Pengyuan Liu

Orcid: 0000-0002-5443-5910

Affiliations:

Singapore-ETH Centre, Future Cities Lab Global, Singapore
Nanjing University of Information Science and Technology, School of Geographical Sciences, China
National University of Singapore, Department of Architecture, Singapore
University of Leicester, School of Geography, Geology and Environment, UK (PhD 2022)

According to our database¹, Pengyuan Liu authored at least 17 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

A graph neural network for small-area estimation: integrating spatial regularisation, heterogeneous spatial units, and Bayesian inference.

[BibT_eX]

[DOI]

Int. J. Geogr. Inf. Sci., July, 2026

Beyond Land Surface Temperature: Explainable Spatial Machine Learning Reveals Urban Morphology Effects on Human-Centric Heat Stress.

[BibT_eX]

[DOI]

CoRR, April, 2026

Modeling adolescents' perception of cycling safety: A new approach using graph neural networks and street view imagery.

[BibT_eX]

[DOI]

Comput. Environ. Urban Syst., 2026

Associations among park features, physical activities, and sensory perceptions from online reviews: A domain-specific named entity recognition model.

[BibT_eX]

[DOI]

Ecol. Informatics, 2026

2025

From Pixels to Predicates Structuring urban perception with scene graphs.

[BibT_eX]

[DOI]

CoRR, December, 2025

Image-based Visibility Analysis Replacing Line-of-Sight Simulation: An Urban Landmark Perspective.

[BibT_eX]

[DOI]

CoRR, May, 2025

Urban digital twins for citizen-centric planning: A systematic review of built environment perception and public participation.

[BibT_eX]

[DOI]

Int. J. Appl. Earth Obs. Geoinformation, 2025

2024

Predicting building characteristics at urban scale using graph neural networks and street-level context.

[BibT_eX]

[DOI]

Binyu Lei

Pengyuan Liu

Nikola Milojevic-Dupont

Filip Biljecki

Comput. Environ. Urban Syst., 2024

Thermal Comfort in Sight: Thermal Affordance and its Visual Assessment for Sustainable Streetscape Design.

[BibT_eX]

[DOI]

CoRR, 2024

Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review.

[BibT_eX]

[DOI]

Int. J. Appl. Earth Obs. Geoinformation, 2024

2023

A graph neural network framework for spatial geodemographic classification.

[BibT_eX]

[DOI]

Stef De Sabbata

Pengyuan Liu

Int. J. Geogr. Inf. Sci., December, 2023

Shallow-Guided Transformer for Semantic Segmentation of Hyperspectral Remote Sensing Imagery.

[BibT_eX]

[DOI]

Remote. Sens., July, 2023

How does spatial structure affect psychological restoration? A method based on Graph Neural Networks and Street View Imagery.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Coupling a Physical Replica with a Digital Twin: A Comparison of Participatory Decision-Making Methods in an Urban Park Environment.

[BibT_eX]

[DOI]

Junjie Luo

Pengyuan Liu

Lei Cao

ISPRS Int. J. Geo Inf., 2022

A review of spatially-explicit GeoAI applications in Urban Geography.

[BibT_eX]

[DOI]

Pengyuan Liu

Filip Biljecki

Int. J. Appl. Earth Obs. Geoinformation, 2022

2021

A graph-based semi-supervised approach to classification learning in digital geographies.

[BibT_eX]

[DOI]

Pengyuan Liu

Stef De Sabbata

Comput. Environ. Urban Syst., 2021

2020

Iterative Reweighted Tikhonov-Regularized Multihypothesis Prediction Scheme for Distributed Compressive Video Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2020

Pengyuan Liu

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