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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:

Improving prediction of COVID-19 evolution by fusing epidemiological and mobility data
Santi García-Cremades, Juan Morales-García, Rocío Hernández-Sanjaime, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

A Graph-theoretic Framework for Integrating Mobility Data into Mathematical Epidemic Models
Razvan G. Romanescu
Infectious Disease Modelling (2025) Vol. 10, Iss. 2, pp. 716-730
Open Access
Data-Driven Analytics Leveraging Artificial Intelligence in the Era of COVID-19: An Insightful Review of Recent Developments
Abdul Majeed, Seong Oun Hwang
Symmetry (2021) Vol. 14, Iss. 1, pp. 16-16
Open Access | Times Cited: 36
Forecasting the spread of COVID-19 based on policy, vaccination, and Omicron data
Kyulhee Han, Bogyeom Lee, Doeun Lee, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Human mobility and infection from Covid-19 in the Osaka metropolitan area
Haruka Kato, Atsushi Takizawa
npj Urban Sustainability (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 15
Google and Apple mobility data as predictors for European tourism during the COVID-19 pandemic: A neural network approach
Benedek Nagy, Manuela Rozalia Gabor, Ioan Bogdan Bacoș, et al.
Equilibrium Quarterly Journal of Economics and Economic Policy (2023) Vol. 18, Iss. 2, pp. 419-459
Open Access | Times Cited: 8
Concentration and size distribution of atmospheric particles in southern Italy during COVID-19 lockdown period
Marianna Conte, Adelaide Dinoi, Fabio Massimo Grasso, et al.
Atmospheric Environment (2022) Vol. 295, pp. 119559-119559
Open Access | Times Cited: 12
Real-time forecasting of COVID-19 spread according to protective behavior and vaccination: autoregressive integrated moving average models
Chieh Cheng, Weiming Jiang, Byron Fan, et al.
BMC Public Health (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 7
Deep learning-based approach for COVID-19 spread prediction
Silvino Pedro Cumbane, Győző Gidófalvi
International Journal of Data Science and Analytics (2024)
Open Access | Times Cited: 2
Responsiveness of open innovation to COVID-19 pandemic: The case of data for good
Francesco Scotti, Francesco Pierri, Giovanni Bonaccorsi, et al.
PLoS ONE (2022) Vol. 17, Iss. 4, pp. e0267100-e0267100
Open Access | Times Cited: 11
Meteorological factors and non-pharmaceutical interventions explain local differences in the spread of SARS-CoV-2 in Austria
Katharina Ledebur, Michaela Kaleta, Jiaying Chen, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 4, pp. e1009973-e1009973
Open Access | Times Cited: 10
Google Mobility Data as a Predictor for Tourism in Romania during the COVID-19 Pandemic—A Structural Equation Modeling Approach for Big Data
Benedek Nagy, Manuela Rozalia Gabor, Ioan Bogdan Bacoș
Electronics (2022) Vol. 11, Iss. 15, pp. 2317-2317
Open Access | Times Cited: 9
A mixture of mobility and meteorological data provides a high correlation with COVID-19 growth in an infection-naive population: a study for Spanish provinces
David Conesa, Víctor López de Rioja, Tania Gullón, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 1
Using a stochastic continuous-time Markov chain model to examine alternative timing and duration of the COVID-19 lockdown in Kuwait: what can be done now?
Mustafa Al‐Zoughool, Tamer Oraby, Harri Vainio, et al.
Archives of Public Health (2022) Vol. 80, Iss. 1
Open Access | Times Cited: 8
Replacing discontinued Big Tech mobility reports: a penetration-based analysis
Francesco Finazzi
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
How the Stringency of the COVID-19 Restrictions Influences Motivation for Adherence and Well-Being: The Critical Role of Proportionality
Joachim Waterschoot, Sofie Morbée, Omer Van den Bergh, et al.
International Journal of Health Policy and Management (2023)
Open Access | Times Cited: 4
Predicting COVID-19-Induced Lung Damage Based on Machine Learning Methods
Iulii Vasilev, Mikhail Petrovskiy, И. В. Машечкин, et al.
Programming and Computer Software (2022) Vol. 48, Iss. 4, pp. 243-255
Open Access | Times Cited: 6
The Effectiveness of Mobility Restrictions on Controlling the Spread of COVID-19 in a Resistant Population
Dina Albassam, Mariam Nouh, Anette Hosoi
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 7, pp. 5343-5343
Open Access | Times Cited: 3
COVIDSensing: Social Sensing Strategy for the Management of the COVID-19 Crisis
A. Sepulveda, Carlos Periñán-Pascual, Andrés Muñoz, et al.
Electronics (2021) Vol. 10, Iss. 24, pp. 3157-3157
Open Access | Times Cited: 8
Development of forecast models for COVID-19 hospital admissions using anonymized and aggregated mobile network data
Jalil Taghia, Valentin Kulyk, Selim İckin, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 5
A fairness assessment of mobility-based COVID-19 case prediction models
Abdolmajid Erfani, Vanessa Frías-Martínez
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0292090-e0292090
Open Access | Times Cited: 2
Forecasting daily COVID-19 cases with gradient boosted regression trees and other methods: evidence from U.S. cities
Anindya Sen, Nathaniel T. Stevens, Nam Tran, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 2
Autoregressive count data modeling on mobility patterns to predict cases of COVID-19 infection
Jing Zhao, Mengjie Han, Zhenwu Wang, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 12, pp. 4185-4200
Open Access | Times Cited: 4
Analysis of Performance Improvements and Bias Associated with the Use of Human Mobility Data in COVID-19 Case Prediction Models
Saad Mohammad Abrar, Naman Awasthi, Daniel Smolyak, et al.
ACM Journal on Computing and Sustainable Societies (2023) Vol. 1, Iss. 2, pp. 1-36
Open Access | Times Cited: 2
Is it possible to estimate the number of patients with COVID-19 admitted to intensive care units and general wards using clinical and telemedicine data?
Caio Querino Gabaldi, Adriana Serra Cypriano, Carlos Henrique Sartorato Pedrotti, et al.
Einstein (São Paulo) (2024) Vol. 22
Open Access
Risk Index of Regional Infection Expansion in COVID19: Moving Direction Entropy using Mobility Data and Its Application to Tokyo (Preprint)
Yukio Ohsawa, Yi Sun, Kaira Sekiguchi, et al.
JMIR Public Health and Surveillance (2024) Vol. 10, pp. e57742-e57742
Open Access
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