Journal of Building Performance Simulation

Papers
(The H4-Index of Journal of Building Performance Simulation is 14. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-09-01 to 2025-09-01.)
ArticleCitations
Factors affecting air distribution in air conditioning air supply room based on SUPG finite element and zero equation117
Co-cooling, simulation-based exploration of a new method to measure the heat transfer coefficient of a building envelope in hot climate and summer period62
Improved calibration of building models using approximate Bayesian calibration and neural networks34
Inferencing CFD simulation boundary conditions for coughing from experimental spatiotemporal airflow distribution: conception and results from LSTM34
Developing a statistical electric vehicle charging model and its application in the performance assessment of a sustainable urban charging hub27
Modeling and simulation of risk-information processing in decision-making during pedestrian seismic evacuation25
Advancing building performance simulation education through a crowdsourced campus digital twin19
Research on predicting heat loads based on extracting temporal and spatial features of multiple buildings using data-driven methods18
Validation of spectral simulation tools in the context of ipRGC-influenced light responses of building occupants17
Effect of temperature-dependent and hysteretic sorption in computational mould risk analyses of wood fibreboard sheathing16
COVID-19 dispersion in naturally-ventilated classrooms: a study on inlet-outlet characteristics16
Enhanced TimesNet algorithm with ConvNext and fusion of time–frequency domain features in fault detection and diagnosis of HVAC systems16
Variation in residential occupancy profiles in the United States by household income level and characteristics16
Model-predictive space heating control for energy flexibility – a case study using a long short-term memory neural network surrogate model and a genetic optimization algorithm15
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