Xinyi Song
Xinyi Song
Assistant Professor of Building Construction, Georgia Tech
Verified email at
Cited by
Cited by
Revealing the “Invisible Gorilla” in construction: Estimating construction safety through mental workload assessment
J Chen, X Song, Z Lin
Automation in Construction 63, 173-183, 2016
Core dimensions of the construction safety climate for a standardized safety-climate measurement
C Wu, X Song, T Wang, D Fang
Journal of Construction Engineering and Management 141 (8), 04015018, 2015
Modeling and predicting occupancy profile in office space with a Wi-Fi probe-based Dynamic Markov Time-Window Inference approach
W Wang, J Chen, X Song
Building and Environment 124, 130-142, 2017
Impact of outdoor air quality on the natural ventilation usage of commercial buildings in the US
J Chen, GS Brager, G Augenbroe, X Song
Applied energy 235, 673-684, 2019
Implications and future direction of greenhouse gas emission mitigation policies in the building sector of China
T Wang, G Foliente, X Song, J Xue, D Fang
Renewable and Sustainable Energy Reviews 31, 520-530, 2014
An energy-aware, agent-based maintenance-scheduling framework to improve occupant satisfaction
Y Cao, T Wang, X Song
Automation in Construction 60, 49-57, 2015
Social network analysis (SNA) for construction projects' team communication structure optimization
A Malisiovas, X Song
Construction research congress 2014: Construction in a global network, 2032-2042, 2014
Performance of 12 reference evapotranspiration estimation methods compared with the Penman–Monteith method and the potential influences in northeast China
X Song, F Lu, W Xiao, K Zhu, Y Zhou, Z Xie
Meteorological Applications 26 (1), 83-96, 2019
Evaluating the potential of hybrid ventilation for small to medium sized office buildings with different intelligent controls and uncertainties in US climates
J Chen, G Augenbroe, X Song
Energy and Buildings 158, 1648-1661, 2018
Uncertainty analysis of thermal comfort in a prototypical naturally ventilated office building and its implications compared to deterministic simulation
J Chen, G Augenbroe, Q Wang, X Song
Energy and Buildings 146, 283-294, 2017
Lighted-weighted model predictive control for hybrid ventilation operation based on clusters of neural network models
J Chen, G Augenbroe, X Song
Automation in Construction 89, 250-265, 2018
Optimal resource allocation for anti-terrorism in protecting overpass bridge based on AHP risk assessment model
Y Li, T Wang, X Song, G Li
KSCE Journal of Civil Engineering 20 (1), 309-322, 2016
Insurance as a risk management tool for ADR implementation in construction disputes
X Song, F Peña-Mora, CC Menassa, CA Arboleda
Journal of construction engineering and management 138 (1), 14-21, 2012
Development of an energy-aware intelligent facility management system for campus facilities
Y Cao, X Song, T Wang
Procedia engineering 118, 449-456, 2015
The Assessment of green water based on the swat model: a case study in the Hai River Basin, China
K Zhu, Z Xie, Y Zhao, F Lu, X Song, L Li, X Song
Water 10 (6), 798, 2018
Revealing the" Invisible Gorilla" in Construction: Assessing Mental Workload through Time-frequency Analysis
J Chen, B Ren, X Song, X Luo
ISARC. Proceedings of the International Symposium on Automation and Robotics …, 2015
Spatial and temporal variation of reference evapotranspiration under climate change: a case study in the Sanjiang Plain, Northeast China
X Song, K Zhu, F Lu, W Xiao
Hydrology Research 49 (1), 251-265, 2018
An agent-based framework for occupant-oriented intelligent facility management scheduling
Y Cao, X Song, X Jiang
Computing in Civil and Building Engineering (2014), 1828-1835, 2014
Introducing the concept of emissions liability insurance in managing greenhouse gas (GHG) emissions and promoting sustainability in construction projects
X Song, F Peña-Mora
Construction Research Congress 2012: Construction Challenges in a Flat World …, 2012
Determining the optimal premium for ADR implementation insurance in construction dispute resolution
X Song, F Pena-Mora, CC Menassa, CA Arboleda
Journal of Management in Engineering 30 (4), 04014012, 2014
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