Yun-Hsuan Chen
- Biomedical Engineering top 10%
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Cardiology and Cardiovascular Medicine
- Co-authors
- Mohamad SawanK. I. HwuBernard GrundlehnerVojkan MihajlovićChris Van HoofStefanie GadeyneEvelien CarrettePaul Boon
- Topics
- EEG and Brain-Computer Interfaces (10 papers)Optical Imaging and Spectroscopy Techniques (8 papers)Advanced DC-DC Converters (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Physics LettersJournal of Applied Physics
In The Last Decade
Yun-Hsuan Chen
58 papers receiving 734 citations
Peers
Comparison fields: 5 of 123
- Biomedical Engineering 319
- Electrical and Electronic Engineering 176
- Cognitive Neuroscience 173
- Cellular and Molecular Neuroscience 117
- Cardiology and Cardiovascular Medicine 80
Countries citing papers authored by Yun-Hsuan Chen
This map shows the geographic impact of Yun-Hsuan Chen'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 Yun-Hsuan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun-Hsuan Chen more than expected).
Fields of papers citing papers by Yun-Hsuan Chen
This network shows the impact of papers produced by Yun-Hsuan Chen. 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 Yun-Hsuan Chen. The network helps show where Yun-Hsuan Chen may publish in the future.
Co-authorship network of co-authors of Yun-Hsuan Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Yun-Hsuan Chen. A scholar is included among the top collaborators of Yun-Hsuan Chen 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 Yun-Hsuan Chen. Yun-Hsuan Chen 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 | 1 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 6 | |
| 13 | 8 | |
| 14 | 9 | |
| 15 | 14 | |
| 16 | 17 | |
| 17 | 28 | |
| 18 | 56 | |
| 19 | 7 | |
| 20 | Signal Quality in Dry Electrode EEG and the Relation to Skin-electrode Contact Impedance Magnitude. | 13 |
About Yun-Hsuan Chen
Yun-Hsuan Chen is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 61 papers that have together received 750 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (10 papers), Optical Imaging and Spectroscopy Techniques (8 papers) and Advanced DC-DC Converters (7 papers). The work is most often cited by research in Cognitive Neuroscience (173 citations), Biomedical Engineering (319 citations) and Cellular and Molecular Neuroscience (117 citations). Yun-Hsuan Chen has collaborated with scholars based in Taiwan, China and Belgium. Frequent co-authors include Mohamad Sawan, K. I. Hwu, Bernard Grundlehner, Vojkan Mihajlović, Chris Van Hoof, Stefanie Gadeyne, Evelien Carrette, Paul Boon, Kris Vanstreels and Xi Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.
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.