Jun‐Hak Lee

1k citations
38 papers · 826 · h-index 13

Impact in

Papers in

Jun‐Hak Lee

37 papers receiving 793 citations

Peers

Jun‐Hak Lee
Comparison fields: 5 of 83
  • Environmental Engineering 318
  • Management, Monitoring, Policy and Law 84
  • Global and Planetary Change 139
  • Cognitive Neuroscience 136
  • Media Technology 42
Replace Tsuyoshi Honjo with:
Tsuyoshi Honjo Japan
Ebadat Ghanbari Parmehr Iran
Geoffrey J. Levermore United Kingdom
Masato Katoh Japan
Ganesh Padmanabhan United States
Trevor J. Davis United States
Szymon Chmielewski Poland
Richard H. Chen United States
Yongmin Kim South Korea
Akira Hirano Japan
Jun‐Hak Lee relative to Tsuyoshi Honjo Japan Tsuyoshi Honjo's profile →
Citations per field
00.5×2×4×5.9×
Tsuyoshi Honjo · 1×
Citations per year

Countries citing papers authored by Jun‐Hak Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun‐Hak Lee Line = papers co-authored together Jun‐Hak Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007217
2 201894
3 201154
4 201653
5 201550
6 201547
7 201734
8 201532
9 201631
10 201923
11 201617
12 201615
13 200913
14 201913
15 202213
16 202212
17 202412
18
Spatio-temporal change prediction and variability of temperature and precipitation
200710
19 20179
20 20258

About Jun‐Hak Lee

Jun‐Hak Lee is a scholar working on Cognitive Neuroscience, Environmental Engineering, Management, Monitoring, Policy and Law, Global and Planetary Change and Experimental and Cognitive Psychology, having authored 38 papers that have together received 826 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Remote Sensing and LiDAR Applications (5 papers), Flood Risk Assessment and Management (4 papers), Urban Arborization and Environmental Studies (4 papers), Inertial Sensor and Navigation (2 papers), Emotion and Mood Recognition (2 papers), Color Science and Applications (2 papers) and GNSS positioning and interference (2 papers). The work is most often cited by research in Environmental Engineering (318 citations), Management, Monitoring, Policy and Law (84 citations), Global and Planetary Change (139 citations), Cognitive Neuroscience (136 citations) and Media Technology (42 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, Peng Gong, Greg S. Biging, Yekang Ko, E. Gregory McPherson, Jeong‐Hwan Lim, Chang‐Hwan Im, Seong Jin Noh and Seungsoo Lee. Their work appears in journals such as Psychophysiology, Urban forestry & urban greening, Journal of the Society for Information Display, Microsystem Technologies and Biomedical Signal Processing and Control.

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.

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