Chih‐En Kuo
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Sleep and Wakefulness Research
-
- Sleep and Work-Related Fatigue
Papers in
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- Sleep and related disorders 9
- Sleep and Work-Related Fatigue 8
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- EEG and Brain-Computer Interfaces 18
- Sleep and Wakefulness Research 14
- Neural dynamics and brain function 3
- Co-authors
- Sheng‐Fu LiangYuhan HuYung-Hung WangGuan-Ting ChenFu‐Zen ShawYi‐Chieh LeeYen‐Chen LiuWen‐Chieh Lin
- Journals
- IEEE Access (2 papers)BioMedical Engineering OnLine (2 papers)IEEE Transactions on Biomedical Engineering (2 papers)IEEE Transactions on Instrumentation and Measurement (2 papers)Biomedical Signal Processing and Control (2 papers)
- Partner nations
- TaiwanUnited States
In The Last Decade
Chih‐En Kuo
32 papers receiving 819 citations
Peers
Comparison fields: 5 of 87
- Cognitive Neuroscience 608
- Experimental and Cognitive Psychology 243
- Signal Processing 174
- Human-Computer Interaction 85
- Physiology 155
Countries citing papers authored by Chih‐En Kuo
This map shows the geographic impact of Chih‐En Kuo'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 Chih‐En Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih‐En Kuo more than expected).
Fields of papers citing papers by Chih‐En Kuo
This network shows the impact of papers produced by Chih‐En Kuo. 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 Chih‐En Kuo. The network helps show where Chih‐En Kuo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chih‐En Kuo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 33 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 18 | |
| 9 | 2021 | 29 | |
| 10 | 2020 | 17 | |
| 11 | 2020 | 2 | |
| 12 | 2020 | 3 | |
| 13 | 2020 | 13 | |
| 14 | 2019 | 8 | |
| 15 | 2019 | 15 | |
| 16 | 2015 | 18 | |
| 17 | 2012 | 4 | |
| 18 | 2012 | 73 | |
| 19 | 2012 | 110 | |
| 20 | 2011 | 20 |
About Chih‐En Kuo
Chih‐En Kuo is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Human-Computer Interaction, Analytical Chemistry and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 833 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (18 papers), Sleep and Wakefulness Research (14 papers), Sleep and related disorders (9 papers), Sleep and Work-Related Fatigue (8 papers), Obstructive Sleep Apnea Research (5 papers), Neural dynamics and brain function (3 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Cognitive Neuroscience (608 citations), Experimental and Cognitive Psychology (243 citations), Signal Processing (174 citations), Human-Computer Interaction (85 citations) and Physiology (155 citations). Chih‐En Kuo has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Sheng‐Fu Liang, Sheng‐Fu Liang, Yuhan Hu, Yung-Hung Wang, Guan-Ting Chen, Fu‐Zen Shaw, Yi‐Chieh Lee, Yen‐Chen Liu, Wen‐Chieh Lin and Pengyu Chen. Their work appears in journals such as IEEE Access, BioMedical Engineering OnLine, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Instrumentation and Measurement and Biomedical Signal Processing and Control.
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.