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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:

Machine Learning Time Series Regressions With an Application to Nowcasting
Andrii Babii, Éric Ghysels, Jonas Striaukas
Journal of Business and Economic Statistics (2021) Vol. 40, Iss. 3, pp. 1094-1106
Open Access | Times Cited: 110

Showing 1-25 of 110 citing articles:

Machine learning advances for time series forecasting
Ricardo Masini, Marcelo C. Medeiros, Eduardo Mendes
Journal of Economic Surveys (2021) Vol. 37, Iss. 1, pp. 76-111
Open Access | Times Cited: 254
Nowcasting Norwegian household consumption with debit card transaction data
Knut Are Aastveit, Tuva Marie Fastbø, Eleonora Granziera, et al.
Journal of Applied Econometrics (2024) Vol. 39, Iss. 7, pp. 1220-1244
Open Access | Times Cited: 11
On LASSO for high dimensional predictive regression
Ziwei Mei, Zhentao Shi
Journal of Econometrics (2024) Vol. 242, Iss. 2, pp. 105809-105809
Open Access | Times Cited: 8
Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning
Gabriel Spadon, Shenda Hong, Bruno Brandoli Machado, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 44, Iss. 9, pp. 5368-5384
Open Access | Times Cited: 52
Real-Time Forecasting with a (Standard) Mixed-Frequency VAR During a Pandemic
Frank Schorfheide, Dongho Song
Working paper (2020)
Open Access | Times Cited: 43
Nowcasting world GDP growth with high‐frequency data
Caroline Jardet, Baptiste Meunier
Journal of Forecasting (2022) Vol. 41, Iss. 6, pp. 1181-1200
Open Access | Times Cited: 27
Forecasting Value-at-Risk Using Deep Neural Network Quantile Regression
Ilias Chronopoulos, Aristeidis Raftapostolos, George Kapetanios
Journal of Financial Econometrics (2023) Vol. 22, Iss. 3, pp. 636-669
Open Access | Times Cited: 16
Nowcasting Euro area GDP with news sentiment: A tale of two crises
Julian Ashwin, Eleni Kalamara, Lorena Sáiz
Journal of Applied Econometrics (2024) Vol. 39, Iss. 5, pp. 887-905
Open Access | Times Cited: 5
Forecasting Inflation Using Economic Narratives
Yongmiao Hong, Fuwei Jiang, Lingchao Meng, et al.
Journal of Business and Economic Statistics (2024), pp. 1-16
Open Access | Times Cited: 5
A neural network ensemble approach for GDP forecasting
Luigi Longo, Massimo Riccaboni, Armando Rungi
Journal of Economic Dynamics and Control (2021) Vol. 134, pp. 104278-104278
Open Access | Times Cited: 31
Testing big data in a big crisis: Nowcasting under Covid-19
Luca Barbaglia, Lorenzo Frattarolo, Luca Onorante, et al.
International Journal of Forecasting (2022) Vol. 39, Iss. 4, pp. 1548-1563
Open Access | Times Cited: 19
Nowcasting Chinese GDP in a data-rich environment: Lessons from machine learning algorithms
Qin Zhang, Ni He, Xu Hao
Economic Modelling (2023) Vol. 122, pp. 106204-106204
Closed Access | Times Cited: 11
Words or numbers? Macroeconomic nowcasting with textual and macroeconomic data
Tingguo Zheng, X. Fan, Wei Jin, et al.
International Journal of Forecasting (2023) Vol. 40, Iss. 2, pp. 746-761
Closed Access | Times Cited: 11
Future directions in nowcasting economic activity: A systematic literature review
Alina Stundžienė, Vaida Pilinkienė, Jurgita Bruneckienė, et al.
Journal of Economic Surveys (2023) Vol. 38, Iss. 4, pp. 1199-1233
Closed Access | Times Cited: 11
Improvement of motor imagery electroencephalogram decoding by iterative weighted Sparse-Group Lasso
Bin Lu, Fuwang Wang, Shiwei Wang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122286-122286
Closed Access | Times Cited: 11
Forecasting oil futures returns with news
Zhiyuan Pan, Hao Zhong, Yudong Wang, et al.
Energy Economics (2024) Vol. 134, pp. 107606-107606
Closed Access | Times Cited: 4
A review of regularised estimation methods and cross-validation in spatiotemporal statistics
Philipp Otto, Alessandro Fassò, Paolo Maranzano
Statistics Surveys (2024) Vol. 18, Iss. none
Open Access | Times Cited: 4
Macroeconomic nowcasting (st)ability. Evidence from vintages of time-series data
Elżbieta Jowik, Agnieszka Jastrzębska, Gonzalo Nápoles
Expert Systems with Applications (2025), pp. 126307-126307
Closed Access
Nonlinear forecasting with many predictors using mixed data sampling kernel ridge regression models
Deliang Dai, Farrukh Javed, Peter S. Karlsson, et al.
Annals of Operations Research (2025)
Open Access
Flexible Bayesian MIDAS: time-variation, group-shrinkage and sparsity*
David Kohns, Galina Potjagailo
Journal of Business and Economic Statistics (2025), pp. 1-28
Open Access
Hierarchical Regularizers for Reverse Unrestricted Mixed Data Sampling Regressions
Alain Hecq, Marie Ternes, Ines Wilms
Journal of Forecasting (2025)
Open Access
High-dimensional mixed data sampling models with a covariate-dependent threshold
Lixiong Yang, Louie Ren, Yi-Ning Ye
Econometric Reviews (2025), pp. 1-41
Closed Access
High-Dimensional Granger Causality Tests with an Application to VIX and News
Andrii Babii, Éric Ghysels, Jonas Striaukas
Journal of Financial Econometrics (2022) Vol. 22, Iss. 3, pp. 605-635
Open Access | Times Cited: 17
Time-varying forecast combination for high-dimensional data
Bin Chen, Kenwin Maung
Journal of Econometrics (2023) Vol. 237, Iss. 2, pp. 105418-105418
Open Access | Times Cited: 9
Nowcasting Consumer Price Inflation Using High-Frequency Scanner Data: Evidence from Germany
Günter W. Beck, Kai Carstensen, Jan-Oliver Menz, et al.
SSRN Electronic Journal (2024)
Open Access | Times Cited: 3
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