OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Quality of crowdsourced geospatial building information: A global assessment of OpenStreetMap attributes
Filip Biljecki, Yoong Shin Chow, Kay Lee
Building and Environment (2023) Vol. 237, pp. 110295-110295
Open Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

A spatio-temporal analysis investigating completeness and inequalities of global urban building data in OpenStreetMap
Benjamin Herfort, Sven Lautenbach, João Porto de Albuquerque, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 105

Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
Siqin Wang, Xiao Huang, Pengyuan Liu, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 128, pp. 103734-103734
Open Access | Times Cited: 30

Global Streetscapes — A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics
Yujun Hou, Matías Quintana, Maxim Khomiakov, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 215, pp. 216-238
Closed Access | Times Cited: 15

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, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 122, pp. 103385-103385
Open Access | Times Cited: 34

Enhancing rooftop solar energy potential evaluation in high-density cities: A Deep Learning and GIS based approach
H. F. Ni, D Wang, Wenzhuo Zhao, et al.
Energy and Buildings (2023) Vol. 309, pp. 113743-113743
Closed Access | Times Cited: 24

Learning visual features from figure-ground maps for urban morphology discovery
Jing Wang, Weiming Huang, Filip Biljecki
Computers Environment and Urban Systems (2024) Vol. 109, pp. 102076-102076
Closed Access | Times Cited: 11

Microclimate spatio-temporal prediction using deep learning and land use data
Jintong Han, Adrian Chong, Joie Lim, et al.
Building and Environment (2024) Vol. 253, pp. 111358-111358
Closed Access | Times Cited: 11

Machine learning-based characterisation of urban morphology with the street pattern
Cai Wu, Jiong Wang, Mingshu Wang, et al.
Computers Environment and Urban Systems (2024) Vol. 109, pp. 102078-102078
Open Access | Times Cited: 11

Predicting building characteristics at urban scale using graph neural networks and street-level context
Binyu Lei, Pengyuan Liu, Nikola Milojevic-Dupont, et al.
Computers Environment and Urban Systems (2024) Vol. 111, pp. 102129-102129
Closed Access | Times Cited: 10

Building footprint data for countries in Africa: To what extent are existing data products comparable?
Heather Chamberlain, Édith Darin, Wole A. Adewole, et al.
Computers Environment and Urban Systems (2024) Vol. 110, pp. 102104-102104
Open Access | Times Cited: 7

Crowdsourcing Geospatial Data for Earth and Human Observations: A Review
Xiao Huang, Siqin Wang, Di Yang, et al.
Journal of Remote Sensing (2023) Vol. 4
Open Access | Times Cited: 16

Coverage and bias of street view imagery in mapping the urban environment
Zicheng Fan, Chen‐Chieh Feng, Filip Biljecki
Computers Environment and Urban Systems (2025) Vol. 117, pp. 102253-102253
Closed Access

Enhancing Precision Beekeeping by the Macro-Level Environmental Analysis of Crowdsourced Spatial Data
Daniels Kotovs, Agnese Krieviņa, Aleksejs Zacepins
ISPRS International Journal of Geo-Information (2025) Vol. 14, Iss. 2, pp. 47-47
Open Access

Generating a Nationwide Residential Building Types Dataset Using Machine Learning
Kristina Dabrock, Jens Ulken, Noah Pflugradt, et al.
Building and Environment (2025), pp. 112782-112782
Open Access

Inferring ghost cities on the globe in newly developed urban areas based on urban vitality with multi-source data
Yecheng Zhang, Tangqi Tu, Ying Long
Habitat International (2025) Vol. 158, pp. 103350-103350
Closed Access

Estimating the Potential for Rooftop Generation of Solar Energy in an Urban Context Using High-Resolution Open Access Geospatial Data: A Case Study of the City of Tromsø, Norway
Gareth Rees, Liliia Hebryn-Baidy, Clara Good
ISPRS International Journal of Geo-Information (2025) Vol. 14, Iss. 3, pp. 123-123
Open Access

OpenStreetMap as the Data Source for Territorial Innovation Potential Assessment
Otakar Čerba
ISPRS International Journal of Geo-Information (2025) Vol. 14, Iss. 3, pp. 127-127
Open Access

CMAB: A Multi-Attribute Building Dataset of China
Yecheng Zhang, Huimin Zhao, Ying Long
Scientific Data (2025) Vol. 12, Iss. 1
Open Access

Urbanity: automated modelling and analysis of multidimensional networks in cities
Winston Yap, Rudi Stouffs, Filip Biljecki
npj Urban Sustainability (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 13

Humans As Sensors in Urban Digital Twins
Binyu Lei, Yunlei Su, Filip Biljecki
Lecture notes in geoinformation and cartography (2024), pp. 693-706
Closed Access | Times Cited: 3

Improving PM10 and PM2.5 concentration prediction using the Brazilian Regional Atmospheric Modeling 5.2 System in Lima, Peru
Odón R. Sánchez-Ccoyllo, Marcelo Félix Alonso
Urban Climate (2024) Vol. 55, pp. 101985-101985
Closed Access | Times Cited: 2

Monitoring surface deformation dynamics in the mining subsidence area using LT-1 InSAR interferometry: A case study of Datong, China
Liuru Hu, Xinming Tang, Roberto Tomás, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 131, pp. 103936-103936
Open Access | Times Cited: 2

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