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:
Adaptive Gaussian Markov random field spatiotemporal models for infectious disease mapping and forecasting
Ying C. MacNab
Spatial Statistics (2023) Vol. 53, pp. 100726-100726
Open Access | Times Cited: 6
Ying C. MacNab
Spatial Statistics (2023) Vol. 53, pp. 100726-100726
Open Access | Times Cited: 6
Showing 6 citing articles:
A Review of Bayesian Spatiotemporal Models in Spatial Epidemiology
Yufeng Wang, Xue Chen, Feng Xue
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 3, pp. 97-97
Open Access | Times Cited: 5
Yufeng Wang, Xue Chen, Feng Xue
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 3, pp. 97-97
Open Access | Times Cited: 5
High-dimensional order-free multivariate spatial disease mapping
Gonzalo Vicente, Aritz Adin, T. Goicoa, et al.
Statistics and Computing (2023) Vol. 33, Iss. 5
Open Access | Times Cited: 9
Gonzalo Vicente, Aritz Adin, T. Goicoa, et al.
Statistics and Computing (2023) Vol. 33, Iss. 5
Open Access | Times Cited: 9
Bayesian hierarchical spatiotemporal models for prediction of (under)reporting rates and cases: COVID-19 infection among the older people in the United States during the 2020–2022 pandemic
Jingxin Lei, Ying C. MacNab
Spatial and Spatio-temporal Epidemiology (2024) Vol. 49, pp. 100658-100658
Open Access | Times Cited: 1
Jingxin Lei, Ying C. MacNab
Spatial and Spatio-temporal Epidemiology (2024) Vol. 49, pp. 100658-100658
Open Access | Times Cited: 1
Similarity- and neighbourhood-based dynamic models for infection data: Uncovering the complexities of the COVID-19 infection risks
Helena Baptista, Jorge M. Mendes, Ying C. MacNab
Spatial and Spatio-temporal Epidemiology (2024) Vol. 51, pp. 100681-100681
Open Access
Helena Baptista, Jorge M. Mendes, Ying C. MacNab
Spatial and Spatio-temporal Epidemiology (2024) Vol. 51, pp. 100681-100681
Open Access
Exploring disease mapping models in big data contexts: some new proposals
Erick Orozco‐Acosta
(2023)
Open Access
Erick Orozco‐Acosta
(2023)
Open Access
A scalable approach for short‐term disease forecasting in high spatial resolution areal data
Erick Orozco‐Acosta, Andrea Riebler, Aritz Adin, et al.
Biometrical Journal (2023) Vol. 65, Iss. 8
Open Access
Erick Orozco‐Acosta, Andrea Riebler, Aritz Adin, et al.
Biometrical Journal (2023) Vol. 65, Iss. 8
Open Access
