Sanghyeon Kim
- Electrical and Electronic Engineering top 2%
- Atomic and Molecular Physics, and Optics top 5%
- Biomedical Engineering top 5%
- Materials Chemistry top 10%
- Molecular Biology
- Co-authors
- Dae‐Myeong GeumMasafumi YokoyamaMitsuru TakenakaShinichi TakagiSeong Kwang KimDong-Won KimMasahiko HataWon Jun Choi
- Topics
- Semiconductor materials and devices (84 papers)Advancements in Semiconductor Devices and Circuit Design (60 papers)Photonic and Optical Devices (35 papers)
- Journals
- Journal of Biological ChemistryNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Sanghyeon Kim
253 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 151
- Electrical and Electronic Engineering 2.3k
- Atomic and Molecular Physics, and Optics 596
- Biomedical Engineering 586
- Materials Chemistry 517
- Molecular Biology 390
Countries citing papers authored by Sanghyeon Kim
This map shows the geographic impact of Sanghyeon 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 Sanghyeon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanghyeon Kim more than expected).
Fields of papers citing papers by Sanghyeon Kim
This network shows the impact of papers produced by Sanghyeon 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 Sanghyeon Kim. The network helps show where Sanghyeon Kim may publish in the future.
Co-authorship network of co-authors of Sanghyeon Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Sanghyeon Kim. A scholar is included among the top collaborators of Sanghyeon 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 Sanghyeon Kim. Sanghyeon 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 14 | |
| 14 | 13 | |
| 15 | 1 | |
| 16 | Ballistic Coefficient Estimation with Gaussian Process Particle Filter | 1 |
| 17 | 2 | |
| 18 | 31 | |
| 19 | Data-driven ballistic coefficient learning for future state prediction of high-speed vehicles | 3 |
| 20 | 3 |
About Sanghyeon Kim
Sanghyeon Kim is a scholar working on Electrical and Electronic Engineering, Biological Psychiatry and Atomic and Molecular Physics, and Optics, having authored 280 papers that have together received 4.0k indexed citations. Recurring topics across this work include Semiconductor materials and devices (84 papers), Advancements in Semiconductor Devices and Circuit Design (60 papers) and Photonic and Optical Devices (35 papers). The work is most often cited by research in Electrical and Electronic Engineering (2.3k citations), Biological Psychiatry (84 citations) and Condensed Matter Physics (235 citations). Sanghyeon Kim has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Dae‐Myeong Geum, Masafumi Yokoyama, Mitsuru Takenaka, Shinichi Takagi, Seong Kwang Kim, Dong-Won Kim, Masahiko Hata, Won Jun Choi, Maree J. Webster and Jae‐Hoon Han. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.
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.