ki SohnSang Won LeeJaesung LeeGopalan Saianand
- Topics
- Analytical Chemistry and Sensors (18 papers)Gas Sensing Nanomaterials and Sensors (13 papers)Quantum Dots Synthesis And Properties (13 papers)
- Partner nations
- South KoreaUnited StatesSweden
In The Last Decade
Dae‐Hyuk Kwon
72 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 93
- Electrical and Electronic Engineering 673
- Materials Chemistry 396
- Biomedical Engineering 307
- Bioengineering 242
- Neurology 185
Countries citing papers authored by Dae‐Hyuk Kwon
This map shows the geographic impact of Dae‐Hyuk 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‐Hyuk 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‐Hyuk Kwon more than expected).
Fields of papers citing papers by Dae‐Hyuk Kwon
This network shows the impact of papers produced by Dae‐Hyuk 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‐Hyuk Kwon. The network helps show where Dae‐Hyuk Kwon may publish in the future.
Co-authorship network of co-authors of Dae‐Hyuk Kwon
This figure shows the co-authorship network connecting the top 25 collaborators of Dae‐Hyuk Kwon. A scholar is included among the top collaborators of Dae‐Hyuk Kwon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dae‐Hyuk Kwon. Dae‐Hyuk Kwon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 11 | |
| 3 | 24 | |
| 4 | 2 | |
| 5 | 16 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 56 | |
| 9 | 3 | |
| 10 | 65 | |
| 11 | 49 | |
| 12 | 22 | |
| 13 | 4 | |
| 14 | 25 | |
| 15 | Fluorinated amorphous carbon thin films grown by plasma enhanced chemical vapor deposition with C₄F8 and Si₂H6 / He for low dielectric constant intermetallic layer dielectrics | 2 |
| 16 | 2 | |
| 17 | Side-polished fiber optic pressure sensor based on stress optical property of polymer planar waveguides | 3 |
| 18 | Fabrication and Characteristics of FET-type Pressure Sensor Using Piezoelectric PZT Thin Film | 1 |
| 19 | 7 | |
| 20 | 86 |
About Dae‐Hyuk Kwon
Dae‐Hyuk Kwon is a scholar working on Bioengineering, Electrical and Electronic Engineering and Materials Chemistry, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (18 papers), Gas Sensing Nanomaterials and Sensors (13 papers) and Quantum Dots Synthesis And Properties (13 papers). The work is most often cited by research in Bioengineering (242 citations), Electrochemistry (76 citations) and Neurology (185 citations). Dae‐Hyuk Kwon has collaborated with scholars based in South Korea, United States and Sweden. Frequent co-authors include Shin‐Won Kang, Byoung‐Ho Kang, Se-Hyuk Yeom, Chang-Soo Kim, Byung‐Ki Sohn, Sang Won Lee, Jaesung Lee, Gopalan Saianand, Sae-Wan Kim and Hak‐Rin Kim. Their work appears in journals such as Applied Physics Letters, Annals of Neurology and Scientific Reports.
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.