Kangjae Lee

1.4k total citations · 1 hit paper
32 papers, 1.1k citations indexed

About

Kangjae Lee is a scholar working on Health, Toxicology and Mutagenesis, Global and Planetary Change and Transportation. According to data from OpenAlex, Kangjae Lee has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Health, Toxicology and Mutagenesis, 10 papers in Global and Planetary Change and 8 papers in Transportation. Recurrent topics in Kangjae Lee's work include Urban Green Space and Health (11 papers), Urban Transport and Accessibility (8 papers) and Land Use and Ecosystem Services (8 papers). Kangjae Lee is often cited by papers focused on Urban Green Space and Health (11 papers), Urban Transport and Accessibility (8 papers) and Land Use and Ecosystem Services (8 papers). Kangjae Lee collaborates with scholars based in South Korea, United States and Netherlands. Kangjae Lee's co-authors include Matthew H.E.M. Browning, Mei‐Po Kwan, Alessandro Rigolon, Seunguk Shin, Ming Kuo, Sonya Sachdeva, Lynne M. Westphal, Jiyeong Lee, Kathleen L. Wolf and Jue Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, World Development and Computers & Education.

In The Last Decade

Kangjae Lee

29 papers receiving 1.1k citations

Hit Papers

Access to Urban Green Space in Cities of the Global South... 2018 2026 2020 2023 2018 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Access to Urban Green Space in Cities of the Global South: A Systematic Literature Review
    2018 279 citations Matthew H.E.M. Browning, Kangjae Lee et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kangjae Lee South Korea 15 740 329 252 232 226 32 1.1k
S.M. Labib Netherlands 16 951 1.3× 539 1.6× 484 1.9× 283 1.2× 205 0.9× 40 1.4k
Antònia Valentín Spain 19 1.1k 1.6× 320 1.0× 361 1.4× 519 2.2× 329 1.5× 34 1.6k
Shixian Luo China 14 476 0.6× 310 0.9× 121 0.5× 83 0.4× 126 0.6× 40 752
Cynthia Girling Canada 12 628 0.8× 459 1.4× 240 1.0× 101 0.4× 162 0.7× 28 868
Perver Baran United States 15 770 1.0× 351 1.1× 125 0.5× 150 0.6× 513 2.3× 27 1.1k
Chengzhao Wu China 12 396 0.5× 194 0.6× 120 0.5× 103 0.4× 111 0.5× 24 577
Yujia Zhai China 14 488 0.7× 255 0.8× 82 0.3× 86 0.4× 245 1.1× 23 648
Zihan Kan Hong Kong 22 428 0.6× 388 1.2× 212 0.8× 138 0.6× 630 2.8× 67 1.4k
Gerd Weitkamp Netherlands 13 264 0.4× 173 0.5× 94 0.4× 66 0.3× 247 1.1× 36 665
Jie Yin China 15 797 1.1× 129 0.4× 207 0.8× 205 0.9× 51 0.2× 34 1.2k

Countries citing papers authored by Kangjae Lee

Since Specialization
Citations

This map shows the geographic impact of Kangjae 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 Kangjae Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kangjae Lee more than expected).

Fields of papers citing papers by Kangjae Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kangjae 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 Kangjae Lee. The network helps show where Kangjae Lee may publish in the future.

Co-authorship network of co-authors of Kangjae Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kangjae Lee. A scholar is included among the top collaborators of Kangjae 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 Kangjae Lee. Kangjae 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.
Lee, Kangjae, et al.. (2025). Assessment of forest fire vulnerability prediction in Indonesia: Seasonal variability analysis using machine learning techniques. International Journal of Applied Earth Observation and Geoinformation. 138. 104435–104435. 3 indexed citations
2.
Park, Yoo Min, et al.. (2024). Examining the joint effect of air pollution and green spaces on stress levels in South Korea: using machine learning techniques. International Journal of Digital Earth. 17(1). 2 indexed citations
3.
4.
Lee, Kangjae, et al.. (2024). Sales in Commercial Alleys and Their Association with Air Pollution: Case Study in South Korea. Sustainability. 16(2). 530–530.
5.
Lee, Kangjae, et al.. (2024). Comparison of Different Green Space Measures and Their Impact on Dementia Cases in South Korea: A Spatial Panel Analysis. ISPRS International Journal of Geo-Information. 13(4). 126–126. 1 indexed citations
6.
Lee, Kangjae, Matthew H.E.M. Browning, & Yoo Min Park. (2023). Spatiotemporal non-stationarity in green space and stress relationships: Recent evidence from South Korea. Environmental Research. 220. 115214–115214. 4 indexed citations
7.
Lee, Kangjae, et al.. (2023). Developing an LADM Valuation Information Model for Mongolia. Land. 12(4). 893–893. 5 indexed citations
8.
9.
Lee, Kangjae, et al.. (2022). Implementation of the LADM-Based Cadastral Model for Mongolia towards Transition to a 3D Cadastre. Land. 11(11). 2014–2014. 4 indexed citations
10.
Lee, Kangjae. (2022). Association between depression and green space before and after the COVID-19: Panel data evidence in South Korea. Journal of the Korean Society of Surveying Geodesy Photogrammetry and Cartography. 40(6). 459–467. 3 indexed citations
11.
12.
Chung, Kyong‐Mee, et al.. (2021). Is college students’ trajectory associated with academic performance?. Computers & Education. 178. 104397–104397. 17 indexed citations
13.
Lee, Kangjae & Mei‐Po Kwan. (2019). The Effects of GPS-Based Buffer Size on the Association between Travel Modes and Environmental Contexts. ISPRS International Journal of Geo-Information. 8(11). 514–514. 23 indexed citations
14.
Kuo, Ming, Matthew H.E.M. Browning, Sonya Sachdeva, Kangjae Lee, & Lynne M. Westphal. (2018). Might School Performance Grow on Trees? Examining the Link Between “Greenness” and Academic Achievement in Urban, High-Poverty Schools. Frontiers in Psychology. 9. 1669–1669. 90 indexed citations
15.
Wang, Jue, Kangjae Lee, & Mei‐Po Kwan. (2018). Environmental Influences on Leisure-Time Physical Inactivity in the U.S.: An Exploration of Spatial Non-Stationarity. ISPRS International Journal of Geo-Information. 7(4). 143–143. 24 indexed citations
16.
17.
Browning, Matthew H.E.M. & Kangjae Lee. (2017). Within What Distance Does “Greenness” Best Predict Physical Health? A Systematic Review of Articles with GIS Buffer Analyses across the Lifespan. International Journal of Environmental Research and Public Health. 14(7). 675–675. 237 indexed citations
18.
Lee, Kangjae, Jiyeong Lee, & Mei‐Po Kwan. (2016). Location-based service using ontology-based semantic queries: A study with a focus on indoor activities in a university context. Computers Environment and Urban Systems. 62. 41–52. 39 indexed citations
19.
Mansor, Shuhaimi, et al.. (2014). Flow Visualization and Measurement of a Synthetic Jet Actuator Performance Using PIV System. Jurnal Teknologi. 71(2).
20.
Lee, Kangjae, et al.. (2013). Topological Analysis in Indoor Shopping Mall using Ontology. Journal of the Korean Society of Surveying Geodesy Photogrammetry and Cartography. 31(6_2). 511–520. 4 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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