Dae‐Hyeong Kim
- Biomedical Engineering top 0.01%
- Electrical and Electronic Engineering top 0.1%
- Polymers and Plastics top 0.02%
- Materials Chemistry top 0.5%
- Cognitive Neuroscience top 0.2%
- Co-authors
- Taeghwan HyeonNanshu LuJohn A. RogersYonggang HuangHyunjae LeeJaemin KimSuji ChoiJa Hoon Koo
- Topics
- Advanced Sensor and Energy Harvesting Materials (149 papers)Conducting polymers and applications (94 papers)Neuroscience and Neural Engineering (54 papers)
- Journals
- NatureScienceChemical Reviews
- Partner nations
- South KoreaUnited StatesSudan
In The Last Decade
Dae‐Hyeong Kim
221 papers receiving 32.0k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Biomedical Engineering 24.0k
- Electrical and Electronic Engineering 13.0k
- Polymers and Plastics 10.7k
- Materials Chemistry 5.7k
- Cognitive Neuroscience 5.2k
Countries citing papers authored by Dae‐Hyeong Kim
This map shows the geographic impact of Dae‐Hyeong 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 Dae‐Hyeong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dae‐Hyeong Kim more than expected).
Fields of papers citing papers by Dae‐Hyeong Kim
This network shows the impact of papers produced by Dae‐Hyeong 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 Dae‐Hyeong Kim. The network helps show where Dae‐Hyeong Kim may publish in the future.
Co-authorship network of co-authors of Dae‐Hyeong Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Dae‐Hyeong Kim. A scholar is included among the top collaborators of Dae‐Hyeong Kim 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‐Hyeong Kim. Dae‐Hyeong Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 22 | |
| 7 | 24 | |
| 8 | 11 | |
| 9 | 56 | |
| 10 | 38 | |
| 11 | 82 | |
| 12 | 37 | |
| 13 | Floatable photocatalytic hydrogel nanocomposites for large-scale solar hydrogen productionbreakdown → | 262 |
| 14 | 102 | |
| 15 | 38 | |
| 16 | 95 | |
| 17 | Highly conductive and elastic nanomembrane for skin electronicsbreakdown → | 314 |
| 18 | Tissue-like skin-device interface for wearable bioelectronics by using ultrasoft, mass-permeable, and low-impedance hydrogelsbreakdown → | 270 |
| 19 | 36 | |
| 20 | 33 |
About Dae‐Hyeong Kim
Dae‐Hyeong Kim is a scholar working on Polymers and Plastics, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 228 papers that have together received 32.6k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (149 papers), Conducting polymers and applications (94 papers) and Neuroscience and Neural Engineering (54 papers). The work is most often cited by research in Polymers and Plastics (10.7k citations), Biomedical Engineering (24.0k citations) and Cognitive Neuroscience (5.2k citations). Dae‐Hyeong Kim has collaborated with scholars based in South Korea, United States and Sudan. Frequent co-authors include Taeghwan Hyeon, Nanshu Lu, John A. Rogers, Yonggang Huang, Hyunjae Lee, Jaemin Kim, Suji Choi, Ja Hoon Koo, John A. Rogers and Roozbeh Ghaffari. Their work appears in journals such as Nature, Science and Chemical Reviews.
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.