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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:

Ranking the importance of demographic, socioeconomic, and underlying health factors on US COVID-19 deaths: A geographical random forest approach
George Grekousis, Zhixin Feng, Ioannis Marakakis, et al.
Health & Place (2022) Vol. 74, pp. 102744-102744
Open Access | Times Cited: 96

Showing 1-25 of 96 citing articles:

Machine learning applications for COVID-19 outbreak management
Arash Heidari, Nima Jafari Navimipour, Mehmet Ünal, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 18, pp. 15313-15348
Open Access | Times Cited: 90
Environmental factors for outdoor jogging in Beijing: Insights from using explainable spatial machine learning and massive trajectory data
Wei Yang, Yingpeng Li, Yong Liu, et al.
Landscape and Urban Planning (2023) Vol. 243, pp. 104969-104969
Closed Access | Times Cited: 48
Exploring nonlinear effects of built environment on jogging behavior using random forest
Yong Liu, Yingpeng Li, Wei Yang, et al.
Applied Geography (2023) Vol. 156, pp. 102990-102990
Closed Access | Times Cited: 47
Towards the next generation of Geospatial Artificial Intelligence
Gengchen Mai, Yiqun Xie, Xiaowei Jia, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 136, pp. 104368-104368
Open Access | Times Cited: 1
Examining the importance of built and natural environment factors in predicting self-rated health in older adults: An extreme gradient boosting (XGBoost) approach
Yiyi Chen, Xian Zhang, George Grekousis, et al.
Journal of Cleaner Production (2023) Vol. 413, pp. 137432-137432
Closed Access | Times Cited: 31
Geographically weighted random forests for macro-level crash frequency prediction
Dongyu Wu, Yingheng Zhang, Qiaojun Xiang
Accident Analysis & Prevention (2023) Vol. 194, pp. 107370-107370
Closed Access | Times Cited: 22
A deep autoencoder network connected to geographical random forest for spatially aware geochemical anomaly detection
Zeinab Soltani, Hossein Hassani, Saeid Esmaeiloghli
Computers & Geosciences (2024) Vol. 190, pp. 105657-105657
Closed Access | Times Cited: 7
Novel Insights in Spatial Epidemiology Utilizing Explainable AI (XAI) and Remote Sensing
Αναστάσιος Τέμενος, Ioannis N. Tzortzis, Maria Kaselimi, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3074-3074
Open Access | Times Cited: 30
People living in disadvantaged areas faced greater challenges in staying active and using recreational facilities during the COVID-19 pandemic
Sungmin Lee, Chanam Lee, Minjie Xu, et al.
Health & Place (2022) Vol. 75, pp. 102805-102805
Open Access | Times Cited: 29
The prevalence of anxiety and its key influencing factors among the elderly in China
Yixuan Liu, Yanling Xu, Xinyan Yang, et al.
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 19
Examining the Spatially Varying Relationships between Landslide Susceptibility and Conditioning Factors Using a Geographical Random Forest Approach: A Case Study in Liangshan, China
Xiaoliang Dai, Yunqiang Zhu, Kai Sun, et al.
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1513-1513
Open Access | Times Cited: 19
Using geographical random forest models to explore spatial patterns in the neighborhood determinants of hypertension prevalence across chicago, illinois, USA
Aynaz Lotfata, George Grekousis, Ruoyu Wang
Environment and Planning B Urban Analytics and City Science (2023) Vol. 50, Iss. 9, pp. 2376-2393
Closed Access | Times Cited: 18
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: 17
Examining the nonlinear relationship between neighborhood environment and residents' health
Jiexia Xu, Jing Ma, Sui Tao
Cities (2024) Vol. 152, pp. 105213-105213
Closed Access | Times Cited: 6
An ensemble framework for explainable geospatial machine learning models
Lingbo Liu
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 132, pp. 104036-104036
Open Access | Times Cited: 6
Influencing factors of spatial vitality in underground space around railway stations: A case study in Shanghai
Zhenhua Li, Yi Lü, Yu Zhuang, et al.
Tunnelling and Underground Space Technology (2024) Vol. 147, pp. 105730-105730
Closed Access | Times Cited: 5
Unraveling nonlinear and spatial non-stationary effects of urban form on surface urban heat islands using explainable spatial machine learning
Yujia Ming, Yong Liu, Yingpeng Li, et al.
Computers Environment and Urban Systems (2024) Vol. 114, pp. 102200-102200
Closed Access | Times Cited: 5
Exploring the impact of land use on bird diversity in high-density urban areas using explainable machine learning models
Xiangyu Li, Zhaoxi Wang, Yu Chen, et al.
Journal of Environmental Management (2025) Vol. 374, pp. 124080-124080
Closed Access
Exploring the associations between street-view green space quantity and quality, and influenza in Guangzhou, China through machine learning and spatial regression: A socio-economic equity perspective
Ruoyu Wang, Miao‐Kun Sun, Shengao Yi, et al.
Environment and Planning B Urban Analytics and City Science (2025)
Closed Access
Interpretable Machine Learning Insights into the Factors Influencing Residents’ Travel Distance Distribution
Ruisi Ma, Yaoyu Lin, Dongquan Yang, et al.
ISPRS International Journal of Geo-Information (2025) Vol. 14, Iss. 1, pp. 39-39
Open Access
Exploring nonlinear and interaction effects of TOD on housing rents using XGBoost
Chen Peng, Shengfu Yang, Peng Zhang, et al.
Cities (2025) Vol. 158, pp. 105728-105728
Closed Access
Exploring the association between personality traits and colour saturation preference using machine learning
Na Xue, Jinhong Ding
Acta Psychologica (2025) Vol. 253, pp. 104752-104752
Closed Access
Evaluating the social-economic recovery impacts of the built environment post- pandemic: A case study of COVID-19
Shuang Ma, Xuanyu Zhou, Wei Cai, et al.
Transactions in Urban Data Science and Technology (2025)
Closed Access
Accounting for spatial variability with geo-aware random forest: A case study for US major crop mapping
Yiqun Xie, Anh N. Nhu, Xiao‐Peng Song, et al.
Remote Sensing of Environment (2025) Vol. 319, pp. 114585-114585
Closed Access
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
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