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:

An Efficient COVID-19 Prediction Model Validated with the Cases of China, Italy and Spain: Total or Partial Lockdowns?
Samuel Sánchez Caballero, Miguel Ángel Sellés Cantó, Miguel Ángel Peydró Rasero, et al.
Journal of Clinical Medicine (2020) Vol. 9, Iss. 5, pp. 1547-1547
Open Access | Times Cited: 40

Showing 26-50 of 40 citing articles:

Prediction of the COVID-19 infectivity and the sustainable impact on public health under deep learning algorithm
Weiwei Wang, Jinghui Cai, Jiali Xu, et al.
Soft Computing (2021) Vol. 27, Iss. 5, pp. 2695-2704
Open Access | Times Cited: 2

The evaluation of COVID-19 prediction precision with a Lyapunov-like exponent
Jiří Mazurek
PLoS ONE (2021) Vol. 16, Iss. 5, pp. e0252394-e0252394
Open Access | Times Cited: 2

Estimating Parameters of a SEIRD Model Applied to SARS-CoV-2 Infections in Germany based on the Particle Swarm Optimization Method

Applied Mathematics & Information Sciences (2021) Vol. 15, Iss. 4, pp. 423-428
Closed Access | Times Cited: 2

Impact of Covid19 on perceived barriers to practice physical activity in users of fitness centers in Spain
José Antonio Santacruz Lozano, Vıctor Jiménez Díaz-Benito, Luis Cereijo, et al.
Cuadernos de Psicología del Deporte (2022) Vol. 22, Iss. 2, pp. 221-235
Open Access | Times Cited: 1

An operationally implementable model for predicting the effects of an infectious disease on a comprehensive regional healthcare system
Daniel L. Chertok, Chad Konchak, Nirav Shah, et al.
PLoS ONE (2021) Vol. 16, Iss. 10, pp. e0258710-e0258710
Open Access | Times Cited: 1

ANÁLISE SWOT DO ENSINO REMOTO EMERGENCIAL: UM ESTUDO DE CASO NO CEFET-RJ
Camila Machado Brandão Santos, Leydervan de Souza Xavier
(2023)
Open Access

An Artificial Intelligence Enabled Model to Minimize Corona Virus Variant Infection Spreading
Dipti Dash, Isham Panigrahi, Prasant Kumar Pattnaik
Lecture notes in networks and systems (2023), pp. 73-86
Closed Access

Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2): What Can Africa Learn from Ongoing Research in Epidemiology, Clinical Manifestations, Chemotherapy and Prevention?
Silas Lendzele Sevidzem, Aubin Armel Koumba, Christophe Roland Zinga Koumba, et al.
Asian Journal of Medicine and Health (2020), pp. 17-27
Open Access

Predicting Covid-19 by Referring Three Supervised ML Algorithms: A Comparative Study using WEKA
Kajal Kansal, Seema Maitrey
2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC) (2022), pp. 649-655
Closed Access

An operationally implementable model for predicting the effects of an infectious disease on a comprehensive regional healthcare system
Daniel L. Chertok, Chad Konchak, Nirav Shah, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access

Prediction of COVID-19 Cases in Afghanistan Using ARIMA model
Mujtaba Haidari
Research Square (Research Square) (2021)
Open Access

Prediction of COVID-19 Cases in Afghanistan Using ARIMA model
Mujtaba Haidari
Research Square (Research Square) (2021)
Open Access

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