Li-Chen Shi
Impact in
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- Emotion and Mood Recognition
- Sleep and Work-Related Fatigue
- Human-Computer Interaction top 2%
- Gaze Tracking and Assistive Technology
Papers in
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- Sleep and Work-Related Fatigue 8
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- EEG and Brain-Computer Interfaces 7
- Neural dynamics and brain function 2
- Co-authors
- Bao‐Liang Lu (12 shared papers)Yingying Jiao (1 shared paper)Xiao‐Wei Wang (1 shared paper)Jiaxin Ma (3 shared papers)Hong Yu (1 shared paper)Fei Yuan (1 shared paper)Duanbing Chen (1 shared paper)Keyun Wang (1 shared paper)
- Journals
- Neurocomputing (1 paper)Physica A Statistical Mechanics and its Applications (1 paper)PubMed (8 papers)IEEE International Conference on Neural Networks (1 paper)
- Partner nations
- China
In The Last Decade
Li-Chen Shi
14 papers receiving 831 citations
Peers
Comparison fields: 5 of 58
- Experimental and Cognitive Psychology 557
- Human-Computer Interaction 211
- Cognitive Neuroscience 692
- Signal Processing 110
- Cardiology and Cardiovascular Medicine 94
Countries citing papers authored by Li-Chen Shi
This map shows the geographic impact of Li-Chen Shi'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 Li-Chen Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li-Chen Shi more than expected).
Fields of papers citing papers by Li-Chen Shi
This network shows the impact of papers produced by Li-Chen Shi. 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 Li-Chen Shi. The network helps show where Li-Chen Shi may publish in the future.
Co-authors
The 8 scholars most cited alongside Li-Chen Shi, 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 | 2013 | 277 | |
| 2 | 2011 | 275 | |
| 3 | 2012 | 94 | |
| 4 | 2010 | 58 | |
| 5 | 2014 | 28 | |
| 6 | 2010 | 26 | |
| 7 | 2008 | 24 | |
| 8 | 2010 | 23 | |
| 9 | 2013 | 18 | |
| 10 | 2007 | 15 | |
| 11 | 2011 | 14 | |
| 12 | 2017 | 4 | |
| 13 | 2011 | 2 | |
| 14 | 2015 | 1 |
About Li-Chen Shi
Li-Chen Shi is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Human-Computer Interaction, Control and Systems Engineering and Social Psychology, having authored 14 papers that have together received 859 indexed citations. Recurring topics across this work include Sleep and Work-Related Fatigue (8 papers), EEG and Brain-Computer Interfaces (7 papers), Gaze Tracking and Assistive Technology (6 papers), Neural dynamics and brain function (2 papers), Human-Automation Interaction and Safety (2 papers), Blind Source Separation Techniques (2 papers), Quality Function Deployment in Product Design (1 paper) and Advanced Battery Technologies Research (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (557 citations), Human-Computer Interaction (211 citations), Cognitive Neuroscience (692 citations), Signal Processing (110 citations) and Cardiology and Cardiovascular Medicine (94 citations). Li-Chen Shi has collaborated with scholars based in China. Frequent co-authors include Bao‐Liang Lu, Yingying Jiao, Xiao‐Wei Wang, Jiaxin Ma, Hong Yu, Fei Yuan, Duanbing Chen and Keyun Wang. Their work appears in journals such as Neurocomputing, Physica A Statistical Mechanics and its Applications, PubMed and IEEE International Conference on Neural Networks.
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.