Tyler Lee
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Neuroscience and Music Perception
- Hearing Loss and Rehabilitation
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Face Recognition and Perception
Papers in
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- Neural dynamics and brain function 2
- Face Recognition and Perception 1
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- Domain Adaptation and Few-Shot Learning 1
- Adversarial Robustness in Machine Learning 1
- Co-authors
- Frédéric E. Theunissen (2 shared papers)Shinji Nishimoto (1 shared paper)Jack L. Gallant (1 shared paper)Alexander G. Huth (1 shared paper)Natalia Y. Bilenko (1 shared paper)An T. Vu (1 shared paper)Robert C. Moore (1 shared paper)Anthony Ndirango (2 shared papers)
- Journals
- Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)Applied Clinical Informatics (1 paper)PLoS Computational Biology (1 paper)IEEE Access (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Tyler Lee
11 papers receiving 281 citations
Peers
Comparison fields: 5 of 88
- Cognitive Neuroscience 120
- Developmental Biology 10
- Signal Processing 28
- Experimental and Cognitive Psychology 23
- Artificial Intelligence 56
Countries citing papers authored by Tyler Lee
This map shows the geographic impact of Tyler Lee'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 Tyler Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler Lee more than expected).
Fields of papers citing papers by Tyler Lee
This network shows the impact of papers produced by Tyler Lee. 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 Tyler Lee. The network helps show where Tyler Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Tyler Lee, 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 | 2016 | 105 | |
| 2 | 2019 | 81 | |
| 3 | 2013 | 51 | |
| 4 | 2020 | 13 | |
| 5 | Infant feeding practices among Sudanese women now living in regional south east Queensland, Australia. | 2014 | 11 |
| 6 | 2015 | 9 | |
| 7 | 2020 | 6 | |
| 8 | Generalization in multitask deep neural classifiers: a statistical physics approach | 2019 | 3 |
| 9 | 2024 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2021 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2024 | 0 |
About Tyler Lee
Tyler Lee is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Molecular Biology, General Health Professions and Astronomy and Astrophysics, having authored 14 papers that have together received 286 indexed citations. Recurring topics across this work include Neural dynamics and brain function (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Cell Image Analysis Techniques (1 paper), Advanced NMR Techniques and Applications (1 paper), Face Recognition and Perception (1 paper), NMR spectroscopy and applications (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Statistical Mechanics and Entropy (1 paper). The work is most often cited by research in Cognitive Neuroscience (120 citations), Developmental Biology (10 citations), Signal Processing (28 citations), Experimental and Cognitive Psychology (23 citations) and Artificial Intelligence (56 citations). Tyler Lee has collaborated with scholars based in United States and Australia. Frequent co-authors include Frédéric E. Theunissen, Shinji Nishimoto, Jack L. Gallant, Alexander G. Huth, Natalia Y. Bilenko, An T. Vu, Robert C. Moore, Anthony Ndirango, Oğuz H. Elibol and Gokce Keskin. Their work appears in journals such as Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Applied Clinical Informatics, PLoS Computational Biology, IEEE Access and PLoS ONE.
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.