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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:

Characterizing Complexity and Self-Similarity Based on Fractal and Entropy Analyses for Stock Market Forecast Modelling
Yeliz Karaca, Yudong Zhang, Khan Muhammad
Expert Systems with Applications (2019) Vol. 144, pp. 113098-113098
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Constructing a stock-price forecast CNN model with gold and crude oil indicators
Yuchen Chen, Wen-Chen Huang
Applied Soft Computing (2021) Vol. 112, pp. 107760-107760
Closed Access | Times Cited: 79
Renyi entropy and mutual information measurement of market expectations and investor fear during the COVID-19 pandemic
Salim Lahmiri, Stelios Bekiros
Chaos Solitons & Fractals (2020) Vol. 139, pp. 110084-110084
Open Access | Times Cited: 58
Artificial Intelligence for Forecasting the Prevalence of COVID-19 Pandemic: An Overview
Ammar H. Elsheikh, Amal I. Saba, Hitesh Panchal, et al.
Healthcare (2021) Vol. 9, Iss. 12, pp. 1614-1614
Open Access | Times Cited: 46
Forecasting the overnight return direction of stock market index combining global market indices: A multiple-branch deep learning approach
Ruize Gao, Xin Zhang, Hongwu Zhang, et al.
Expert Systems with Applications (2022) Vol. 194, pp. 116506-116506
Closed Access | Times Cited: 33
Seeing is believing: Forecasting crude oil price trend from the perspective of images
Xiaohang Ren, Wenting Jiang, Qiang Ji, et al.
Journal of Forecasting (2024) Vol. 43, Iss. 7, pp. 2809-2821
Closed Access | Times Cited: 8
A fractal interpolation approach to improve neural network predictions for difficult time series data
Sebastian Raubitzek, Thomas Neubauer
Expert Systems with Applications (2020) Vol. 169, pp. 114474-114474
Closed Access | Times Cited: 44
EXPLAINABILITY OF NEURAL NETWORK CLUSTERING IN INTERPRETING THE COVID-19 EMERGENCY DATA
Zhenhua Yu, Ayesha Sohail, Taher A. Nofal, et al.
Fractals (2021) Vol. 30, Iss. 05
Open Access | Times Cited: 38
A NOVEL R/S FRACTAL ANALYSIS AND WAVELET ENTROPY CHARACTERIZATION APPROACH FOR ROBUST FORECASTING BASED ON SELF-SIMILAR TIME SERIES MODELING
Yeliz Karaca, Dumitru Băleanu
Fractals (2020) Vol. 28, Iss. 08, pp. 2040032-2040032
Open Access | Times Cited: 36
Deep learning reconstruction of pressure fluctuations in supersonic shock–boundary layer interaction
Konstantinos Poulinakis, Dimitris Drikakis, Ioannis W. Kokkinakis, et al.
Physics of Fluids (2023) Vol. 35, Iss. 7
Open Access | Times Cited: 11
LSTM Reconstruction of Turbulent Pressure Fluctuation Signals
Konstantinos Poulinakis, Dimitris Drikakis, Ioannis W. Kokkinakis, et al.
Computation (2024) Vol. 12, Iss. 1, pp. 4-4
Open Access | Times Cited: 4
Potentials and limitations of complexity research for environmental sciences and modern farming applications
Kevin Mallinger, Sebastian Raubitzek, Thomas Neubauer, et al.
Current Opinion in Environmental Sustainability (2024) Vol. 67, pp. 101429-101429
Closed Access | Times Cited: 4
Combining Measures of Signal Complexity and Machine Learning for Time Series Analyis: A Review
Sebastian Raubitzek, Thomas Neubauer
Entropy (2021) Vol. 23, Iss. 12, pp. 1672-1672
Open Access | Times Cited: 24
Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework
Ruize Gao, Shaoze Cui, Yu Wang, et al.
Financial Innovation (2025) Vol. 11, Iss. 1
Open Access
A Systematic Review of Artificial Intelligence Models Applied to Prediction in Stock Market
Otman Hijazi, Kawtar Tikito, Khadija Ouazzani-Touhami
Advances in Science, Technology & Innovation/Advances in science, technology & innovation (2025), pp. 265-271
Closed Access
A comparative study of hybrid and individual models for predicting the Moroccan MASI index: Integrating machine learning and deep learning approaches
Hamza Kadiri, Hassan Oukhouya, Khalid Belkhoutout
Scientific African (2025), pp. e02671-e02671
Open Access
Information dissemination and phase transition in fractal social networks
Li Luo, Fuzhong Nian, Fangfang Li, et al.
Communications in Nonlinear Science and Numerical Simulation (2025), pp. 108812-108812
Closed Access
Information sharing among cryptocurrencies: Evidence from mutual information and approximate entropy during COVID-19
Ata Assaf, Husni Charif, Ender Demir
Finance research letters (2021) Vol. 47, pp. 102556-102556
Open Access | Times Cited: 21
An Exploratory Study on the Complexity and Machine Learning Predictability of Stock Market Data
Sebastian Raubitzek, Thomas Neubauer
Entropy (2022) Vol. 24, Iss. 3, pp. 332-332
Open Access | Times Cited: 15
Multi-chaos, fractal and multi-fractional AI in different complex systems
Yeliz Karaca
Elsevier eBooks (2022), pp. 21-54
Closed Access | Times Cited: 14
How does node centrality in a financial network affect asset price prediction?
Yuhong Xu, Xinyao Zhao
The North American Journal of Economics and Finance (2024) Vol. 73, pp. 102163-102163
Closed Access | Times Cited: 2
Improved prediction of global gold prices: An innovative Hurst-reconfiguration-based machine learning approach
Mo Yang, Ruotong Wang, Zichun Zeng, et al.
Resources Policy (2023) Vol. 88, pp. 104430-104430
Closed Access | Times Cited: 6
Modeling and Forecasting of Innovative, Scientific and Technical Activity Indicators Under Unstable Economic Situation in the Country: Case of Ukraine
Lіubov Halkiv, Оleh Karyy, Ihor Kulyniak, et al.
Communications in computer and information science (2020), pp. 79-97
Closed Access | Times Cited: 16
Scaling Exponents of Time Series Data: A Machine Learning Approach
Sebastian Raubitzek, Luiza Corpaci, Kevin Mallinger, et al.
(2023)
Open Access | Times Cited: 5
Expecting the Unexpected: Entropy and Multifractal Systems in Finance
Giuseppe Orlando, Marek Lampart
Entropy (2023) Vol. 25, Iss. 11, pp. 1527-1527
Open Access | Times Cited: 5
Scaling Exponents of Time Series Data: A Machine Learning Approach
Sebastian Raubitzek, Luiza Corpaci, Rebecca Hofer, et al.
Entropy (2023) Vol. 25, Iss. 12, pp. 1671-1671
Open Access | Times Cited: 5
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