| Energy saving potential of natural ventilation in China: The impact of ambient air pollution Z Tong, Y Chen, A Malkawi, Z Liu, RB Freeman Applied energy 179, 660-668, 2016 | 285 | 2016 |
| Optimal control of HVAC and window systems for natural ventilation through reinforcement learning Y Chen, LK Norford, HW Samuelson, A Malkawi Energy and Buildings 169, 195-205, 2018 | 261 | 2018 |
| Quantifying the impact of traffic-related air pollution on the indoor air quality of a naturally ventilated building Z Tong, Y Chen, A Malkawi, G Adamkiewicz, JD Spengler Environment international 89, 138-146, 2016 | 222 | 2016 |
| Investigating natural ventilation potentials across the globe: Regional and climatic variations Y Chen, Z Tong, A Malkawi Building and Environment 122, 386–396, 2017 | 201 | 2017 |
| Parametric energy simulation in early design: High-rise residential buildings in urban contexts H Samuelson, S Claussnitzer, A Goyal, Y Chen, A Romo-Castillo Building and Environment 101, 19-31, 2016 | 198 | 2016 |
| Transfer learning with deep neural networks for model predictive control of HVAC and natural ventilation in smart buildings Y Chen, Z Tong, Y Zheng, H Samuelson, L Norford Journal of Cleaner Production 254, 119866, 2020 | 185 | 2020 |
| Defining the Influence Region in neighborhood-scale CFD simulations for natural ventilation design Z Tong, Y Chen, A Malkawi Applied Energy 182, 625-633, 2016 | 150 | 2016 |
| Estimating natural ventilation potential for high-rise buildings considering boundary layer meteorology Z Tong, Y Chen, A Malkawi Applied energy 193, 276-286, 2017 | 129 | 2017 |
| Integrated design workflow and a new tool for urban rainwater management Y Chen, HW Samuelson, Z Tong Journal of environmental management 180, 45-51, 2016 | 102 | 2016 |
| Achieving natural ventilation potential in practice: Control schemes and levels of automation Y Chen, Z Tong, W Wu, H Samuelson, A Malkawi, L Norford Applied energy 235, 1141-1152, 2019 | 100 | 2019 |
| Diffuse ceiling ventilation for buildings: A review of fundamental theories and research methodologies W Wu, N Yoon, Z Tong, Y Chen, Y Lv, T Ærenlund, J Benner Journal of cleaner production 211, 1600-1619, 2019 | 56 | 2019 |
| Predicting thermal and energy performance of mixed-mode ventilation using an integrated simulation approach A Malkawi, B Yan, Y Chen, Z Tong Building Simulation 9, 335-346, 2016 | 47 | 2016 |
| The impact of window opening and other occupant behavior on simulated energy performance in residence halls JG Cedeno Laurent, HW Samuelson, Y Chen Building Simulation 10, 963-976, 2017 | 44 | 2017 |
| Accelerated derivative-free deep reinforcement learning for large-scale grid emergency voltage control R Huang, Y Chen, T Yin, X Li, A Li, J Tan, W Yu, Y Liu, Q Huang IEEE Transactions on Power Systems 37 (1), 14-25, 2021 | 32 | 2021 |
| Realizing natural ventilation potential through window control: The impact of occupant behavior Y Chen, Z Tong, H Samuelson, W Wu, A Malkawi Energy Procedia 158, 3215-3221, 2019 | 25 | 2019 |
| Learning and fast adaptation for grid emergency control via deep meta reinforcement learning R Huang, Y Chen, T Yin, Q Huang, J Tan, W Yu, X Li, A Li, Y Du IEEE Transactions on Power Systems 37 (6), 4168-4178, 2022 | 24 | 2022 |
| Accelerated deep reinforcement learning based load shedding for emergency voltage control R Huang, Y Chen, T Yin, X Li, A Li, J Tan, W Yu, Y Liu, Q Huang arXiv preprint arXiv:2006.12667, 2020 | 18 | 2020 |
| Fast adaptation of thermal dynamics model for predictive control of hvac and natural ventilation using transfer learning with deep neural networks Y Chen, Y Zheng, H Samuelson 2020 American control conference (ACC), 2345-2350, 2020 | 12 | 2020 |
| Toward pre-simulated guidelines for low-energy high-rise residential design in megacities. H Samuelson, A Goyal, S Claussnitzer, A Romo-Castillo, Y Chen, ... SpringSim (SimAUD), 119-127, 2015 | 7 | 2015 |
| Natural Ventilation Control Strategies and Their Effectiveness in Different Climates Y Chen | 3 | 2019 |
