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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:

Data-driven prediction of COVID-19 cases in Germany for decision making
Lukas Refisch, Fabian Lorenz, Torsten Riedlinger, et al.
BMC Medical Research Methodology (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 11

Showing 11 citing articles:

A data-driven approach to study temporal characteristics of COVID-19 infection and death Time Series for twelve countries across six continents
Sabyasachi Guharay
BMC Medical Research Methodology (2025) Vol. 25, Iss. 1
Open Access
Can the number of confirmed COVID-19 cases be predicted more accurately by including lifestyle data? An exploratory study for data-driven prediction of COVID-19 cases in metropolitan cities using deep learning models
Sungwook Jung
Digital Health (2025) Vol. 11
Open Access
Improved healthcare disaster decision-making utilizing information extraction from complementary social media data during the COVID-19 pandemic
Domenic Kellner, Maximilian Lowin, Oliver Hinz
Decision Support Systems (2023) Vol. 172, pp. 113983-113983
Open Access | Times Cited: 6
A Comparison of Different Intensive Care Unit Definitions Derived from the German Administrative Data Set: A Methodological, Real-World Data Analysis from 86 Helios Hospitals
Christina Bogdanov, Sven Hohenstein, Jörg Brederlau, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 12, pp. 3393-3393
Open Access
Non-parametric model-based estimation of the effective reproduction number for SARS-CoV-2
Jacques Hermes, Marcus Rosenblatt, Christian Tönsing, et al.
AIP conference proceedings (2023) Vol. 2872, pp. 030006-030006
Open Access | Times Cited: 1
Prognosemodelle zur Steuerung von intensivmedizinischen COVID-19-Kapazitäten in Deutschland
Marlon Grodd, Lukas Refisch, Fabian Lorenz, et al.
Medizinische Klinik - Intensivmedizin und Notfallmedizin (2022) Vol. 118, Iss. 2, pp. 125-131
Open Access | Times Cited: 1
Can infectious modeling be applicable globally: Lessons from COVID-19
Dhammika Magana-Arachchi, Rasika P. Wanigatunge, Meththika Vithanage
Current Opinion in Environmental Science & Health (2022) Vol. 30, pp. 100399-100399
Open Access | Times Cited: 1
Quantifying the role of airborne transmission in the spread of COVID-19
Matthew Hayden, Bryce Morrow, Wesley Yang, et al.
Mathematical Biosciences & Engineering (2022) Vol. 20, Iss. 1, pp. 587-612
Open Access | Times Cited: 1
Deep learning and differential equations for modeling changes in individual‐level latent dynamics between observation periods
Göran Köber, Raffaël Kalisch, Lara Puhlmann, et al.
Biometrical Journal (2023) Vol. 65, Iss. 6
Open Access
Non-Parametric Model-Based Estimation of the Effective Reproduction Number for SARS-CoV-2
Jacques Hermes, Marcus Rosenblatt, Christian Tönsing, et al.
Algorithms (2023) Vol. 16, Iss. 12, pp. 533-533
Open Access
Empirical Approach on Uncertainty Analysis of Differential Equations in Mathematical Modeling
Puneet Jai Kaur
Scholars Journal of Physics Mathematics and Statistics (2023) Vol. 10, Iss. 10, pp. 220-227
Open Access
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