Location-based service using ontology-based semantic queries: A study with a focus on indoor activities in a university context. - Kangjae Lee; Jiyeong Lee; Mei-Po Kwan (Comput. Environ. Urban Syst., 2017)

Environmental Influences on Leisure-Time Physical Inactivity in the U.S.: An Exploration of Spatial Non-Stationarity. - Jue Wang 007; Kangjae Lee; Mei-Po Kwan (ISPRS Int. J. Geo Inf., 2018)

Automatic physical activity and in-vehicle status classification based on GPS and accelerometer data: A hierarchical classification approach using machine learning techniques. - Kangjae Lee; Mei-Po Kwan (Trans. GIS, 2018)

Physical activity classification in free-living conditions using smartphone accelerometer data and exploration of predicted results. - Kangjae Lee; Mei-Po Kwan (Comput. Environ. Urban Syst., 2018)

The Effects of GPS-Based Buffer Size on the Association between Travel Modes and Environmental Contexts. - Kangjae Lee; Mei-Po Kwan (ISPRS Int. J. Geo Inf., 2019)

Integration of GIS and machine learning techniques to investigate the impact of environmental contexts on travel modes - Kangjae Lee (2019)

An Integrated Individual Environmental Exposure Assessment System for Real-Time Mobile Sensing in Environmental Health Studies. - Jue Wang 007; Lirong Kou; Mei-Po Kwan; Rebecca Marie Shakespeare; Kangjae Lee; Yoo Min Park (Sensors, 2021)

Interpretation of contextual influences with explanatory tools: Travel mode likelihood mapping using GPS trajectories. - Kangjae Lee; Mei-Po Kwan (Trans. GIS, 2021)

Is college students' trajectory associated with academic performance? - Hyoungjoon Lim; Soohyun Kim; Kyong-Mee Chung; Kangjae Lee; Taewhan Kim 002; Joon Heo (Comput. Educ., 2022)

Development of a Conceptual Data Model for 3D Geospatial Road Management Based on LandInfra Standard: A Case Study of Korea. - Munkhbaatar Buuveibaatar; Kangjae Lee; Wonhee Lee (ISPRS Int. J. Geo Inf., 2022)

How the physical inactivity is affected by social-, economic- and physical-environmental factors: an exploratory study using the machine learning approach. - Kangjae Lee; Jue Wang 007; Joon Heo (Int. J. Digit. Earth, 2023)

Socioeconomic Disparities in the Usage of Urban Opportunities in South Korea During the COVID-19 Pandemic: Using Land Use/Land Cover and Mobile Phone Data. - Kangjae Lee; Yoo Min Park; Yoohyung Joo; Minsoo Joo; Joon Heo (ISPRS Int. J. Geo Inf., 2024)

Comparison of Different Green Space Measures and Their Impact on Dementia Cases in South Korea: A Spatial Panel Analysis. - Wulan Salle Karurung; Kangjae Lee; Wonhee Lee (ISPRS Int. J. Geo Inf., 2024)

Examining the joint effect of air pollution and green spaces on stress levels in South Korea: using machine learning techniques. - Khadija Ashraf; Yoo Min Park; Matthew H. E. M. Browning; Jue Wang 007; Ruoyu Wang 011; Kangjae Lee (Int. J. Digit. Earth, 2024)

Assessment of forest fire vulnerability prediction in Indonesia: Seasonal variability analysis using machine learning techniques. - Wulan Salle Karurung; Kangjae Lee; Wonhee Lee (Int. J. Appl. Earth Obs. Geoinformation, 2025)