Youngcheol Chae
- Electrical and Electronic Engineering top 1%
- Biomedical Engineering top 1%
- Cellular and Molecular Neuroscience top 5%
- Polymers and Plastics top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Kofi A. A. MakinwaGunhee HanKamran SouriJong‐Hyun AhnJejung KimChanguk LeeJimin CheonJae‐Hyun Kim
- Topics
- Analog and Mixed-Signal Circuit Design (67 papers)CCD and CMOS Imaging Sensors (43 papers)Advancements in Semiconductor Devices and Circuit Design (30 papers)
- Journals
- SHILAP Revista de lepidopterologíaNano LettersACS Nano
- Partner nations
- South KoreaNetherlandsUnited States
In The Last Decade
Youngcheol Chae
123 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 88
- Electrical and Electronic Engineering 2.5k
- Biomedical Engineering 2.4k
- Cellular and Molecular Neuroscience 415
- Polymers and Plastics 303
- Cognitive Neuroscience 294
Countries citing papers authored by Youngcheol Chae
This map shows the geographic impact of Youngcheol Chae'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 Youngcheol Chae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngcheol Chae more than expected).
Fields of papers citing papers by Youngcheol Chae
This network shows the impact of papers produced by Youngcheol Chae. 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 Youngcheol Chae. The network helps show where Youngcheol Chae may publish in the future.
Co-authorship network of co-authors of Youngcheol Chae
This figure shows the co-authorship network connecting the top 25 collaborators of Youngcheol Chae. A scholar is included among the top collaborators of Youngcheol Chae 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 Youngcheol Chae. Youngcheol Chae 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 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 34 | |
| 10 | 8 | |
| 11 | 67 | |
| 12 | 17 | |
| 13 | 9 | |
| 14 | 14 | |
| 15 | 68 | |
| 16 | 26 | |
| 17 | 37 | |
| 18 | 21 | |
| 19 | 116 | |
| 20 | Effect of Ramp Signal Noise on CMOS Image Sensor with Column-wise CDS/ADC | 2 |
About Youngcheol Chae
Youngcheol Chae is a scholar working on Instrumentation, Bioengineering and Biomedical Engineering, having authored 133 papers that have together received 3.4k indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (67 papers), CCD and CMOS Imaging Sensors (43 papers) and Advancements in Semiconductor Devices and Circuit Design (30 papers). The work is most often cited by research in Biomedical Engineering (2.4k citations), Bioengineering (268 citations) and Electrical and Electronic Engineering (2.5k citations). Youngcheol Chae has collaborated with scholars based in South Korea, Netherlands and United States. Frequent co-authors include Kofi A. A. Makinwa, Gunhee Han, Kamran Souri, Jong‐Hyun Ahn, Jejung Kim, Changuk Lee, Jimin Cheon, Jae‐Hyun Kim, Bongkyun Jang and Zhichao Tan. Their work appears in journals such as SHILAP Revista de lepidopterología, Nano Letters and ACS Nano.
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.