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 novel unsupervised deep learning method for the generalization of urban form
Jihong Cai, Yimin Chen
Geo-spatial Information Science (2022) Vol. 25, Iss. 4, pp. 568-587
Open Access | Times Cited: 17

Showing 17 citing articles:

An MIU-based deep embedded clustering model for urban functional zoning from remote sensing images and VGI data
Anqi Lin, Bo Huang, Hao Wu, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 128, pp. 103689-103689
Open Access | Times Cited: 12

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

A multimodal fusion framework for urban scene understanding and functional identification using geospatial data
Chen Su, Xinli Hu, Qingyan Meng, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 127, pp. 103696-103696
Open Access | Times Cited: 8

Data-driven machine learning approaches for precise lithofacies identification in complex geological environments
Muhammad Ali, Peimin Zhu, Huolin Ma, et al.
Geo-spatial Information Science (2024), pp. 1-21
Open Access | Times Cited: 5

Archetypes of settlement development on the Swiss Plateau: Identification, description and prediction
Yves M. Räth, Adrienne Grêt‐Regamey, Xue Xia, et al.
Cities (2025) Vol. 159, pp. 105791-105791
Open Access

A Transformer-Based Approach for Efficient Geometric Feature Extraction from Vector Shape Data
Longfei Cui, Xinyu Niu, Haizhong Qian, et al.
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2383-2383
Open Access

EFFC-Net: lightweight fully convolutional neural networks in remote sensing disaster images
Jianye Yuan, Xin Ma, Zhentong Zhang, et al.
Geo-spatial Information Science (2023), pp. 1-12
Open Access | Times Cited: 8

Inferring the heterogeneous effect of urban land use on building height with causal machine learning
Yimin Chen, Jing M. Chen, Shuai Zhao, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 2

Mapping urban functional zones with remote sensing and geospatial big data: a systematic review
Shouhang Du, Xiuyuan Zhang, Yichen Lei, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 2

The Correlation between Urban Form and Carbon Emissions: A Bibliometric and Literature Review
Yanyi Zhu, Youpei Hu
Sustainability (2023) Vol. 15, Iss. 18, pp. 13439-13439
Open Access | Times Cited: 6

Identification of Urban Functional Zones Based on POI Density and Marginalized Graph Autoencoder
Runpeng Xu, Zhenjie Chen, Feixue Li, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 8, pp. 343-343
Open Access | Times Cited: 5

Potentiality of Landsat-9 for early-season mapping of winter garlic and winter wheat
Haifeng Tian, Mengdan Yang, Fangli Wu, et al.
Geo-spatial Information Science (2024), pp. 1-12
Open Access | Times Cited: 1

A Novel Approach to Urban Village Extraction and Generalization from Digital Line Graphics Using the Computational Geometric Method and the Modified Hausdorff Distance
Xiaorong Gao, Haowen Yan, Xiaomin Lu, et al.
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 6, pp. 198-198
Open Access

Identifying urban villages: an attention-based deep learning approach that integrates remote sensing and street-level images
Sheng Hu, Zhonglin Yang, Hanfa Xing, et al.
International Journal of Geographical Information Science (2024), pp. 1-23
Closed Access

The spatiotemporal socio-demography of the Tokyo capital region: a data-driven explorative approach
Eigo Tateishi
Review of Regional Research (2023) Vol. 43, Iss. 3, pp. 467-519
Open Access

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