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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:

A census from heaven: Unraveling the potential of deep learning and Earth Observation for intra-urban population mapping in data scarce environments
Stefanos Georganos, Sebastian Häfner, Monika Kuffer, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 114, pp. 103013-103013
Open Access | Times Cited: 16

Showing 16 citing articles:

Optimizing Urban Population Mapping Grid Size Selection Based on Random Forest Regression
Yun Zhou, Songwei Gu, Zhongxi Ge, et al.
IEEE Geoscience and Remote Sensing Letters (2024) Vol. 21, pp. 1-5
Closed Access | Times Cited: 3
Towards a scalable and transferable approach to map deprived areas using Sentinel-2 images and machine learning
Maxwell Owusu, Arathi Nair, Amir Homayoun Jafari‬, et al.
Computers Environment and Urban Systems (2024) Vol. 109, pp. 102075-102075
Open Access | Times Cited: 3
QIENet: Quantitative irradiance estimation network using recurrent neural network based on satellite remote sensing data
Longfeng Nie, Yuntian Chen, Dongxiao Zhang, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 127, pp. 103584-103584
Open Access | Times Cited: 2
Global inequality in built-up land per capita and its change trajectories between 1985 and 2020
Jasper van Vliet, Hang Yang, Vita Bakker, et al.
Geography and sustainability (2024) Vol. 5, Iss. 4, pp. 541-547
Open Access | Times Cited: 2
Mapping Deprived Urban Areas Using Open Geospatial Data and Machine Learning in Africa
Maxwell Owusu, Ryan Engstrom, Dana R. Thomson, et al.
Urban Science (2023) Vol. 7, Iss. 4, pp. 116-116
Open Access | Times Cited: 6
Are public green spaces distributed fairly? A nationwide analysis based on remote sensing, OpenStreetMap and census data
Matthias Weigand, Michael Wurm, Ariane Droin, et al.
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 5
Interpretable deep learning for consistent large-scale urban population estimation using Earth observation data
Sugandha Doda, Matthias Kahl, Kim Ouan, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 128, pp. 103731-103731
Open Access | Times Cited: 1
Conceptualizing the nexus between spatiotemporal shrinkage patterns of natural cities and driving mechanisms: Insights into urban shrinkage in Northeast China
Xi Chen, Wei Lang, Yuan Yuan, et al.
Cities (2024) Vol. 152, pp. 105179-105179
Closed Access | Times Cited: 1
IDeaMapSudan: Geo-Spatial Modelling of Urban Poverty
Monika Kuffer, Inas M. M. Ali, Asgad Gummah, et al.
(2023), pp. 1-4
Open Access | Times Cited: 4
Scale effects-aware bottom-up population estimation using weakly supervised learning
Jing Xia, Rui Li, Xinrui Liu, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access
IDEAMAPS: Modelling Sub-Domains of Deprivation with EO and AI
Monika Kuffer, Ángela Abascal, Ryan Engstrom, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 1562-1566
Closed Access
Anonymization of Private and Confidential Ground Data for Earth Observation Data Analytics such as Socioeconomic Data
David Petit, Elisabeth Petersén, David Smith, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 7342-7345
Closed Access
ONEKANA: Modelling Thermal Inequalities in African Cities
Sabine Vanhuysse, Ángela Abascal, Stefanos Georganos, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024), pp. 1571-1575
Closed Access
High-resolution population mapping based on SDGSAT-1 glimmer imagery and deep learning: a case study of the Guangdong-Hong Kong-Marco Greater Bay Area
Haoxuan Duan, Zhongqi Shi, Ji Ge, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access
Mapping Urban Population Growth from Sentinel-2 MSI and Census Data Using Deep Learning: A Case Study in Kigali, Rwanda
Sebastian Häfner, Stefanos Georganos, Theodomir Mugiraneza, et al.
(2023), pp. 1-4
Open Access | Times Cited: 1
Uncertainty analysis of potential population exposure within the coastal lowlands of mainland China
Feixiang Li, Chenming Yao, Jingqiao Fu, et al.
Environmental Research Letters (2023) Vol. 18, Iss. 12, pp. 124003-124003
Open Access | Times Cited: 1
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