Li M. Chen
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Tactile and Sensory Interactions
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Visual perception and processing mechanisms
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- Transcranial Magnetic Stimulation Studies
Papers in
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- Neural dynamics and brain function 4
- Functional Brain Connectivity Studies 3
- Tactile and Sensory Interactions 2
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- Advanced MRI Techniques and Applications 3
- Advanced Neuroimaging Techniques and Applications 1
- Co-authors
- Robert M. Friedman (5 shared papers)Anna Wang Roe (4 shared papers)Malcolm J. Avison (3 shared papers)John C. Gore (4 shared papers)Gregory Turner (1 shared paper)Na Zhang (1 shared paper)Feng Wang (2 shared papers)Cory Palmer (1 shared paper)
- Journals
- Magnetic Resonance Imaging (2 papers)Pain (1 paper)The Journal of Comparative Neurology (1 paper)Science (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesAustraliaHungary
In The Last Decade
Li M. Chen
8 papers receiving 335 citations
Peers
Comparison fields: 5 of 48
- Cognitive Neuroscience 271
- Neurology 61
- Human-Computer Interaction 24
- Cellular and Molecular Neuroscience 63
- Radiology, Nuclear Medicine and Imaging 72
Countries citing papers authored by Li M. Chen
This map shows the geographic impact of Li M. 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 Li M. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li M. Chen more than expected).
Fields of papers citing papers by Li M. Chen
This network shows the impact of papers produced by Li M. 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 Li M. Chen. The network helps show where Li M. Chen may publish in the future.
Co-authors
The 20 scholars most cited alongside Li M. Chen, 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 | 2003 | 135 | |
| 2 | 2007 | 74 | |
| 3 | 2013 | 38 | |
| 4 | 2007 | 28 | |
| 5 | 2010 | 28 | |
| 6 | 2011 | 24 | |
| 7 | 2022 | 6 | |
| 8 | 2017 | 6 |
About Li M. Chen
Li M. Chen is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Neurology and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 339 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Advanced MRI Techniques and Applications (3 papers), Functional Brain Connectivity Studies (3 papers), Tactile and Sensory Interactions (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Pain Mechanisms and Treatments (1 paper), Transcranial Magnetic Stimulation Studies (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Cognitive Neuroscience (271 citations), Neurology (61 citations), Human-Computer Interaction (24 citations), Cellular and Molecular Neuroscience (63 citations) and Radiology, Nuclear Medicine and Imaging (72 citations). Li M. Chen has collaborated with scholars based in United States, Australia and Hungary. Frequent co-authors include Robert M. Friedman, Anna Wang Roe, Malcolm J. Avison, John C. Gore, Gregory Turner, Na Zhang, Feng Wang, Na Zhang, Cory Palmer and László Négyessy. Their work appears in journals such as Magnetic Resonance Imaging, Pain, The Journal of Comparative Neurology, Science and Journal of Neuroscience.
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.