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:

Spatial Patterns of the Spread of COVID-19 in Singapore and the Influencing Factors
Jianfang Ma, Haihong Zhu, Peng Li, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 3, pp. 152-152
Open Access | Times Cited: 21

Showing 21 citing articles:

Green spaces, especially nearby forest, may reduce the SARS-CoV-2 infection rate: A nationwide study in the United States
Bin Jiang, Yuwen Yang, Long Chen, et al.
Landscape and Urban Planning (2022) Vol. 228, pp. 104583-104583
Open Access | Times Cited: 20

Simulation and forecasting models of COVID-19 taking into account spatio-temporal dynamic characteristics: A review
Peipei Wang, Xinqi Zheng, Haiyan Liu
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 18

Identifying spatial heterogeneity of COVID-19 transmission clusters and their built-environment features at the neighbourhood scale
Lan Wang, Zhanzhan Hu, Kaichen Zhou, et al.
Health & Place (2023) Vol. 84, pp. 103130-103130
Closed Access | Times Cited: 8

Spatiotemporal clusters and the socioeconomic determinants of COVID-19 in Toronto neighbourhoods, Canada
Nushrat Nazia, Jane Law, Zahid A Butt
Spatial and Spatio-temporal Epidemiology (2022) Vol. 43, pp. 100534-100534
Open Access | Times Cited: 9

Investigating the Spatiotemporal Relationship between the Built Environment and COVID-19 Transmission
Hao Huang, Haochen Shi, Mirna Zordan, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 10, pp. 390-390
Open Access | Times Cited: 4

Measuring COVID-19 Vulnerability for Northeast Brazilian Municipalities: Social, Economic, and Demographic Factors Based on Multiple Criteria and Spatial Analysis
Ciro José Jardim de Figueiredo, Caroline Maria de Miranda Mota, Kaliane Gabriele Dias de Araújo, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 8, pp. 449-449
Open Access | Times Cited: 7

Multiscale Geographically Weighted Regression in the Investigation of Local COVID-19 Anomalies Based on Population Age Structure in Poland
Mateusz Ciski, Krzysztof Rząsa
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 10, pp. 5875-5875
Open Access | Times Cited: 3

Spatial-temporal diffusion model of aggregated infectious diseases based on population life characteristics: a case study of COVID-19
Wen Cao, Siqi Zhao, Xiaochong Tong, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 7, pp. 13086-13112
Open Access | Times Cited: 2

The Processing Spatial Data for Statistical Modeling and Visualization Case study: INLA model for COVID-19 in Alabama, USA
Getachew Engidaw, György Terdik
Acta Technica Jaurinensis (2024) Vol. 17, Iss. 3, pp. 130-142
Open Access

The Course of the COVID-19 Pandemic in Poland in Relation to the Level of Sustainable Development – Multiscale Geographically Weighted Regression Analysis
Krzysztof Rząsa, Mateusz Ciski
Acta Scientiarum Polonorum Administratio Locorum (2024) Vol. 23, Iss. 4, pp. 417-436
Open Access

Spatial analysis of COVID-19 risk factors: a case study in Bangladesh
Sefat-E- Barket, Rezaul Karim
Aerobiologia (2024) Vol. 40, Iss. 2, pp. 247-269
Closed Access

Mapping the heterogeneity of population response in different countries to the spread of COVID-19
Natalia Krasnoshtanova, А. К. Черкашин
Geodesy and Cartography (2024) Vol. 1006, Iss. 4, pp. 20-29
Closed Access

Exploring demographic, healthcare, and socio-economic factors as predictors of COVID-19 incidence rate: A spatial regression analysis
Kittipong Sornlorm, Hein Stigum, Wongsa Laohasiriwong, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0312717-e0312717
Open Access

What makes housing more vulnerable to pandemics? A Review of Post-Covid19 literature
Mouna Mazri, Koudoua Ferhati
E3S Web of Conferences (2024) Vol. 585, pp. 06009-06009
Open Access

Applying Smart Restrictions In The Face of Epidemic Diseases (Case study of COVID-19)
Mohammad Reza Malek, Mohammad Reza Khalili, Ghobad Moradi
Deleted Journal (2024) Vol. 14, Iss. 1, pp. 51-62
Closed Access

Multi-Source Data and Machine Learning-Based Refined Governance for Responding to Public Health Emergencies in Beijing: A Case Study of COVID-19
Demiao Yu, Xiaoran Huang, Hengyi Zang, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 2, pp. 69-69
Open Access | Times Cited: 1

An analysis of the spatio-temporal behavior of COVID-19 patients using activity trajectory data
Xiumei Shen, Hao Yuan, Wenzhao Jia, et al.
Heliyon (2023) Vol. 9, Iss. 10, pp. e20681-e20681
Open Access

Utilizing time series for forecasting the development trend of coronavirus: A validation process
Xusong Zhang, Feng Wang
Journal of Computational Methods in Sciences and Engineering (2023) Vol. 23, Iss. 6, pp. 2923-2935
Closed Access

Scientific substantiation of effectiveness of anti-epidemic measures in fight against focal incidence of COVID‑19 in dormitories of separate type
A. V. Zadorozhny, N. Pshenichnaya, В. Г. Акимкин
Medical alphabet (2022), Iss. 14, pp. 7-13
Closed Access

Impact of Immunization in the Reduction of Mortality and Lethality Rates by COVID-19 in Brazil
Pedro Henrique Carvalho Santos, Cruz Ytalo Gustavo Silva, Geovane Rossone Reis, et al.
The International Journal of Science & Technoledge (2022)
Open Access

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