Building and Construction papers
Pofolia’s corpus holds 73 papers from Building and Construction (2012–2026), each with a short summary. Below, the 20 most-cited, then the most recently added.
At a glance
- Most cited: Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018, 3,333 citations).
- The 20 papers listed have 41,441 citations between them.
- 5 of the 6 with a known journal quartile appeared in a Q1 journal.
- 8 have a free full text (open access).
- Most frequent journals: Proceedings of the AAAI Conference on Artificial Intelligence, IEEE Transactions on Intelligent Transportation Systems, Cement and Concrete Research.
- Published between 2012 and 2020.
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”. How to read the signals
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.
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.
The Shell bitumen handbook
2015 · FWCI 128.05 · 1,344 citations
This abstract describes the availability of the Shell Bitumen Handbook as an electronic resource for Carleton faculty, staff, students, and walk-in users, noting it is not accessible to alumni.
Recently added
Разработка подхода к комплексной оценке состояния нарушенных земель горными работами
Journal of Mining Institute · 2026 · Q1 · SJR 1.00 · Open access
A new integrated assessment framework for mining-disturbed lands allows for a comprehensive analysis of their current condition and guides reclamation strategies by evaluating environmental impact levels and damage areas.
Potential of Dairy Coproducts in Wood Modification: Dimensional Stability and Mechanical Properties
ACS Omega · 2026 · Q1
Sweet whey, a dairy byproduct, combined with citric acid improves Scots pine wood's dimensional stability and mechanical properties, reducing moisture content by ~32% and increasing surface hardness by 30% while minimizing strength loss compared to citric acid alone.
How do residents use furniture in micro-apartments? Analysing furniture affordances through photo-elicitation method
Geoforum · 2026 · Q1 · SJR 1.00
Residents in Hong Kong micro-apartments acquire less durable furniture due to space constraints, impacting environmental sustainability, and their ability to adapt furniture to evolving needs depends on design skills or access to services.
AI-driven systems for advancing smart building infrastructure: An integrated review for energy management, occupant comfort, and cybernetics
Energy Reports · 2026 · Q1 · SJR 1.00
This review integrates AI-driven smart building functionalities as a network of feedback systems, rather than autonomous parts, to advance energy management, occupant comfort, and cybernetic coordination.
Modularization Barriers and Barrier Breakers in Capital Projects
Journal of Management in Engineering · 2026 · Q1 · SJR 1.00
Capital projects face nine key barriers to modularization adoption, primarily rooted in front-end managerial and organizational issues, not technical ones.
Vision-encoder-integrated lifting tracker for cost-effective crane operations in modular construction
Automation in Construction · 2026 · Q1 · SJR 2.00
A new vision-encoder-integrated lifting tracker (VE-LIFT) uses a monocular camera and crane encoders to track modules during lifting, achieving LiDAR-comparable accuracy (sub-0.5m tracking, 98.65%/98.93% mAP) at lower cost.
Activation through opposition: Indigenous contestation and state institutions in the just energy transition
Energy Research & Social Science · 2026 · Q1 · SJR 2.00
State institutions alone are insufficient for achieving just energy transition outcomes; they must be activated by indigenous contestation over firms' noncompliance with social-environmental standards.
An Agency-Specific Project Authoring Advisor: LLM-Based RAG System with Automatic Prompt Optimization Method
Journal of Computing in Civil Engineering · 2026 · Q1 · SJR 1.00
A novel retrieval-augmented generation (RAG) system with automated prompt optimization significantly improves LLM performance for agency-specific project authoring, achieving 75.7/100 with GPT-4+RAG vs. 53.4/100 without, and 88.9 with optimized prompts.
Journals in this field
The journals that publish most of this field’s papers. Quartile (Q1–Q4), SJR and h-index are from SCImago Journal Rank; “in this field” is how many of the journal’s pooled papers belong here. What is a Q1 journal? · What is the h-index?
| Journal | Quartile | SJR | h-index | In this field | Summaries |
|---|---|---|---|---|---|
| IEEE Transactions on Intelligent Transportation Systems | Q1 | 2.00 | 244 | 5 | 8 |
| Proceedings of the AAAI Conference on Artificial Intelligence | — | 1.00 | 56 | 5 | 13 |
| Automation in Construction | Q1 | 2.00 | 219 | 2 | 8 |
| Journal of Construction Engineering and Management | Q1 | 1.00 | 158 | 2 | 5 |
| Energy Reports | Q1 | 1.00 | 132 | 2 | 5 |
| Buildings | Q1 | — | 85 | 2 | 7 |
| Heliyon | Q1 | — | 145 | 2 | 5 |
| Cement and Concrete Research | Q1 | 6.00 | 338 | 1 | 3 |
Every journal in Building and Construction (Q1–Q4) →
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