Jun‐Hak Lee

1.1k total citations
41 papers, 817 citations indexed

About

Jun‐Hak Lee is a scholar working on Environmental Engineering, Cognitive Neuroscience and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Jun‐Hak Lee has authored 41 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Environmental Engineering, 9 papers in Cognitive Neuroscience and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Jun‐Hak Lee's work include EEG and Brain-Computer Interfaces (8 papers), Remote Sensing and LiDAR Applications (7 papers) and Urban Heat Island Mitigation (5 papers). Jun‐Hak Lee is often cited by papers focused on EEG and Brain-Computer Interfaces (8 papers), Remote Sensing and LiDAR Applications (7 papers) and Urban Heat Island Mitigation (5 papers). Jun‐Hak Lee collaborates with scholars based in South Korea, United States and United Kingdom. Jun‐Hak Lee's co-authors include Doo-Ahn Kwak, Greg S. Biging, Peng Gong, Woo‐Kyun Lee, E. Gregory McPherson, Yekang Ko, Chang‐Hwan Im, Jeong‐Hwan Lim, Seong Jin Noh and Seungsoo Lee and has published in prestigious journals such as Bioresource Technology, Environmental Pollution and Journal of Hydrology.

In The Last Decade

Jun‐Hak Lee

39 papers receiving 784 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun‐Hak Lee South Korea 14 383 226 202 187 141 41 817
Bowei Chen China 17 246 0.6× 237 1.0× 288 1.4× 54 0.3× 175 1.2× 63 940
Han Sun China 14 80 0.2× 355 1.6× 145 0.7× 242 1.3× 76 0.5× 36 754
Hui An China 19 79 0.2× 177 0.8× 222 1.1× 139 0.7× 457 3.2× 104 1.3k
Nathan Downs Australia 21 352 0.9× 383 1.7× 74 0.4× 22 0.1× 82 0.6× 101 1.7k
Abdul Mannan China 16 209 0.5× 247 1.1× 140 0.7× 175 0.9× 8 0.1× 45 719
Martin Wieser Austria 13 382 1.0× 91 0.4× 190 0.9× 154 0.8× 76 0.5× 32 675
Allen Brookes United States 17 76 0.2× 189 0.8× 331 1.6× 129 0.7× 245 1.7× 32 930
Akio Inoue Japan 16 103 0.3× 134 0.6× 101 0.5× 265 1.4× 11 0.1× 80 751
Stephan Völker Germany 8 57 0.1× 645 2.9× 208 1.0× 27 0.1× 96 0.7× 29 937

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-authorship network of co-authors of Jun‐Hak Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Hak Lee. A scholar is included among the top collaborators of Jun‐Hak Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun‐Hak Lee. Jun‐Hak Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kim, Minyoung, et al.. (2025). FLO-SR: Deep learning-based urban flood super-resolution model. Journal of Hydrology. 661. 133529–133529. 3 indexed citations
2.
Lee, Jun‐Hak, Daewoong Jung, Jihoon Moon, & Seungmin Rho. (2024). Advanced R-GAN: Generating anomaly data for improved detection in imbalanced datasets using regularized generative adversarial networks. Alexandria Engineering Journal. 111. 491–510. 6 indexed citations
3.
Lee, Jun‐Hak, et al.. (2024). (POSTER) Enhancing Structural Health Monitoring with On-device AI. 762–764. 1 indexed citations
4.
Ponette‐González, Alexandra G., et al.. (2023). Modeling black carbon removal by city trees: Implications for urban forest planning. Urban forestry & urban greening. 86. 128013–128013. 5 indexed citations
5.
Minson, Christopher T., et al.. (2023). Significance of dynamic over static solar screens on thermal perception in perimeter offices under different sky conditions. Building and Environment. 234. 110153–110153. 2 indexed citations
6.
Gaur, Vivek Kumar, et al.. (2023). Metabolic engineering of Escherichia coli for biological production of 1, 3-Butanediol. Bioresource Technology. 376. 128911–128911. 12 indexed citations
7.
Lee, Jun‐Hak, et al.. (2023). SENTIMENT ANALYSIS MODEL FOR PUBLIC CONSTRUCTION PROJECTS USING KOBERT. 359–366. 1 indexed citations
8.
Ponette‐González, Alexandra G., et al.. (2022). Urban edge trees: Urban form and meteorology drive elemental carbon deposition to canopies and soils. Environmental Pollution. 314. 120197–120197. 12 indexed citations
9.
Lee, Jun‐Hak, et al.. (2022). Verification of De-Identification Techniques for Personal Information Using Tree-Based Methods with Shapley Values. Journal of Personalized Medicine. 12(2). 190–190. 13 indexed citations
10.
Lee, Jun‐Hak, Kae Kyoung Kwon, Jaeho Song, et al.. (2019). Isolation, cultivation, and genome analysis of proteorhodopsin-containing SAR116-clade strain Candidatus Puniceispirillum marinum IMCC1322. The Journal of Microbiology. 57(8). 676–687. 12 indexed citations
11.
Noh, Seong Jin, Jun‐Hak Lee, Seungsoo Lee, & Dong‐Jun Seo. (2019). Retrospective Dynamic Inundation Mapping of Hurricane Harvey Flooding in the Houston Metropolitan Area Using High-Resolution Modeling and High-Performance Computing. Water. 11(3). 597–597. 19 indexed citations
12.
Noh, Seong Jin, Jun‐Hak Lee, Seungsoo Lee, Kenji Kawaike, & Dong‐Jun Seo. (2018). Hyper-resolution 1D-2D urban flood modelling using LiDAR data and hybrid parallelization. Environmental Modelling & Software. 103. 131–145. 82 indexed citations
13.
Han, Chang Hee, Jun‐Hak Lee, Jeong‐Hwan Lim, Yong-Wook Kim, & Chang‐Hwan Im. (2017). Global Electroencephalography Synchronization as a New Indicator for Tracking Emotional Changes of a Group of Individuals during Video Watching. Frontiers in Human Neuroscience. 11. 577–577. 8 indexed citations
14.
Lee, Jun‐Hak, Yekang Ko, & E. Gregory McPherson. (2016). The feasibility of remotely sensed data to estimate urban tree dimensions and biomass. Urban forestry & urban greening. 16. 208–220. 51 indexed citations
15.
Roman, Lara A., et al.. (2016). Does tree planting pay us back? Lessons from Sacramento, CA. 50–54. 3 indexed citations
16.
Ko, Yekang, Jun‐Hak Lee, E. Gregory McPherson, & Lara A. Roman. (2015). Factors affecting long-term mortality of residential shade trees: Evidence from Sacramento, California. Urban forestry & urban greening. 14(3). 500–507. 30 indexed citations
17.
Lee, Jun‐Hak, et al.. (2011). Improvement of enzymatic biodiesel production by controlled substrate feeding using silica gel in solvent free system. Enzyme and Microbial Technology. 49(4). 402–406. 26 indexed citations
18.
Kim, So Ra, Woo‐Kyun Lee, Doo-Ahn Kwak, et al.. (2011). Forest Cover Classification by Optimal Segmentation of High Resolution Satellite Imagery. Sensors. 11(2). 1943–1958. 51 indexed citations
19.
Bigham, John, et al.. (2009). Geocoding police collision report data from California: a comprehensive approach. International Journal of Health Geographics. 8(1). 72–72. 12 indexed citations
20.
Lee, Jun‐Hak, et al.. (2007). Spatio-temporal change prediction and variability of temperature and precipitation. Spatial Information Research. 15(3). 267–278. 10 indexed citations

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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