Jee Eun Lee
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- Advanced Neuroimaging Techniques and Applications 13
- Advanced MRI Techniques and Applications 4
- MRI in cancer diagnosis 3
- Cognitive Neuroscience top 1%
- Functional Brain Connectivity Studies 4
- Computational Mathematics top 5%
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- Fetal and Pediatric Neurological Disorders 7
- Psychiatry and Mental health top 2%
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- Customer Service Quality and Loyalty 3
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- Franchising Strategies and Performance 2
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- Epoxy Resin Curing Processes 2
- Co-authors
- Andrew L. AlexanderMariana LazarAaron S. FieldJanet E. LainhartErin D. BiglerMolly B. DuBrayJudith MillerEun‐Kee Jeong
- Partner nations
- United StatesSouth KoreaSweden
In The Last Decade
Jee Eun Lee
26 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Radiology, Nuclear Medicine and Imaging 2.2k
- Cognitive Neuroscience 1.4k
- Computational Mathematics 28
- Pediatrics, Perinatology and Child Health 653
- Psychiatry and Mental health 489
Countries citing papers authored by Jee Eun Lee
This map shows the geographic impact of Jee Eun 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 Jee Eun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jee Eun Lee more than expected).
Fields of papers citing papers by Jee Eun Lee
This network shows the impact of papers produced by Jee Eun 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 Jee Eun Lee. The network helps show where Jee Eun Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jee Eun 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 | 2023 | 3 | |
| 2 | 2022 | 1 | |
| 3 | 2021 | 7 | |
| 4 | 2020 | 7 | |
| 5 | 2019 | 9 | |
| 6 | 2019 | 2 | |
| 7 | 2019 | 2 | |
| 8 | 2018 | 189 | |
| 9 | 2014 | 13 | |
| 10 | 2012 | 139 | |
| 11 | 2010 | 102 | |
| 12 | 2010 | 23 | |
| 13 | 2009 | 2 | |
| 14 | 2009 | 6 | |
| 15 | 2009 | 13 | |
| 16 | 2008 | 84 | |
| 17 | Diffusion Tensor Imaging of the Brainbreakdown → | 2007 | 2006 |
| 18 | 2007 | 188 | |
| 19 | 2006 | 79 | |
| 20 | 2006 | 457 |
About Jee Eun Lee
Jee Eun Lee is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging, Transplantation, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience, having authored 28 papers that have together received 3.6k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (13 papers), Fetal and Pediatric Neurological Disorders (7 papers), Advanced MRI Techniques and Applications (4 papers), Functional Brain Connectivity Studies (4 papers), MRI in cancer diagnosis (3 papers), Customer Service Quality and Loyalty (3 papers), Franchising Strategies and Performance (2 papers) and Epoxy Resin Curing Processes (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.2k citations), Cognitive Neuroscience (1.4k citations), Computational Mathematics (28 citations), Pediatrics, Perinatology and Child Health (653 citations) and Psychiatry and Mental health (489 citations). Jee Eun Lee has collaborated with scholars based in United States, South Korea and Sweden. Frequent co-authors include Andrew L. Alexander, Mariana Lazar, Aaron S. Field, Janet E. Lainhart, Erin D. Bigler, Molly B. DuBray, Judith Miller, Eun‐Kee Jeong, Jeffrey Lu and William M. McMahon. Their work appears in journals such as NeuroImage, Scientific Reports, Autism Research, Neurotherapeutics and Journal of Small Business Strategy.
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.