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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:

Hawkes process modeling of COVID-19 with mobility leading indicators and spatial covariates
Wen-Hao Chiang, Xueying Liu, George Mohler
International Journal of Forecasting (2021) Vol. 38, Iss. 2, pp. 505-520
Open Access | Times Cited: 60

Showing 26-50 of 60 citing articles:

The spreading of Covid-19 in Mexico: A diffusional approach
Carlos G. Aguilar-Madera, Gilberto Espinosa-Paredes, E.C. Herrera-Hernández, et al.
Results in Physics (2021) Vol. 27, pp. 104555-104555
Open Access | Times Cited: 6
2T-POT Hawkes model for left- and right-tail conditional quantile forecasts of financial log returns: Out-of-sample comparison of conditional EVT models
Matthew F. Tomlinson, David Greenwood, Marcin Mucha‐Kruczyński
International Journal of Forecasting (2023) Vol. 40, Iss. 1, pp. 324-347
Open Access | Times Cited: 2
A spatio‐temporal Dirichlet process mixture model for coronavirus disease‐19
Jaewoo Park, Seorim Yi, Won Chang, et al.
Statistics in Medicine (2023) Vol. 42, Iss. 30, pp. 5555-5576
Open Access | Times Cited: 2
Characterization of partially observed epidemics through Bayesian inference: application to COVID-19
Cosmin Safta, Jaideep Ray, Khachik Sargsyan
Computational Mechanics (2020) Vol. 66, Iss. 5, pp. 1109-1129
Open Access | Times Cited: 5
Hierarchical Bayesian spatio-temporal modeling of COVID-19 in the United States
Kevin Dayaratna, Drew Gonshorowski, Mary Kolesar
Journal of Applied Statistics (2022) Vol. 50, Iss. 11-12, pp. 2663-2680
Open Access | Times Cited: 3
Point process modeling through a mixture of homogeneous and self‐exciting processes
Álvaro Briz‐Redón, Jorge Mateu
Statistica Neerlandica (2024)
Closed Access
GTHP: a novel graph transformer Hawkes process for spatiotemporal event prediction
Yiman Xie, Jianbin Wu, Yan Zhou
Knowledge and Information Systems (2024) Vol. 66, Iss. 7, pp. 4043-4062
Closed Access
PREDIKSI RESIKO GEMPA MENGGUNAKAN MODEL SPATIAL POINT PROCESS
Budiono Rahman, Tiani Wahyu Utami, Fatkhurokhman Fauzi
VARIANCE Journal of Statistics and Its Applications (2024) Vol. 6, Iss. 1, pp. 39-48
Open Access
A stochastic model for the early stages of highly contagious epidemics by using a state-dependent point process
Jonathan A. Chávez Casillas
Communications in Nonlinear Science and Numerical Simulation (2024) Vol. 136, pp. 108100-108100
Closed Access
Wasserstein barycenter regression: application to the joint dynamics of regional GDP and life expectancy in Italy
Susanna Levantesi, Andrea Nigri, Paolo Pagnottoni, et al.
AStA Advances in Statistical Analysis (2024)
Open Access
SCORE: Scalable Contact Tracing over Uncertain Trajectories
Avinaba Mistry, Xichen Zhang, Suprio Ray, et al.
(2024), pp. 68-93
Closed Access
A multivariate cumulative damage model and some applications
Raúl Fierro
Handbook of statistics (2024)
Closed Access
Efficient non-parametric estimation of variable productivity Hawkes processes
Scott Phillips, Frederic Paik Schoenberg
Journal of Applied Statistics (2024), pp. 1-18
Open Access
Crime risk assessment through Cox and self-exciting spatio-temporal point processes
Isabel Escudero, J. M. Angulo, Jorge Mateu, et al.
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access
Global Infectious Disease Early Warning Models: An Updated Review and Lessons from the COVID-19 Pandemic
Weihua Hu, Huimin Sun, Yongyue Wei, et al.
Infectious Disease Modelling (2024) Vol. 10, Iss. 2, pp. 410-422
Open Access
Cumulative damage for multi-type epidemics and an application to infectious diseases
Raúl Fierro
Journal of Mathematical Biology (2023) Vol. 86, Iss. 3
Open Access | Times Cited: 1
A Hawkes Model with Carma(P,Q) Intensity
Lorenzo Mercuri, Andrea Perchiazzo, Edit Rroji
(2023)
Open Access | Times Cited: 1
The Multivariate Generalized Linear Hawkes Process in High Dimensions with Applications in Neuroscience
Masoumeh Fallahi, Reza Pourtaheri, Farzad Eskandari
Methodology And Computing In Applied Probability (2023) Vol. 26, Iss. 1
Open Access | Times Cited: 1
Extended Bayesian endemic–epidemic models to incorporate mobility data into COVID‐19 forecasting
Dirk Douwes‐Schultz, Shuo Sun, Alexandra M. Schmidt, et al.
Canadian Journal of Statistics (2022) Vol. 50, Iss. 3, pp. 713-733
Open Access | Times Cited: 2
Alternative SIAR models for infectious diseases and applications in the study of non-compliance
Marcelo Bongarti, Luke Diego Galvan, Lawford Hatcher, et al.
Mathematical Models and Methods in Applied Sciences (2022) Vol. 32, Iss. 10, pp. 1987-2015
Open Access | Times Cited: 2
Geographical network model for COVID-19 spread among dynamic epidemic regions
Roman Zúñiga Macías, Humberto Gutiérrez Pulido, Edgar Alejandro Guerrero Arroyo, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 4, pp. 4237-4259
Open Access | Times Cited: 1
A Novel Point Process Model for COVID-19: Multivariate Recursive Hawkes Process
Bohan Chen, Pujan Shrestha, Andrea L. Bertozzi, et al.
Modeling and simulation in science, engineering & technology (2022), pp. 141-182
Closed Access | Times Cited: 1
Estructuras estocásticas notables en procesos puntuales espacio-temporales y medidas de riesgo bivariantes
Amalia Isabel Escudero Villa
(2023)
Open Access
Large Deviations for Hawkes Processes with Randomized Baseline Intensity
Youngsoo Seol
Mathematics (2023) Vol. 11, Iss. 8, pp. 1826-1826
Open Access
Hawkes process modeling quantifies complicated firing behaviors of cortical neurons during sleep and wakefulness
Takeshi Kanda, Toshimitsu Aritake, Kaoru Ohyama, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access

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