| 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 | 335 | 2019 |
| Impact assessment of reinforced learning methods on construction workers' fall risk behavior using virtual reality Y Shi, J Du, CR Ahn, E Ragan Automation in Construction 104, 197-214, 2019 | 266 | 2019 |
| Automated methods for activity recognition of construction workers and equipment: State-of-the-art review B Sherafat, CR Ahn, R Akhavian, AH Behzadan, M Golparvar-Fard, H Kim, ... Journal of Construction Engineering and Management 146 (6), 03120002, 2020 | 264 | 2020 |
| Construction worker's awkward posture recognition through supervised motion tensor decomposition J Chen, J Qiu, C Ahn Automation in Construction 77, 67-81, 2017 | 249 | 2017 |
| 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 | 239 | 2016 |
| Fall risk analysis of construction workers using inertial measurement units: Validating the usefulness of the postural stability metrics in construction H Jebelli, CR Ahn, TL Stentz Safety science 84, 161-170, 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 | 151 | 2017 |
| Comprehensive fall-risk assessment of construction workers using inertial measurement units: Validation of the gait-stability metric to assess the fall risk of iron workers H Jebelli, CR Ahn, TL Stentz Journal of Computing in Civil Engineering 30 (3), 04015034, 2016 | 131 | 2016 |
| Application of dynamic time warping to the recognition of mixed equipment activities in cycle time measurement H Kim, CR Ahn, D Engelhaupt, SH Lee Automation in Construction 87, 225-234, 2018 | 127 | 2018 |
| Application of low-cost accelerometers for measuring the operational efficiency of a construction equipment fleet CR Ahn, SH Lee, F Peña-Mora Journal of Computing in Civil Engineering 29 (2), 04014042, 2015 | 120 | 2015 |
| A review of approaches for sensing, understanding, and improving occupancy-related energy-use behaviors in commercial buildings HN Rafsanjani, CR Ahn, M Alahmad Energies 8 (10), 10996-11029, 2015 | 100 | 2015 |
| Assessing occupants’ energy load variation through existing wireless network infrastructure in commercial and educational buildings J Chen, C Ahn Energy and Buildings 82, 540-549, 2014 | 99 | 2014 |
| Predicting workers’ inattentiveness to struck-by hazards by monitoring biosignals during a construction task: A virtual reality experiment N Kim, J Kim, CR Ahn Advanced Engineering Informatics 49, 101359, 2021 | 96 | 2021 |
| Deep learning-based classification of work-related physical load levels in construction K Yang, CR Ahn, H Kim Advanced Engineering Informatics 45, 101104, 2020 | 92 | 2020 |
| 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 | 90 | 2017 |
| Importance of Operational Efficiency to Achieve Energy Efficiency and Exhaust Emission Reduction of Construction Operations CR Ahn, SH Lee Journal of Construction Engineering and Management, 2012 | 86 | 2012 |
| Sustainability analysis of earthmoving operations C Ahn, JC Martinez, PV Rekapalli, FA Peña-Mora Proceedings of the 2009 Winter Simulation Conference (WSC), 2605-2611, 2009 | 86 | 2009 |
| Linking building energy consumption with occupants’ energy-consuming behaviors in commercial buildings: Non-intrusive occupant load monitoring (NIOLM) HN Rafsanjani, CR Ahn, J Chen Energy and buildings 172, 317-327, 2018 | 84 | 2018 |
| 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 | 81 | 2014 |
| 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 | 80 | 2020 |
SangHyun LeeRobert B. Harris Collegiate Professor of Engineering, University of MichiganVerified email at umich.edu
