Yuwei Cui
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
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- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
Papers in
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- Neural dynamics and brain function 9
- Visual perception and processing mechanisms 5
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- Neuroscience and Neural Engineering 3
- Neurobiology and Insect Physiology Research 2
- Co-authors
- Daniel A. Butts (6 shared papers)Jeff Hawkins (2 shared papers)Subutai Ahmad (2 shared papers)James M. McFarland (2 shared papers)Christopher C. Pack (2 shared papers)Liu D. Liu (2 shared papers)Jonathan B. Demb (2 shared papers)Silvia J. H. Park (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)eLife (1 paper)PLoS Computational Biology (1 paper)Frontiers in Neural Circuits (1 paper)BMC Neuroscience (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Yuwei Cui
9 papers receiving 374 citations
Peers
Comparison fields: 5 of 66
- Cognitive Neuroscience 261
- Cellular and Molecular Neuroscience 107
- Artificial Intelligence 90
- Biophysics 13
- Signal Processing 21
Countries citing papers authored by Yuwei Cui
This map shows the geographic impact of Yuwei Cui'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 Yuwei Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuwei Cui more than expected).
Fields of papers citing papers by Yuwei Cui
This network shows the impact of papers produced by Yuwei Cui. 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 Yuwei Cui. The network helps show where Yuwei Cui may publish in the future.
Co-authors
The 11 scholars most cited alongside Yuwei Cui, 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 | 106 | |
| 2 | 2017 | 87 | |
| 3 | 2017 | 71 | |
| 4 | 2016 | 36 | |
| 5 | 2013 | 34 | |
| 6 | 2016 | 27 | |
| 7 | 2011 | 9 | |
| 8 | 2016 | 8 | |
| 9 | 2015 | 8 |
About Yuwei Cui
Yuwei Cui is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence, Electrical and Electronic Engineering and Molecular Biology, having authored 9 papers that have together received 386 indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Visual perception and processing mechanisms (5 papers), Neuroscience and Neural Engineering (3 papers), Neural Networks and Reservoir Computing (2 papers), Neurobiology and Insect Physiology Research (2 papers), Advanced Memory and Neural Computing (2 papers), Retinal Development and Disorders (1 paper) and stochastic dynamics and bifurcation (1 paper). The work is most often cited by research in Cognitive Neuroscience (261 citations), Cellular and Molecular Neuroscience (107 citations), Artificial Intelligence (90 citations), Biophysics (13 citations) and Signal Processing (21 citations). Yuwei Cui has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Daniel A. Butts, Jeff Hawkins, Subutai Ahmad, James M. McFarland, Christopher C. Pack, Liu D. Liu, Jonathan B. Demb, Silvia J. H. Park, A. Casti and Si Wu. Their work appears in journals such as Journal of Neuroscience, eLife, PLoS Computational Biology, Frontiers in Neural Circuits and BMC 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.