Hyouk‐Kyu Cha
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering top 10%
- Mechanical Engineering
- Cellular and Molecular Neuroscience
- Aerospace Engineering
- Co-authors
- Woo‐Tae ParkMinkyu JeHyung Seok KimHong-Teuk KimKuduck KwonJia Hao CheongXiaojun YuanHongbin Yu
- Topics
- Analog and Mixed-Signal Circuit Design (18 papers)Neuroscience and Neural Engineering (17 papers)Advanced Memory and Neural Computing (12 papers)
- Cited by
- Electrical and Electronic EngineeringBiomedical EngineeringCellular and Molecular Neuroscience
- Journals
- IEEE AccessIEEE Journal of Solid-State CircuitsIEEE Transactions on Microwave Theory and Techniques
- Partner nations
- South KoreaSingaporeChina
In The Last Decade
Hyouk‐Kyu Cha
35 papers receiving 725 citations
Peers
Comparison fields: 5 of 44
- Electrical and Electronic Engineering 636
- Biomedical Engineering 295
- Mechanical Engineering 140
- Cellular and Molecular Neuroscience 113
- Aerospace Engineering 64
Countries citing papers authored by Hyouk‐Kyu Cha
This map shows the geographic impact of Hyouk‐Kyu Cha'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 Hyouk‐Kyu Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyouk‐Kyu Cha more than expected).
Fields of papers citing papers by Hyouk‐Kyu Cha
This network shows the impact of papers produced by Hyouk‐Kyu Cha. 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 Hyouk‐Kyu Cha. The network helps show where Hyouk‐Kyu Cha may publish in the future.
Co-authorship network of co-authors of Hyouk‐Kyu Cha
This figure shows the co-authorship network connecting the top 25 collaborators of Hyouk‐Kyu Cha. A scholar is included among the top collaborators of Hyouk‐Kyu Cha 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 Hyouk‐Kyu Cha. Hyouk‐Kyu Cha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 2 | |
| 3 | 17 | |
| 4 | 207 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 0 | |
| 8 | 31 | |
| 9 | 37 | |
| 10 | 2 | |
| 11 | 14 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | 34 | |
| 17 | 9 | |
| 18 | 36 | |
| 19 | 7 | |
| 20 | A High-Density 64k-Bit One-Time Programmable ROM Array with 3-Transistor Cell Standard CMOS Gate-Oxide Antifuse | 1 |
About Hyouk‐Kyu Cha
Hyouk‐Kyu Cha is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Biomedical Engineering, having authored 42 papers that have together received 753 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (18 papers), Neuroscience and Neural Engineering (17 papers) and Advanced Memory and Neural Computing (12 papers). The work is most often cited by research in Electrical and Electronic Engineering (636 citations), Biomedical Engineering (295 citations) and Cellular and Molecular Neuroscience (113 citations). Hyouk‐Kyu Cha has collaborated with scholars based in South Korea, Singapore and China. Frequent co-authors include Woo‐Tae Park, Minkyu Je, Hyung Seok Kim, Hong-Teuk Kim, Kuduck Kwon, Jia Hao Cheong, Xiaojun Yuan, Hongbin Yu, Hyung Seok Kim and Kwyro Lee. Their work appears in journals such as IEEE Access, IEEE Journal of Solid-State Circuits and IEEE Transactions on Microwave Theory and Techniques.
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.