OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A Neural Phillips Curve and a Deep Output Gap
Philippe Goulet Coulombe
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 8

Showing 8 citing articles:

Forecasting UK inflation bottom up
Andreas Joseph, Galina Potjagailo, Chiranjit Chakraborty, et al.
International Journal of Forecasting (2024) Vol. 40, Iss. 4, pp. 1521-1538
Closed Access | Times Cited: 7

Time-varying parameters as ridge regressions
Philippe Goulet Coulombe
International Journal of Forecasting (2025)
Closed Access

Predicting inflation with recurrent neural networks
Livia Paranhos
International Journal of Forecasting (2025)
Closed Access


Daniele Bianchi, Giulio Caperna, Todd E. Clark, et al.
(2024) Vol. 2022, Iss. 16b
Open Access | Times Cited: 1

From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks
Philippe Goulet Coulombe, Mikael Frenette, Karin Klieber
SSRN Electronic Journal (2023)
Open Access | Times Cited: 3

Maximally Machine-Learnable Portfolios
Philippe Goulet Coulombe, Maximilian Göbel
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 2

A deep learning approach to estimation of the Phillips curve in South Africa
Gideon du Rand, Hylton Hollander, Dawie van Lill
Working Paper Series (2023)
Open Access | Times Cited: 2

A Verifiable Estimation and Parametric Inference of the Nonlinear Phillips Curve Using Neural Networks
Luigi Longo, Mohammad Soltanieh-ha
SSRN Electronic Journal (2023)
Closed Access


Daniele Bianchi, Giulio Caperna, Todd E. Clark, et al.
(2022) Vol. 2022, Iss. 16
Open Access

Page 1

Scroll to top