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:

Real-time density nowcasts of US inflation: A model combination approach
Edward S. Knotek, Saeed Zaman
International Journal of Forecasting (2022) Vol. 39, Iss. 4, pp. 1736-1760
Open Access | Times Cited: 7

Showing 7 citing articles:

PREDICTIVE DENSITY COMBINATION USING BAYESIAN MACHINE LEARNING
Tony Chernis, Niko Hauzenberger, Florian Huber, et al.
International Economic Review (2025)
Open Access

Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis
Tony Chernis
Studies in Nonlinear Dynamics and Econometrics (2023) Vol. 28, Iss. 2, pp. 293-317
Open Access | Times Cited: 3

A real-time assessment of inflation nowcasting at the Cleveland Fed
Edward S. Knotek, Saeed Zaman
Economic Commentary (Federal Reserve Bank of Cleveland) (2023), Iss. 2023-06
Open Access | Times Cited: 2

Nowcasting Inflation
Edward S. Knotek, Saeed Zaman
Working paper (2024)
Open Access

FNNGM: A neural-driven fractional-derivative multivariate fusion model for interpretable real-time CPI forecasts
Song Ding, Zhijian Cai, Yanzu Wu, et al.
Knowledge-Based Systems (2024), pp. 112591-112591
Closed Access

Predictive Density Combination Using a Tree-Based Synthesis Function
Tony Chernis, Niko Hauzenberger, Florian Huber, et al.
Working paper (2023)
Open Access

Predictive Density Combination Using a Tree-Based Synthesis Function
Tony Chernis, Niko Hauzenberger, Florian Huber, et al.
SSRN Electronic Journal (2023)
Open Access

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