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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:

Ecological Associations between Obesity Prevalence and Neighborhood Determinants Using Spatial Machine Learning in Chicago, Illinois, USA
Aynaz Lotfata, Stefanos Georganos, Stamatis Kalogirou, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 11, pp. 550-550
Open Access | Times Cited: 9

Showing 9 citing articles:

Socioeconomic and environmental determinants of asthma prevalence: a cross-sectional study at the U.S. County level using geographically weighted random forests
Aynaz Lotfata, Mohammad Moosazadeh, Marco Helbich, et al.
International Journal of Health Geographics (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 18
How Diversity and Accessibility Affect Street Vitality in Historic Districts?
Jing Huang, Xiao Hu, Jieqiong Wang, et al.
Land (2023) Vol. 12, Iss. 1, pp. 219-219
Open Access | Times Cited: 16
Fine Estimation of Water Quality in the Yangtze River Basin Based on a Geographically Weighted Random Forest Regression Model
Fuliang Deng, Wenhui Liu, Mei Sun, et al.
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 731-731
Open Access
Hybridizing spatial machine learning to explore the fine-scale heterogeneity between stunting prevalence and its associated risk determinants in Rwanda
Gilbert Nduwayezu, Ali Mansourian, Jean Pierre Bizimana, et al.
Geo-spatial Information Science (2025), pp. 1-21
Open Access
Assessment of the spatial association between multiple pollutants of surface water and digestive cancer incidence in China: A novel application of spatial machine learning
Wentao Gu, Fang Xue, Wei Han, et al.
Ecological Indicators (2023) Vol. 154, pp. 110897-110897
Open Access | Times Cited: 9
Mapping China’s Changing Gross Domestic Product Distribution Using Remotely Sensed and Point-of-Interest Data with Geographical Random Forest Model
Fuliang Deng, Luwei Cao, Fangzhou Li, et al.
Sustainability (2023) Vol. 15, Iss. 10, pp. 8062-8062
Open Access | Times Cited: 5
Spatial Clusters of Cancer Mortality in Brazil: A Machine Learning Modeling Approach
Bruno Casaes Teixeira, Tatiana Natasha Toporcov, Francisco Chiaravalloti Neto, et al.
International Journal of Public Health (2023) Vol. 68
Open Access | Times Cited: 2
Spatial temperature prediction—a machine learning and GIS perspective
B. Sailaja, Sitaram Gayatri, Santosha Rathod, et al.
Theoretical and Applied Climatology (2024) Vol. 155, Iss. 11, pp. 9619-9642
Closed Access
Differences in the influence of the built environment on physical activities for people with normal weight, overweight, and obesity
Yuxuan Zou, Donggen Wang
Health & Place (2024) Vol. 90, pp. 103385-103385
Closed Access
Obesity in U.S. low-income veterans:Prevalence, clinical characteristics, and homelessness
Elina A. Stefanovics, Marc N. Potenza, Jack Tsai
Journal of Psychiatric Research (2024) Vol. 173, pp. 317-325
Closed Access
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