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:

The Benefits of Bagging for Forecast Models of Realized Volatility
Eric Hillebrand, Marcelo C. Medeiros
Econometric Reviews (2010) Vol. 29, Iss. 5-6, pp. 571-593
Closed Access | Times Cited: 93

Showing 26-50 of 93 citing articles:

A comparison of AdaBoost algorithms for time series forecast combination
Devon K. Barrow, Sven F. Crone
International Journal of Forecasting (2016) Vol. 32, Iss. 4, pp. 1103-1119
Open Access | Times Cited: 73

Cross-validation aggregation for combining autoregressive neural network forecasts
Devon K. Barrow, Sven F. Crone
International Journal of Forecasting (2016) Vol. 32, Iss. 4, pp. 1120-1137
Open Access | Times Cited: 65

Compressive Strength Estimation of Geopolymer Composites through Novel Computational Approaches
Muhammad Nasir Amin, Kaffayatullah Khan, Waqas Ahmad, et al.
Polymers (2022) Vol. 14, Iss. 10, pp. 2128-2128
Open Access | Times Cited: 36

Assessment of Artificial Intelligence Strategies to Estimate the Strength of Geopolymer Composites and Influence of Input Parameters
Kaffayatullah Khan, Waqas Ahmad, Muhammad Nasir Amin, et al.
Polymers (2022) Vol. 14, Iss. 12, pp. 2509-2509
Open Access | Times Cited: 34

Sustainable use of waste eggshells in cementitious materials: An experimental and modeling-based study
Fahad Alsharari, Kaffayatullah Khan, Muhammad Nasir Amin, et al.
Case Studies in Construction Materials (2022) Vol. 17, pp. e01620-e01620
Open Access | Times Cited: 33

Sustainable strategy of eggshell waste usage in cementitious composites: An integral testing and computational study for compressive behavior in aggressive environment
Nanlan Wang, Zhengjun Xia, Muhammad Nasir Amin, et al.
Construction and Building Materials (2023) Vol. 386, pp. 131536-131536
Closed Access | Times Cited: 19

Estimating Stock Market Betas via Machine Learning
Wolfgang Drobetz, Fabian Hollstein, Tizian Otto, et al.
Journal of Financial and Quantitative Analysis (2024), pp. 1-37
Closed Access | Times Cited: 7

Bagging in Tourism Demand Modeling and Forecasting
George Athanasopoulos, Haiyan Song, Jonathan A. Sun
Journal of Travel Research (2017) Vol. 57, Iss. 1, pp. 52-68
Open Access | Times Cited: 60

Improving time series forecasting: An approach combining bootstrap aggregation, clusters and exponential smoothing
Tiago Mendes Dantas, Fernando Luiz Cyrino Oliveira
International Journal of Forecasting (2018) Vol. 34, Iss. 4, pp. 748-761
Closed Access | Times Cited: 57

Application of Ensemble Machine Learning Methods to Estimate the Compressive Strength of Fiber-Reinforced Nano-Silica Modified Concrete
M. Reshma Anjum, Kaffayatullah Khan, Waqas Ahmad, et al.
Polymers (2022) Vol. 14, Iss. 18, pp. 3906-3906
Open Access | Times Cited: 27

Topological tail dependence: Evidence from forecasting realized volatility
Hugo Gobato Souto
The Journal of Finance and Data Science (2023) Vol. 9, pp. 100107-100107
Open Access | Times Cited: 14

The Macroeconomy as a Random Forest
Philippe Goulet Coulombe
SSRN Electronic Journal (2020)
Open Access | Times Cited: 37

Realized volatility forecast of agricultural futures using the HAR models with bagging and combination approaches
Ke Yang, Fengping Tian, Langnan Chen, et al.
International Review of Economics & Finance (2017) Vol. 49, pp. 276-291
Closed Access | Times Cited: 38

Evaluating the compressive strength of glass powder-based cement mortar subjected to the acidic environment using testing and modeling approaches
Majdi Ameen Alfaiad, Kaffayatullah Khan, Waqas Ahmad, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0284761-e0284761
Open Access | Times Cited: 10

Ensemble time series models for stock price prediction and portfolio optimization with sentiment analysis
M. Lakshmi Narayana, Arundhati J Kartha, Animesh Mandal, et al.
Journal of Intelligent Information Systems (2025)
Closed Access

Financial risk management innovation in global commodity futures markets: A macroeconomic attention perspective
Xinjie Lu, Feng Ma, Qiang Guo, et al.
Pacific-Basin Finance Journal (2025), pp. 102800-102800
Closed Access

Modeling tick-by-tick realized correlations
Francesco Audrino, Fulvio Corsi
Computational Statistics & Data Analysis (2009) Vol. 54, Iss. 11, pp. 2372-2382
Open Access | Times Cited: 43

Forecasting Volatility Using High-Frequency Data
Peter Reinhard Hansen, Asger Lunde
Oxford University Press eBooks (2012), pp. 525-556
Closed Access | Times Cited: 36

Forecasting: theory and practice
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 27

Bagging weak predictors
Eric Hillebrand, Manuel Lukas, Wei Wei
International Journal of Forecasting (2020) Vol. 37, Iss. 1, pp. 237-254
Open Access | Times Cited: 27

Machine Learning for Realised Volatility Forecasting
Eghbal Rahimikia, Ser‐Huang Poon
SSRN Electronic Journal (2020)
Closed Access | Times Cited: 26

Sustainable alternate binding material for concrete using waste materials: A testing and computational study for the strength evaluation
Suleman Ayub Khan, Mohammad Adeel Khan, Muhammad Nasir Amin, et al.
Journal of Building Engineering (2023) Vol. 80, pp. 107932-107932
Closed Access | Times Cited: 8

Forecasting realized volatility: Does anything beat linear models?
Rafael R. Branco, Alexandre Rubesam, Mauricio Zevallos
Journal of Empirical Finance (2024) Vol. 78, pp. 101524-101524
Closed Access | Times Cited: 3

Scroll to top