Tae‐Hyeon Kim
- Electrical and Electronic Engineering top 5%
- Cellular and Molecular Neuroscience top 5%
- Artificial Intelligence top 10%
- Materials Chemistry
- Polymers and Plastics top 10%
- Co-authors
- Byung‐Gook ParkHyungjin KimSungjoon KimSungjun KimMin‐Hwi KimJinwoo ParkSeongjae ChoDong Keun Lee
- Topics
- Advanced Memory and Neural Computing (59 papers)Ferroelectric and Negative Capacitance Devices (47 papers)Neuroscience and Neural Engineering (22 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringPharmaceutical Science
- Journals
- SHILAP Revista de lepidopterologíaApplied Physics LettersACS Applied Materials & Interfaces
- Partner nations
- South KoreaUnited StatesSaudi Arabia
In The Last Decade
Tae‐Hyeon Kim
85 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 100
- Electrical and Electronic Engineering 1.0k
- Cellular and Molecular Neuroscience 399
- Artificial Intelligence 138
- Materials Chemistry 130
- Polymers and Plastics 124
Countries citing papers authored by Tae‐Hyeon Kim
This map shows the geographic impact of Tae‐Hyeon 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 Tae‐Hyeon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae‐Hyeon Kim more than expected).
Fields of papers citing papers by Tae‐Hyeon Kim
This network shows the impact of papers produced by Tae‐Hyeon 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 Tae‐Hyeon Kim. The network helps show where Tae‐Hyeon Kim may publish in the future.
Co-authorship network of co-authors of Tae‐Hyeon Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Tae‐Hyeon Kim. A scholar is included among the top collaborators of Tae‐Hyeon 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 Tae‐Hyeon Kim. Tae‐Hyeon 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 | 2 | |
| 3 | 7 | |
| 4 | 13 | |
| 5 | 9 | |
| 6 | 31 | |
| 7 | 23 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 1 | |
| 11 | 54 | |
| 12 | 28 | |
| 13 | 9 | |
| 14 | 5 | |
| 15 | 11 | |
| 16 | 2 | |
| 17 | 12 | |
| 18 | 31 | |
| 19 | 22 | |
| 20 | 27 |
About Tae‐Hyeon Kim
Tae‐Hyeon Kim is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Pharmaceutical Science, having authored 91 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (59 papers), Ferroelectric and Negative Capacitance Devices (47 papers) and Neuroscience and Neural Engineering (22 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (399 citations), Electrical and Electronic Engineering (1.0k citations) and Pharmaceutical Science (91 citations). Tae‐Hyeon Kim has collaborated with scholars based in South Korea, United States and Saudi Arabia. Frequent co-authors include Byung‐Gook Park, Hyungjin Kim, Sungjoon Kim, Sungjun Kim, Min‐Hwi Kim, Jinwoo Park, Seongjae Cho, Dong Keun Lee, Jeong‐Sook Park and Shimeng Yu. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and ACS Applied Materials & Interfaces.
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.