Jui-Jui Lin
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
- Memory Processes and Influences
- Sleep and Wakefulness Research
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- Neuroscience and Neuropharmacology Research
Papers in
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- Memory and Neural Mechanisms 5
- EEG and Brain-Computer Interfaces 2
- Memory Processes and Influences 2
- Neural dynamics and brain function 1
- Functional Brain Connectivity Studies 1
- Neural and Behavioral Psychology Studies 1
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- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Bradley Lega (6 shared papers)Joel M. Stein (5 shared papers)Michael D. Rugg (3 shared papers)Michael J. Kahana (3 shared papers)Sandhitsu R. Das (2 shared papers)Daniel S. Rizzuto (2 shared papers)Michael R. Sperling (3 shared papers)Sameer A. Sheth (3 shared papers)
- Journals
- Hippocampus (2 papers)NeuroImage (1 paper)Nature Neuroscience (1 paper)Journal of Neuroscience (1 paper)Journal of Neural Engineering (1 paper)
- Partner nations
- United States
In The Last Decade
Jui-Jui Lin
7 papers receiving 385 citations
Peers
Comparison fields: 5 of 49
- Cognitive Neuroscience 319
- Cellular and Molecular Neuroscience 145
- Neurology 29
- Sensory Systems 16
- Psychiatry and Mental health 29
Countries citing papers authored by Jui-Jui Lin
This map shows the geographic impact of Jui-Jui Lin'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 Jui-Jui Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jui-Jui Lin more than expected).
Fields of papers citing papers by Jui-Jui Lin
This network shows the impact of papers produced by Jui-Jui Lin. 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 Jui-Jui Lin. The network helps show where Jui-Jui Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jui-Jui Lin, 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 | 2020 | 130 | |
| 2 | 2017 | 76 | |
| 3 | 2019 | 61 | |
| 4 | 2017 | 44 | |
| 5 | 2019 | 34 | |
| 6 | 2018 | 31 | |
| 7 | 2018 | 12 |
About Jui-Jui Lin
Jui-Jui Lin is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology, Sensory Systems and Infectious Diseases, having authored 7 papers that have together received 388 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (5 papers), Neuroscience and Neuropharmacology Research (4 papers), EEG and Brain-Computer Interfaces (2 papers), Memory Processes and Influences (2 papers), Neurological disorders and treatments (1 paper), Neural dynamics and brain function (1 paper), Functional Brain Connectivity Studies (1 paper) and Neural and Behavioral Psychology Studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (319 citations), Cellular and Molecular Neuroscience (145 citations), Neurology (29 citations), Sensory Systems (16 citations) and Psychiatry and Mental health (29 citations). Jui-Jui Lin has collaborated with scholars based in United States. Frequent co-authors include Bradley Lega, Joel M. Stein, Michael D. Rugg, Michael J. Kahana, Sandhitsu R. Das, Daniel S. Rizzuto, Michael R. Sperling, Sameer A. Sheth, Cory S. Inman and Vaidehi Natu. Their work appears in journals such as Hippocampus, NeuroImage, Nature Neuroscience, Journal of Neuroscience and Journal of Neural Engineering.
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.