OOIR: Observatory of International Research

Papers

(The H4-Index of Building Simulation is 26. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Challenges and opportunities for carbon neutrality in China’s building sector—Modelling and data	111
DeST 3.0: A new-generation building performance simulation platform	74
Archetype identification and urban building energy modeling for city-scale buildings based on GIS datasets	67
Multi-objective optimization of building design for life cycle cost and CO2 emissions: A case study of a low-energy residential building in a severe cold climate	61
Review on occupancy detection and prediction in building simulation	52
A real-time forecast of tunnel fire based on numerical database and artificial intelligence	51
Comprehensive energy, economic, environmental assessment of a building integrated photovoltaic-thermoelectric system with battery storage for net zero energy building	46
Individual thermal comfort prediction using classification tree model based on physiological parameters and thermal history in winter	43
Multi-objective optimization of thermochromic glazing based on daylight and energy performance evaluation	41
From occupants to occupants: A review of the occupant information understanding for building HVAC occupant-centric control	40
Energy and comfort performance of occupant-centric air conditioning strategy in office buildings with personal comfort devices	40
Federated learning-based short-term building energy consumption prediction method for solving the data silos problem	38
Evaluating the impact of thermostat control strategies on the energy flexibility of residential buildings for space heating	37
A novel deep generative modeling-based data augmentation strategy for improving short-term building energy predictions	37
Parametric study on the sleep thermal environment	34
Data-driven model predictive control for power demand management and fast demand response of commercial buildings using support vector regression	33
Association between the infection probability of COVID-19 and ventilation rates: An update for SARS-CoV-2 variants	32
A probabilistic model to evaluate the effectiveness of main solutions to COVID-19 spreading in university buildings according to proximity and time-based consolidated criteria	32
The effects of portable cooling systems on thermal comfort and work performance in a hot environment	30
Physics-based, data-driven approach for predicting natural ventilation of residential high-rise buildings	29
The energy performance and passive survivability of high thermal insulation buildings in future climate scenarios	27
Regression tree ensemble learning-based prediction of the heating and cooling loads of residential buildings	26
Room zonal location and activity intensity recognition model for residential occupant using passive-infrared sensors and machine learning	26
Automatic classification of rural building characteristics using deep learning methods on oblique photography	26
Quantitative distribution of human exhaled particles in a ventilation room	26

Wind environment around the setback building models