Open Access Helper

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:

Covariance matrix forecasting using support vector regression
Piotr Fiszeder, Witold Orzeszko
Applied Intelligence (2021) Vol. 51, Iss. 10, pp. 7029-7042
Open Access | Times Cited: 17

Showing 17 citing articles:

A study on friction induced tribological characteristics of steel 316 L against 100 cr6 alloy under different lubricating conditions with machine learning model
Munish Kumar Gupta, Mehmet Erdi Korkmaz, Aleksander Karolczuk, et al.
Tribology International (2024) Vol. 195, pp. 109599-109599
Closed Access | Times Cited: 10
Application of machine learning in algorithmic investment strategies on global stock markets
Jan Grudniewicz, Robert Ślepaczuk
Research in International Business and Finance (2023) Vol. 66, pp. 102052-102052
Open Access | Times Cited: 20
Forecasting cryptocurrencies volatility using statistical and machine learning methods: A comparative study
Grzegorz Dudek, Piotr Fiszeder, Paweł Kobus, et al.
Applied Soft Computing (2023) Vol. 151, pp. 111132-111132
Open Access | Times Cited: 19
Prediction of Covid-19 confirmed cases and deaths using hybrid support vector machine-Taguchi method
Seda Hatice Gökler
Computers & Industrial Engineering (2024) Vol. 191, pp. 110103-110103
Closed Access | Times Cited: 8
Artificial intelligence and customers’ intention to use robo-advisory in banking services
Dariusz Piotrowski, Witold Orzeszko
Equilibrium Quarterly Journal of Economics and Economic Policy (2023) Vol. 18, Iss. 4, pp. 967-1007
Open Access | Times Cited: 12
Nonlinear Causality between Crude Oil Prices and Exchange Rates: Evidence and Forecasting
Witold Orzeszko
Energies (2021) Vol. 14, Iss. 19, pp. 6043-6043
Open Access | Times Cited: 15
Federated Learning-Based Joint Radar-Communication mmWave Beamtracking with Imperfect CSI for V2X Communications
Sanjay Bhardwaj, Dong‐Seong Kim
(2023), pp. 201-206
Closed Access | Times Cited: 3
Forecasting currency covariances using machine learning tree-based algorithms with low and high prices
Sylwester Bejger, Piotr Fiszeder
Przegląd Statystyczny Statistical Review (2021) Vol. 68, Iss. 3, pp. 1-15
Open Access | Times Cited: 6
Estimation of Yu and Meyer bivariate stochastic volatility model by iterated filtering
Piotr Szczepocki
Przegląd Statystyczny Statistical Review (2023) Vol. 2022, Iss. 4, pp. 1-19
Open Access | Times Cited: 1
On the empirical performance of different covariance-matrix forecasting methods
Rafael Torres, Marcelo Villena
Neural Computing and Applications (2024) Vol. 36, Iss. 16, pp. 9503-9524
Closed Access
Accelerated Fatigue Test for Electric Vehicle Reducer Based on the SVR–FDS Method
Yudong Wu, Zhanhao Cui, Yan Wang, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5359-5359
Open Access
Graph-Based Methods for Forecasting Realized Covariances
Chao Zhang, Xingyue Pu, Mihai Cucuringu, et al.
Journal of Financial Econometrics (2024)
Open Access
Comparative Analysis of Tillage Indices and Machine Learning Algorithms for Maize Residue Cover Prediction
Jian Li, Kewen Shao, Jia Du, et al.
Remote Sensing (2024) Vol. 17, Iss. 1, pp. 105-105
Open Access
Segmented Learning Architecture Model for Analytical Tax Revenue Forecasting Based on Electronic Invoice Information
Alisson Emanuel Goes Mendonça, Luciano Coutinho, Francisco Silva
(2023)
Closed Access

Piotr Szczepocki, Andrzej Tomski, Barbara Gorzawska, et al.
Przegląd Statystyczny Statistical Review (2023) Vol. 2022, Iss. 4
Open Access
Forecasting the High-Frequency Covariance Matrix Using the Lstm-Mf Model
Guangying Liu, Kewen Shi, Meng Yuan
(2023)
Closed Access
Estimation of the Cholesky Multivariate Stochastic Volatility Model Using Iterated Filtering
Piotr Szczepocki
Econometrics (2023) Vol. 27, Iss. 4, pp. 44-58
Open Access
Page 1

Scroll to top