Daeyeol Lee
- Cognitive Neuroscience top 0.1%
- Neural dynamics and brain function 63
- Neural and Behavioral Psychology Studies 62
- Memory and Neural Mechanisms 36
- Visual perception and processing mechanisms 16
- EEG and Brain-Computer Interfaces 12
- Functional Brain Connectivity Studies 11
- General Decision Sciences top 0.5%
- Decision-Making and Behavioral Economics 12
- Cellular and Molecular Neuroscience top 0.5%
- Neurotransmitter Receptor Influence on Behavior 17
- Behavioral Neuroscience top 2%
- Co-authors
- Hyojung SeoDominic J. BarracloughMin Whan JungBruno B. AverbeckSoyoun KimMichelle ConroyXiao‐Jing WangApostolos P. Georgopoulos
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Daeyeol Lee
129 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Cognitive Neuroscience 6.9k
- General Decision Sciences 591
- Cellular and Molecular Neuroscience 2.3k
- Behavioral Neuroscience 251
- Experimental and Cognitive Psychology 699
Countries citing papers authored by Daeyeol Lee
This map shows the geographic impact of Daeyeol 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 Daeyeol Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daeyeol Lee more than expected).
Fields of papers citing papers by Daeyeol Lee
This network shows the impact of papers produced by Daeyeol 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 Daeyeol Lee. The network helps show where Daeyeol Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daeyeol 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 | 2025 | 1 | |
| 2 | 2022 | 2 | |
| 3 | 2022 | 4 | |
| 4 | 2021 | 20 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 27 | |
| 7 | 2020 | 68 | |
| 8 | 2020 | 9 | |
| 9 | 2020 | 15 | |
| 10 | 2020 | 12 | |
| 11 | 2019 | 57 | |
| 12 | 2019 | 49 | |
| 13 | 2018 | 23 | |
| 14 | 2017 | 38 | |
| 15 | 2017 | 31 | |
| 16 | 2017 | 50 | |
| 17 | 2016 | 9 | |
| 18 | 2015 | 66 | |
| 19 | A hierarchy of intrinsic timescales across primate cortexbreakdown → | 2014 | 576 |
| 20 | 2012 | 5 |
About Daeyeol Lee
Daeyeol Lee is a scholar working on General Decision Sciences, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 133 papers that have together received 8.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (63 papers), Neural and Behavioral Psychology Studies (62 papers), Memory and Neural Mechanisms (36 papers), Neurotransmitter Receptor Influence on Behavior (17 papers), Visual perception and processing mechanisms (16 papers), Decision-Making and Behavioral Economics (12 papers), EEG and Brain-Computer Interfaces (12 papers) and Functional Brain Connectivity Studies (11 papers). The work is most often cited by research in Cognitive Neuroscience (6.9k citations), General Decision Sciences (591 citations) and Cellular and Molecular Neuroscience (2.3k citations). Daeyeol Lee has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Hyojung Seo, Dominic J. Barraclough, Min Whan Jung, Bruno B. Averbeck, Soyoun Kim, Michelle Conroy, Xiao‐Jing Wang, Apostolos P. Georgopoulos, Nicholas Port and Jung Hoon Sul. Their work appears in journals such as Journal of Neuroscience, Neuron, Nature Neuroscience, Journal of Neurophysiology and Biological Psychiatry.
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.