Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Space-Time Covariance Structures and Models
Wanfang Chen, Marc G. Genton, Ying Sun
Annual Review of Statistics and Its Application (2020) Vol. 8, Iss. 1, pp. 191-215
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Second-Generation Functional Data
Salil Koner, Ana‐Maria Staicu
Annual Review of Statistics and Its Application (2023) Vol. 10, Iss. 1, pp. 547-572
Open Access | Times Cited: 17
Research Progress on Spatiotemporal Interpolation Methods for Meteorological Elements
Yizhen Wang, Xin Liu, Rui Liu, et al.
Water (2024) Vol. 16, Iss. 6, pp. 818-818
Open Access | Times Cited: 5
The SPDE approach for spatio-temporal datasets with advection and diffusion
Lucia Clarotto, Denis Allard, Thomas Romary, et al.
Spatial Statistics (2024) Vol. 62, pp. 100847-100847
Open Access | Times Cited: 4
Spatial functional principal component analysis for spatially-indexed curves observed on closed spatial domain
Alexander M. Long, Meredith King, Ana‐Maria Staicu
Electronic Journal of Statistics (2025) Vol. 19, Iss. 1
Open Access
A Multivariate Approach for Modeling Spatio‐Temporal Agrometeorological Variables
Sandra De Iaco, Claudia Cappello, Monica Palma, et al.
Environmetrics (2025) Vol. 36, Iss. 2
Open Access
Spatio-temporal DeepKriging for interpolation and probabilistic forecasting
Pratik Nag, Ying Sun, Brian J. Reich
Spatial Statistics (2023) Vol. 57, pp. 100773-100773
Open Access | Times Cited: 11
Cellular Traffic Prediction: A Deep Learning Method Considering Dynamic Nonlocal Spatial Correlation, Self-Attention, and Correlation of Spatiotemporal Feature Fusion
Zheheng Rao, Yanyan Xu, Shaoming Pan, et al.
IEEE Transactions on Network and Service Management (2022) Vol. 20, Iss. 1, pp. 426-440
Closed Access | Times Cited: 14
Fully nonseparable Gneiting covariance functions for multivariate space–time data
Denis Allard, Lucia Clarotto, Xavier Emery
Spatial Statistics (2022) Vol. 52, pp. 100706-100706
Open Access | Times Cited: 9
Modeling Massive Highly Multivariate Nonstationary Spatial Data with the Basis Graphical Lasso
Mitchell Krock, William Kleiber, Dorit Hammerling, et al.
Journal of Computational and Graphical Statistics (2023) Vol. 32, Iss. 4, pp. 1472-1487
Open Access | Times Cited: 4
Non-Separable Covariance Kernels for Spatiotemporal Gaussian Processes Based on a Hybrid Spectral Method and the Harmonic Oscillator
Dionissios T. Hristopulos
IEEE Transactions on Information Theory (2023) Vol. 70, Iss. 2, pp. 1268-1283
Closed Access | Times Cited: 4
A New Construction of Covariance Functions for Gaussian Random Fields
Weichao Wu, Athanasios C. Micheas
Sankhya A (2024) Vol. 86, Iss. 1, pp. 530-574
Closed Access | Times Cited: 1
Positive semidefinite kernels that are axially symmetric on the sphere and stationary in time: spectral and semi-spectral theory, and constructive approaches
Xavier Emery, Janin Jäger, Emilio Porcu
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 6, pp. 2315-2329
Closed Access | Times Cited: 1
On the impact of spatial covariance matrix ordering on tile low‐rank estimation of Matérn parameters
Sihan Chen, Sameh Abdulah, Ying Sun, et al.
Environmetrics (2024) Vol. 35, Iss. 6
Open Access | Times Cited: 1
Underdetection in a stochastic SIR model for the analysis of the COVID-19 Italian epidemic
Antonella Bodini, Sara Pasquali, Antonio Pievatolo, et al.
Stochastic Environmental Research and Risk Assessment (2021) Vol. 36, Iss. 1, pp. 137-155
Open Access | Times Cited: 10
Are You All Normal? It Depends!
Wanfang Chen, Marc G. Genton
International Statistical Review (2022) Vol. 91, Iss. 1, pp. 114-139
Open Access | Times Cited: 7
Covariance models for multivariate random fields resulting from pseudo cross-variograms
Christopher Dörr, Martin Schlather
Journal of Multivariate Analysis (2023) Vol. 197, pp. 105199-105199
Open Access | Times Cited: 3
Spatio-Temporal Cross-Covariance Functions under the Lagrangian Framework with Multiple Advections
Mary Lai O. Salvaña, Amanda Lenzi, Marc G. Genton
Journal of the American Statistical Association (2022) Vol. 118, Iss. 544, pp. 2746-2761
Open Access | Times Cited: 5
Separable expansions for covariance estimation via the partial inner product
Tomáš Masák, Soham Sarkar, Victor M. Panaretos
Biometrika (2022) Vol. 110, Iss. 1, pp. 225-247
Open Access | Times Cited: 5
Parallel space-time likelihood optimization for air pollution prediction on large-scale systems
Mary Lai O. Salvaña, Sameh Abdulah, Hatem Ltaief, et al.
(2022), pp. 1-11
Open Access | Times Cited: 4
Surface time series models for large spatio-temporal datasets
Israel Martínez‐Hernández, Marc G. Genton
Spatial Statistics (2022) Vol. 53, pp. 100718-100718
Open Access | Times Cited: 4
Test and Visualization of Covariance Properties for Multivariate Spatio-Temporal Random Fields
Huang Huang, Ying Sun, Marc G. Genton
Journal of Computational and Graphical Statistics (2023) Vol. 32, Iss. 4, pp. 1545-1555
Open Access | Times Cited: 2
A dynamics-weighted principal components analysis of dominant atmospheric drivers of ocean variability with an application to the North Atlantic subpolar gyre
Daniel E. Amrhein, Dafydd Stephenson, LuAnne Thompson
Authorea (Authorea) (2024)
Open Access
Assessing multivariate bias corrections of climate simulations on various impact models under climate change
Denis Allard, Mathieu Vrac, Bastien François, et al.
(2024)
Open Access
Modelling multivariate spatio-temporal data with identifiable variational autoencoders
Mika Sipilä, Claudia Cappello, Sandra De Iaco, et al.
Neural Networks (2024) Vol. 181, pp. 106774-106774
Open Access
CUSUM Schemes for Stationary and Nonstationary Gaussian Processes
Olha Bodnar, Taras Bodnar
(2024), pp. 39-57
Closed Access
Page 1 - Next Page

Scroll to top