Filip Biljecki

Filip Biljecki

National University of Singapore

H-index: 39

Asia-Singapore

About Filip Biljecki

Filip Biljecki, With an exceptional h-index of 39 and a recent h-index of 35 (since 2020), a distinguished researcher at National University of Singapore, specializes in the field of urban data science, urban informatics, urban analytics, geographic data science, GeoAI.

His recent articles reflect a diverse array of research interests and contributions to the field:

Global urban road network patterns: Unveiling multiscale planning paradigms of 144 cities with a novel deep learning approach

Learning visual features from figure-ground maps for urban morphology discovery

Microclimate spatio-temporal prediction using deep learning and land use data

Continuing from the Sendai Framework midterm: Opportunities for urban digital twins in disaster risk management

Assessing the equity and evolution of urban visual perceptual quality with time series street view imagery

The State of the Art in Visual Analytics for 3D Urban Data

Crowdsourcing Geospatial Data for Earth and Human Observations: A Review

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

Filip Biljecki Information

University

Position

Assistant Professor Urban Analytics Lab

Citations(all)

5106

Citations(since 2020)

4080

Cited By

2151

hIndex(all)

39

hIndex(since 2020)

35

i10Index(all)

78

i10Index(since 2020)

74

Email

University Profile Page

National University of Singapore

Google Scholar

View Google Scholar Profile

Filip Biljecki Skills & Research Interests

urban data science

urban informatics

urban analytics

geographic data science

GeoAI

Top articles of Filip Biljecki

Title

Journal

Author(s)

Publication Date

Global urban road network patterns: Unveiling multiscale planning paradigms of 144 cities with a novel deep learning approach

Landscape and Urban Planning

Wangyang Chen

Huiming Huang

Shunyi Liao

Feng Gao

Filip Biljecki

2024/1/1

Learning visual features from figure-ground maps for urban morphology discovery

Computers, Environment and Urban Systems

Jing Wang

Weiming Huang

Filip Biljecki

2024/4/1

Microclimate spatio-temporal prediction using deep learning and land use data

Building and Environment

Jintong Han

Adrian Chong

Joie Lim

Savitha Ramasamy

Nyuk Hien Wong

...

2024/2/28

Continuing from the Sendai Framework midterm: Opportunities for urban digital twins in disaster risk management

Edgardo Macatulad

Filip Biljecki

2024/2/5

Assessing the equity and evolution of urban visual perceptual quality with time series street view imagery

Cities

Zeyu Wang

Koichi Ito

Filip Biljecki

2024/2/1

The State of the Art in Visual Analytics for 3D Urban Data

Fabio Miranda

Thomas Ortner

Gustavo Moreira

Maryam Hosseini

Milena Vuckovic

...

2024/4/24

Crowdsourcing Geospatial Data for Earth and Human Observations: A Review

Xiao Huang

Siqin Wang

Di Yang

Tao Hu

Meixu Chen

...

2024/1/22

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

Siqin Wang

Xiao Huang

Pengyuan Liu

Mengxi Zhang

Filip Biljecki

...

2024/4/1

Sensing urban soundscapes from street view imagery

Computers, Environment and Urban Systems

Tianhong Zhao

Xiucheng Liang

Wei Tu

Zhengdong Huang

Filip Biljecki

2023/1/1

3D building metrics for urban morphology

International Journal of Geographical Information Science

Anna Labetski

Stelios Vitalis

Filip Biljecki

Ken Arroyo Ohori

Jantien Stoter

2023/1/2

Knowledge and topology: A two layer spatially dependent graph neural networks to identify urban functions with time-series street view image

ISPRS Journal of Photogrammetry and Remote Sensing

Yan Zhang

Pengyuan Liu

Filip Biljecki

2023/4/1

Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives

Filip Biljecki

Tianhong Zhao

Xiucheng Liang

Yujun Hou

2023/8/1

Quality of crowdsourced geospatial building information: A global assessment of OpenStreetMap attributes

Building and Environment

Filip Biljecki

Yoong Shin Chow

Kay Lee

2023/6/2

A Global Feature-Rich Network Dataset of Cities and Dashboard for Comprehensive Urban Analyses

Scientific Data

Winston Yap

Filip Biljecki

2023/9/30

GeoAI for Urban Sensing

Filip Biljecki

2023/12/29

Preface: Workshop “GeoHB 2023: Geo-Spatial Computing for Understanding Human Behaviours”

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

W Huang

BY Chen

F Biljecki

Y Yan

Y Grinberger

...

2023/12/14

Assessing and benchmarking 3D city models

International Journal of Geographical Information Science

Binyu Lei

Rudi Stouffs

Filip Biljecki

2023/4/1

How spatio-temporal resolution impacts urban energy calibration

Energy and Buildings

Aysegul Demir Dilsiz

Kingsley E Nweye

Allen J Wu

Jérôme H Kämpf

Filip Biljecki

...

2023/8/1

Automatic assessment of public open spaces using street view imagery

Cities

Shuting Chen

Filip Biljecki

2023/6/1

Humans As Sensors in Urban Digital Twins

Binyu Lei

Yunlei Su

Filip Biljecki

2023/9/12

See List of Professors in Filip Biljecki University(National University of Singapore)

Co-Authors

H-index: 52
Peter van Oosterom

Peter van Oosterom

Technische Universiteit Delft

H-index: 52
Jantien Stoter

Jantien Stoter

Technische Universiteit Delft

H-index: 35
Hugo Ledoux

Hugo Ledoux

Technische Universiteit Delft

H-index: 30
Lars Harrie

Lars Harrie

Lunds Universitet

H-index: 28
Clayton Miller

Clayton Miller

National University of Singapore

H-index: 26
Adrian Chong

Adrian Chong

National University of Singapore

academic-engine