Key papers in Building and Construction
Pofolia’s corpus holds 45 papers from the Building and Construction subfield (2012–2022). The list below starts with the most cited.
Most cited
Ranked by citation count. Because citations accumulate over time, this list naturally leans towards work published a few years ago; for where the field is now, see “recently added”.
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
2018 · 3,333 citations · Open access
A novel Spatio-Temporal Graph Convolutional Network (STGCN) framework is introduced for traffic forecasting, effectively capturing complex spatio-temporal correlations.
T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
IEEE Transactions on Intelligent Transportation Systems · 2019 · Q1 · SJR 2.00 · FWCI 115.81 · 3,193 citations
A novel Temporal Graph Convolutional Network (T-GCN) model integrates Graph Convolutional Networks (GCN) and Gated Recurrent Units (GRU) to simultaneously capture complex spatial road network structures and dynamic temporal traffic changes.
EU 7 FP project Governing urban divercity: Creating social cohesion, social mobility and economic performance in today’s hyper-diversified cities (DIVERCITIES) – The case of Warsaw
RCIN (Digital Repository of the Scientifics Institutes) (Institute of Archaeology and Ethnology of the Polish Academy of Sciences) · 2017 · FWCI 132.47 · 3,160 citations · Open access
This paper presents a sociological definition of a city as a large, dense, and permanent settlement of heterogeneous individuals, highlighting the unique social dynamics that arise from these characteristics.
Traffic Flow Prediction With Big Data: A Deep Learning Approach
IEEE Transactions on Intelligent Transportation Systems · 2014 · Q1 · SJR 2.00 · FWCI 91.25 · 2,971 citations
A novel deep learning method using stacked autoencoders has been developed to predict traffic flow by considering spatial and temporal correlations in big data.
The Geography of Transport Systems
2020 · FWCI 170.74 · 2,910 citations
This is a revised and expanded fifth edition of a textbook providing a comprehensive introduction to transport geography, focusing on the spatial aspects of passenger and freight mobility.
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting
Proceedings of the AAAI Conference on Artificial Intelligence · 2019 · SJR 1.00 · 2,836 citations · Open access
A novel Attention-based Spatial-Temporal Graph Convolutional Network (ASTGCN) model has been developed to improve traffic flow forecasting by effectively capturing dynamic spatial-temporal correlations.
Construction and Building Materials
2012 · FWCI 91.87 · 2,518 citations
Environmentally creep-formed paper tubes offer a sustainable and recyclable material option for temporary structures like exhibition spaces or emergency shelters.
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
Proceedings of the AAAI Conference on Artificial Intelligence · 2017 · SJR 1.00 · 2,173 citations · Open access
A new deep learning model, ST-ResNet, can predict citywide crowd flows by simultaneously considering temporal patterns (closeness, period, trend) and spatial relationships, outperforming existing methods.
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
2020 · 1,804 citations
A new Graph Neural Network (GNN) framework automatically learns variable dependencies in multivariate time series, outperforming state-of-the-art methods on 3 of 4 benchmark datasets.
LSTM network: a deep learning approach for short‐term traffic forecast
IET Intelligent Transport Systems · 2017 · Q1 · FWCI 107.85 · 1,802 citations
A novel deep learning model using a Long Short-Term Memory (LSTM) network has been developed for short-term traffic forecasting, outperforming conventional models.
GMAN: A Graph Multi-Attention Network for Traffic Prediction
Proceedings of the AAAI Conference on Artificial Intelligence · 2020 · SJR 1.00 · 1,606 citations · Open access
A novel Graph Multi-Attention Network (GMAN) is proposed for long-term traffic prediction, outperforming state-of-the-art methods by up to 4% in MAE for 1-hour ahead predictions.
The Journal of Strength and Conditioning Research
Wilderness and Environmental Medicine · 2013 · Q2 · FWCI 118.11 · 1,580 citations
This abstract provides no research findings or results.
Design of concrete structures
2016 · FWCI 285.04 · 1,521 citations
Eurocode 8 (EC8) prioritizes life safety in major earthquakes and damage limitation in frequent events, favoring ductile behavior in reinforced concrete structures through specific detailing in critical regions.
3D printing using concrete extrusion: A roadmap for research
Cement and Concrete Research · 2018 · Q1 · SJR 6.00 · FWCI 78.41 · 1,517 citations
This paper maps the relationship between concrete material properties and the geometry of 3D-printed construction elements, classifying findings by application to guide future research.
Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
Proceedings of the AAAI Conference on Artificial Intelligence · 2020 · SJR 1.00 · 1,509 citations · Open access
A new model, STSGCN, effectively forecasts spatial-temporal network data by simultaneously capturing localized spatial and temporal correlations and handling data heterogeneities across different time periods.
BIM Handbook: A guide to Building Information Modeling for owners, managers, designers, engineers and contractors
Construction Economics and Building · 2012 · Q3 · FWCI 77.95 · 1,508 citations · Open access
This is the second edition of the BIM Handbook, a comprehensive guide to Building Information Modeling.
Technical description of version 4.5 of the Community Land Model (CLM)
Open MIND · 2013 · 1,466 citations
This technical note details the biogeophysical and biogeochemical parameterizations and numerical implementation of version 4.5 of the Community Land Model (CLM4.5). It serves as a scientific description to accompany the CLM4.5 User's Guide.
ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
DigitalCommons - Fairfield (Fairfield University) · 2013 · 1,445 citations
This paper introduces a novel approach combining Life Cycle Assessment (LCA) with Linear Regression Analysis to identify key design characteristics that significantly impact a product's environmental footprint.
Using LSTM and GRU neural network methods for traffic flow prediction
2016 · 1,416 citations
This paper demonstrates that Recurrent Neural Network (RNN) based deep learning models, specifically LSTM and GRU, outperform traditional ARIMA models for short-term traffic flow prediction.
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
Sensors · 2017 · Q1 · FWCI 118.27 · 1,409 citations · Open access
A novel deep convolutional neural network (CNN) treats traffic data as images, achieving a 42.91% average accuracy improvement in predicting network-wide traffic speeds compared to existing methods.
Recently added
AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems
SN Computer Science · 2022 · Q2 · FWCI 89.29 · 1,107 citations · Open access
This paper provides a comprehensive overview of AI-based modeling, detailing principles and capabilities of AI techniques for developing automated, intelligent, and smart systems.
A review on buildings energy information: Trends, end-uses, fuels and drivers
Energy Reports · 2021 · Q1 · SJR 1.00 · FWCI 49.34 · 962 citations
Buildings account for 1/3 of global energy use and 1/4 of CO2 emissions, yet reliable data for mitigation policies is scarce, highlighting challenges in data consistency and reliability.
Entropy in urban and regional modelling
Edward Elgar Publishing eBooks · 2021 · FWCI 68.87 · 1,248 citations
This paper reviews 50 years of spatial interaction modelling, highlighting key concepts like knowledge representation as constraints, the importance of accounts, and generalized cost, which have expanded the use of original entropy concepts.
Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges
Journal of Building Engineering · 2021 · Q1 · SJR 1.00 · FWCI 51.73 · 935 citations
Artificial intelligence (AI) offers solutions to major construction industry challenges like cost overruns, safety, and labor shortages, with applications in activity monitoring, risk management, and resource optimization identified.
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
2020 · 1,804 citations
A new Graph Neural Network (GNN) framework automatically learns variable dependencies in multivariate time series, outperforming state-of-the-art methods on 3 of 4 benchmark datasets.
Add this field to your daily feed
Pick your interests and new work in your area arrives every day, summarised. Full summaries live in the app.
Open the appOther subfields in the same field
- Biomedical Engineering
- Ocean Engineering
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
- General Engineering
- Safety, Risk, Reliability and Quality
- Aerospace Engineering
- Computational Mechanics
- Civil and Structural Engineering
- Control and Systems Engineering
- Mechanical Engineering
- Mechanics of Materials