| Automated staff assignment for building maintenance using natural language processing Y Mo, D Zhao, J Du, M Syal, A Aziz, H Li Automation in Construction 113, 103150, 2020 | 58 | 2020 |
| Toward human-centric urban infrastructure: Text mining for social media data to identify the public perception of COVID-19 policy in transportation hubs JY Park, E Mistur, D Kim, Y Mo, R Hoefer Sustainable cities and society 76, 103524, 2022 | 55 | 2022 |
| Time effects of green buildings on energy use for low-income households: A longitudinal study in the United States D Zhao, AP McCoy, P Agee, Y Mo, G Reichard, F Paige Sustainable cities and society 40, 559-568, 2018 | 45 | 2018 |
| Information framework for intelligent decision support system for home energy retrofits M Syal, D Duah, S Samuel, M Mazor, Y Mo, T Cyr Journal of Construction Engineering and Management 140 (1), 04013030, 2014 | 43 | 2014 |
| Data-driven approach to scenario determination for VR-based construction safety training Y Mo, D Zhao, J Du, W Liu, A Dhara Construction Research Congress 2018, 116-125, 2018 | 41 | 2018 |
| The design and evaluation of intelligent energy dashboard for sustainability in the workplace R Yun, A Aziz, B Lasternas, C Zhang, V Loftness, P Scupelli, Y Mo, J Zhao, ... Design, User Experience, and Usability. User Experience Design for Everyday …, 2014 | 29 | 2014 |
| Imputation of missing values in building sensor data A Chong, KP Lam, W Xu, OT Karaguzel, Y Mo ASHRAE and IBPSA-USA SimBuild 6, 407-14, 2016 | 28 | 2016 |
| Comparison of green home energy performance between simulation and observation: a case of Virginia, United States AP McCoy, D Zhao, T Ladipo, P Agee, Y Mo Journal of Green Building 13 (3), 70-88, 2018 | 19 | 2018 |
| Construction work plan prediction for facility management using text mining Y Mo, D Zhao, M Syal, A Aziz Computing in Civil Engineering 2017, 92-100, 2017 | 17 | 2017 |
| Effective factors for residential building energy modeling using feature engineering Y Mo, D Zhao Journal of Building Engineering 44, 102891, 2021 | 13 | 2021 |
| Effective features to predict residential energy consumption using machine learning Y Mo, D Zhao, M Syal ASCE International Conference on Computing in Civil Engineering 2019, 284-291, 2019 | 12 | 2019 |
| Occupant Behavior Prediction Model Based on Energy Consumption Using Machine Learning Approaches Y Mo Michigan State University, 2018 | 8 | 2018 |
| Latent relationship between construction cost and energy efficiency in multifamily green buildings Y Mo, D Zhao, A McCoy, J Du, P Agee Computing in Civil Engineering 2017, 273-280, 2017 | 7 | 2017 |
| STATUS QUO AND CHALLENGES AND FUTURE DEVELOPMENT OF FIRE EMERGENCY EVACUATION RESEARCH AND APPLICATION IN BUILT ENVIRONMENT. A Jiang, Y Mo, VS Kalasapudi Journal of Information Technology in Construction 27, 2022 | 5 | 2022 |
| Information framework development for retrofit technology measures S Syal, D Duah, S Samuel, Y Mo, T Cyr, J Alcott, S Kim, M Lieburn, ... National Renewable Energy laboratory, United States Department of Energy …, 2013 | 5 | 2013 |
| Application of occupant behavior prediction model on residential big data analysis Y Mo, D Zhao Proceedings of the 8th ACM International Conference on Systems for Energy …, 2021 | 3 | 2021 |
| Daily Occupant Behavior Pattern Affecting Energy Use in Residential Buildings Y Mo, D Zhao, J Sorce Construction Research Congress 2020, 518-526, 2020 | 3 | 2020 |
| Spatial Analysis on Routine Occupant Behavior Patterns and Associated Factors in Residential Buildings Y Mo, D Zhao Construction Research Congress 2022, 325-334, 2022 | 2 | 2022 |
| A comprehensive digital twin framework for building environment monitoring with emphasis on real-time data connectivity and predictability TW Kang, Y Mo Developments in the Built Environment, 100309, 2023 | 1 | 2023 |
| Construction Cost Decomposition of Residential Building Energy Retrofit D Zhao, Y Mo Buildings 13 (6), 1363, 2023 | 1 | 2023 |
Dong ZhaoAssociate Professor, Michigan State UniversityVerified email at msu.edu
