Jun‐Hak Lee
Impact in
- Environmental Engineering top 2%
- Remote Sensing and LiDAR Applications
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- Forest ecology and management
Papers in
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- Remote Sensing and LiDAR Applications 7
- Urban Heat Island Mitigation 5
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- EEG and Brain-Computer Interfaces 8
- Neural dynamics and brain function 4
- Co-authors
- Doo-Ahn Kwak (3 shared papers)Woo‐Kyun Lee (2 shared papers)Greg S. Biging (2 shared papers)Peng Gong (2 shared papers)E. Gregory McPherson (4 shared papers)Yekang Ko (3 shared papers)Jeong‐Hwan Lim (8 shared papers)Chang‐Hwan Im (8 shared papers)
- Journals
- Urban forestry & urban greening (3 papers)Psychophysiology (2 papers)Journal of the Society for Information Display (1 paper)Enzyme and Microbial Technology (1 paper)Photogrammetric Engineering & Remote Sensing (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jun‐Hak Lee
40 papers receiving 829 citations
Peers
Comparison fields: 5 of 98
- Environmental Engineering 383
- Nature and Landscape Conservation 190
- Global and Planetary Change 233
- Geology 58
- Ecology 206
Countries citing papers authored by Jun‐Hak Lee
This map shows the geographic impact of Jun‐Hak 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 Jun‐Hak Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐Hak Lee more than expected).
Fields of papers citing papers by Jun‐Hak Lee
This network shows the impact of papers produced by Jun‐Hak 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 Jun‐Hak Lee. The network helps show where Jun‐Hak Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐Hak 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
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 217 | |
| 2 | 2018 | 85 | |
| 3 | 2011 | 54 | |
| 4 | 2016 | 54 | |
| 5 | 2015 | 51 | |
| 6 | 2015 | 46 | |
| 7 | 2017 | 35 | |
| 8 | 2016 | 32 | |
| 9 | 2015 | 31 | |
| 10 | 2011 | 29 | |
| 11 | 2019 | 21 | |
| 12 | 2016 | 17 | |
| 13 | 2016 | 15 | |
| 14 | 2022 | 13 | |
| 15 | 2009 | 13 | |
| 16 | 2019 | 12 | |
| 17 | 2019 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2023 | 12 | |
| 20 | Spatio-temporal change prediction and variability of temperature and precipitation | 2007 | 10 |
About Jun‐Hak Lee
Jun‐Hak Lee is a scholar working on Environmental Engineering, Cognitive Neuroscience, Health, Toxicology and Mutagenesis, Global and Planetary Change and Ecology, having authored 42 papers that have together received 859 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Remote Sensing and LiDAR Applications (7 papers), Urban Green Space and Health (5 papers), Urban Heat Island Mitigation (5 papers), Flood Risk Assessment and Management (4 papers), Remote Sensing in Agriculture (4 papers), Gaze Tracking and Assistive Technology (4 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Environmental Engineering (383 citations), Nature and Landscape Conservation (190 citations), Global and Planetary Change (233 citations), Geology (58 citations) and Ecology (206 citations). Jun‐Hak Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Doo-Ahn Kwak, Woo‐Kyun Lee, Greg S. Biging, Peng Gong, E. Gregory McPherson, Yekang Ko, Jeong‐Hwan Lim, Chang‐Hwan Im, Seong Jin Noh and Seungsoo Lee. Their work appears in journals such as Urban forestry & urban greening, Psychophysiology, Journal of the Society for Information Display, Enzyme and Microbial Technology and Photogrammetric Engineering & Remote Sensing.
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.