Jae-Ik Lee
- Environmental Engineering top 10%
- Cognitive Neuroscience top 10%
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- Advanced Memory and Neural Computing 9
- Advanced MEMS and NEMS Technologies 9
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- Neuroscience and Neural Engineering 12
- Photoreceptor and optogenetics research 9
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- Advanced Sensor and Energy Harvesting Materials 5
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- Mechanical and Optical Resonators 15
- Force Microscopy Techniques and Applications 3
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- Carbon Nanotubes in Composites 9
- Journals
- Journal of Power Sources (1 paper)Carbon (1 paper)IEEE Transactions on Industrial Electronics (1 paper)
- Partner nations
- South KoreaUnited StatesAustria
In The Last Decade
Jae-Ik Lee
40 papers receiving 545 citations
Peers
Comparison fields: 5 of 57
- Environmental Engineering 108
- Cognitive Neuroscience 133
- Electrical and Electronic Engineering 319
- Cellular and Molecular Neuroscience 100
- Biomedical Engineering 232
Countries citing papers authored by Jae-Ik Lee
This map shows the geographic impact of Jae-Ik 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 Jae-Ik Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae-Ik Lee more than expected).
Fields of papers citing papers by Jae-Ik Lee
This network shows the impact of papers produced by Jae-Ik 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 Jae-Ik Lee. The network helps show where Jae-Ik Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jae-Ik 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 | 2024 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 10 | |
| 7 | 2021 | 1 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 1 | |
| 10 | 2018 | 19 | |
| 11 | 2017 | 5 | |
| 12 | 2017 | 0 | |
| 13 | 2017 | 23 | |
| 14 | 2014 | 14 | |
| 15 | 2014 | 98 | |
| 16 | 2013 | 2 | |
| 17 | 2011 | 4 | |
| 18 | Acoustic Nonlinearity of Surface Wave and Experimental Verification of Characteristics | 2009 | 1 |
| 19 | Evaluation of Surface Fatigue Degradation Using Acoustic Nonlinearity of Surface Wave | 2009 | 1 |
| 20 | 2009 | 6 |
About Jae-Ik Lee
Jae-Ik Lee is a scholar working on Cellular and Molecular Neuroscience, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 41 papers that have together received 557 indexed citations. Recurring topics across this work include Mechanical and Optical Resonators (15 papers), Neuroscience and Neural Engineering (12 papers), Photoreceptor and optogenetics research (9 papers), Advanced Memory and Neural Computing (9 papers), Advanced MEMS and NEMS Technologies (9 papers), Carbon Nanotubes in Composites (9 papers), Advanced Sensor and Energy Harvesting Materials (5 papers) and Force Microscopy Techniques and Applications (3 papers). The work is most often cited by research in Environmental Engineering (108 citations), Cognitive Neuroscience (133 citations) and Electrical and Electronic Engineering (319 citations). Jae-Ik Lee has collaborated with scholars based in South Korea, United States and Austria. Frequent co-authors include Jongbaeg Kim, Soonjae Pyo, Maesoon Im, Min‐Ook Kim, Youngkee Eun, Jungwook Choi, Junseok Chae, Hao Ren, Youngsup Song and Soo‐Chul Lim. Their work appears in journals such as Journal of Power Sources, Carbon and IEEE Transactions on Industrial Electronics.
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.