| Wearable sensing technology applications in construction safety and health CR Ahn, SH Lee, C Sun, H Jebelli, K Yang, B Choi Journal of Construction Engineering and Management 145 (11), 03119007, 2019 | 195 | 2019 |
| Semi-supervised near-miss fall detection for ironworkers with a wearable inertial measurement unit K Yang, CR Ahn, MC Vuran, SS Aria Automation in construction 68, 194-202, 2016 | 187 | 2016 |
| Collective sensing of workers' gait patterns to identify fall hazards in construction K Yang, CR Ahn, MC Vuran, H Kim Automation in construction 82, 166-178, 2017 | 131 | 2017 |
| Identifying safety hazards using collective bodily responses of workers H Kim, CR Ahn, K Yang Journal of Construction Engineering and Management 143 (2), 04016090, 2017 | 72 | 2017 |
| Automated detection of near-miss fall incidents in iron workers using inertial measurement units K Yang, S Aria, CR Ahn, TL Stentz Construction Research Congress 2014: Construction in a Global Network, 935-944, 2014 | 69 | 2014 |
| Deep learning-based classification of work-related physical load levels in construction K Yang, CR Ahn, H Kim Advanced Engineering Informatics 45, 101104, 2020 | 54 | 2020 |
| Detecting excessive load-carrying tasks using a deep learning network with a Gramian Angular Field H Lee, K Yang, N Kim, CR Ahn Automation in Construction 120, 103390, 2020 | 53 | 2020 |
| Validating ambulatory gait assessment technique for hazard sensing in construction environments K Yang, CR Ahn, H Kim Automation in Construction 98, 302-309, 2019 | 45 | 2019 |
| Inferring workplace safety hazards from the spatial patterns of workers’ wearable data K Yang, CR Ahn Advanced Engineering Informatics 41, 100924, 2019 | 43 | 2019 |
| A people-centric sensing approach to detecting sidewalk defects H Kim, CR Ahn, K Yang Advanced engineering informatics 30 (4), 660-671, 2016 | 39 | 2016 |
| Threshold-based approach to detect near-miss falls of iron workers using inertial measurement units K Yang, H Jebelli, CR Ahn, MC Vuran Computing in Civil Engineering 2015, 148-155, 2015 | 37 | 2015 |
| Sensing workers gait abnormality for safety hazard identification K Yang, CR Ahn, MC Vuran, H Kim ISARC. Proceedings of the International Symposium on Automation and Robotics …, 2016 | 15 | 2016 |
| Wearable acceleration-based action recognition for long-term and continuous activity analysis in construction site Y Gong, K Yang, JO Seo, JG Lee Journal of Building Engineering 52, 104448, 2022 | 14 | 2022 |
| Assessing the Effects of Tool-Loading Formation on Construction Workers’ Postural Stability H Jebelli, K Yang, MM Khalili, CR Ahn, T Stentz Construction Research Congress 2018, 292-302, 2018 | 11 | 2018 |
| Towards effective safety cost budgeting for apartment construction: A case study of occupational safety and health expenses in South Korea K Yang, K Kim, S Go Sustainability 13 (3), 1335, 2021 | 10 | 2021 |
| Tracking Divergence in Workers’ Trajectory Patterns for Hazard Sensing in Construction K Yang, CR Ahn, H Kim Construction Research Congress 2018, 126-133, 2018 | 9 | 2018 |
| Analyzing Spatial Patterns of Workers’ Gait Cycles for Locating Latent Fall Hazards K Yang, C Ahn, MC Vuran, H Kim Computing in Civil Engineering 2017, 458-466, 2017 | 7 | 2017 |
| Highly ductile behavior and sustainability of engineered cementitious composites reinforced by PE based selvage fibers JI Choi, SE Park, YM Kim, K Yang, YY Kim, BY Lee Cement and Concrete Composites 134, 104729, 2022 | 6 | 2022 |
| Deciphering workers’ safety attitudes by sensing gait patterns C Sun, CR Ahn, K Yang, T Stentz, H Kim Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk …, 2017 | 6 | 2017 |
| A Near-Miss Fall Detection Technique for Ironworkers Using a Hybrid Machine Learning Approach K Yang, H Kim, CR Ahn, TL Stentz 16th International Conference on Computing in Civil and Building Engineering …, 2016 | 6* | 2016 |
Changbum Ryan AhnAssociate Professor of the Department of Architecture/Architectural EngineeringVerified email at snu.ac.kr
