| An empirical analysis of environmental pollutants on building construction sites for determining the real-time monitoring indices J Hong, H Kang, S Jung, S Sung, T Hong, HS Park, DE Lee Building and environment 170, 106636, 2020 | 50 | 2020 |
| Development of a real-time automated monitoring system for managing the hazardous environmental pollutants at the construction site H Kang, S Sung, J Hong, S Jung, T Hong, HS Park, DE Lee Journal of Hazardous Materials 402, 123483, 2021 | 39 | 2021 |
| A framework for reducing dust emissions and energy consumption on construction sites. J Hong, T Hong, H Kang, M Lee Energy Procedia 158, 5092-5096, 2019 | 39 | 2019 |
| Oversampling-based prediction of environmental complaints related to construction projects with imbalanced empirical-data learning J Hong, H Kang, T Hong Renewable and Sustainable Energy Reviews 134, 110402, 2020 | 28 | 2020 |
| Towards environmental sustainability in the local community: Future insights for managing the hazardous pollutants at construction sites J Hong, H Kang, J An, J Choi, T Hong, HS Park, DE Lee Journal of Hazardous Materials 403, 123804, 2021 | 21 | 2021 |
| Development of a prediction model for the proportion of buildings exposed to construction noise in excess of the construction noise regulation at urban construction sites J Hong, H Kang, T Hong, HS Park, DE Lee Automation in Construction 125, 103656, 2021 | 17 | 2021 |
| An automatic decision model for optimal noise barrier plan in terms of health impact, productivity, and cost aspects J Choi, J Hong, H Kang, T Hong, HS Park, DE Lee Building and Environment 216, 109033, 2022 | 12 | 2022 |
| A bi-level reinforcement learning model for optimal scheduling and planning of battery energy storage considering uncertainty in the energy-sharing community H Kang, S Jung, J Jeoung, J Hong, T Hong Sustainable Cities and Society 94, 104538, 2023 | 11 | 2023 |
| Advanced real-time pollutant monitoring systems for automatic environmental management of construction projects focusing on field applicability T Hong, S Sung, H Kang, J Hong, H Kim, DE Lee Journal of Management in Engineering 38 (1), 04021075, 2022 | 11 | 2022 |
| Construction noise rating based on legal and health impacts J Hong, H Kang, T Hong, HS Park, DE Lee Automation in Construction 134, 104053, 2022 | 8 | 2022 |
| Determining the optimal long-term service agreement period and cost considering the uncertain factors in the fuel cell: From the perspectives of the sellers and generators H Kang, J Hong, T Hong, D Han, S Chin, M Lee Applied energy 237, 378-389, 2019 | 7 | 2019 |
| Virtual reality-based analysis of the effect of construction noise exposure on masonry work productivity J Hong, J Choi, JH Lee, SH Cho, T Hong, SU Han, HS Park, DE Lee Automation in Construction 150, 104844, 2023 | 6 | 2023 |
| Analysis of the effect of dust barriers on particulate matter dispersion from a construction site using CFD simulation J Choi, J Hong, T Hong Environmental Pollution 338, 122679, 2023 | 2 | 2023 |
| Multi-objective sizing and real-time scheduling of battery energy storage in energy-sharing community based on reinforcement learning H Kang, S Jung, H Kim, J Hong, J Jeoung, T Hong Renewable and Sustainable Energy Reviews 185, 113655, 2023 | 2 | 2023 |
| Optimal noise barrier arrangement for heavy equipment during earthwork using spatiotemporal data J Choi, J Hong, T Hong Automation in Construction 150, 104830, 2023 | 2 | 2023 |
| Simulation-based framework for optimal construction equipment allocation considering construction noise emissions H Baek, S Jung, J Hong, T Hong Journal of Asian Architecture and Building Engineering 22 (5), 2959-2976, 2023 | 1 | 2023 |
| Influence of visual environments on struck-by hazards for construction equipment operators through virtual eye-tracking J Hong, S Song, H Kang, J Choi, T Hong, DE Lee Automation in Construction 161, 105341, 2024 | | 2024 |
Taehoon HongUnderwood Distinguished Professor of Yonsei UniversityVerified email at yonsei.ac.kr
