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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:

A complete empirical ensemble mode decomposition and support vector machine-based approach to predict Bitcoin prices
Divya Aggarwal, Shabana Chandrasekaran, Balamurugan Annamalai
Journal of Behavioral and Experimental Finance (2020) Vol. 27, pp. 100335-100335
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis
John W. Goodell, Satish Kumar, Weng Marc Lim, et al.
Journal of Behavioral and Experimental Finance (2021) Vol. 32, pp. 100577-100577
Closed Access | Times Cited: 480
ANN Assisted Multi Sensor Information Fusion for BLDC Motor Fault Diagnosis
Tanvir Alam Shifat, Jang-Wook Hur
IEEE Access (2021) Vol. 9, pp. 9429-9441
Open Access | Times Cited: 74
Past, present, and future of the application of machine learning in cryptocurrency research
Yi‐Shuai Ren, Chaoqun Ma, Xiaolin Kong, et al.
Research in International Business and Finance (2022) Vol. 63, pp. 101799-101799
Open Access | Times Cited: 46
Journal of Behavioral and Experimental Finance: A bibliometric overview
Satish Kumar, Sandeep Rao, Kirti Goyal, et al.
Journal of Behavioral and Experimental Finance (2022) Vol. 34, pp. 100652-100652
Open Access | Times Cited: 41
Cryptocurrency price forecasting – A comparative analysis of ensemble learning and deep learning methods
Ahmed Bouteska, Mohammad Zoynul Abedin, Petr Hájek, et al.
International Review of Financial Analysis (2023) Vol. 92, pp. 103055-103055
Open Access | Times Cited: 23
Modeling Bitcoin Prices using Signal Processing Methods, Bayesian Optimization, and Deep Neural Networks
Bhaskar Tripathi, Rakesh Kumar Sharma
Computational Economics (2022) Vol. 62, Iss. 4, pp. 1919-1945
Open Access | Times Cited: 36
Foundations and research clusters in investor attention: Evidence from bibliometric and topic modelling analysis
John W. Goodell, Satish Kumar, Xiao Li, et al.
International Review of Economics & Finance (2022) Vol. 82, pp. 511-529
Closed Access | Times Cited: 33
Centralized decomposition approach in LSTM for Bitcoin price prediction
Eunho Koo, Geonwoo Kim
Expert Systems with Applications (2023) Vol. 237, pp. 121401-121401
Closed Access | Times Cited: 16
Predicting Bitcoin (BTC) Price in the Context of Economic Theories: A Machine Learning Approach
Sahar Erfanian, Yewang Zhou, Amar Razzaq, et al.
Entropy (2022) Vol. 24, Iss. 10, pp. 1487-1487
Open Access | Times Cited: 24
Cryptocurrency research: Bibliometric review and content analysis
Manish Kumar Atree, Naliniprava Tripathy
International Review of Economics & Finance (2025), pp. 103940-103940
Open Access
Comparative Evaluation of Share Values of Five Magnificent Technology Companies with Bitcoin and Gold Prices
Meltem Keskin
Fiscaoeconomia (2025) Vol. 9, Iss. 1, pp. 583-600
Open Access
Forecasting cryptocurrency volatility: a novel framework based on the evolving multiscale graph neural network
Yang Zhou, Chi Xie, Gang‐Jin Wang, et al.
Financial Innovation (2025) Vol. 11, Iss. 1
Open Access
Deep Learning Forecasting in Cryptocurrency High-Frequency Trading
Salim Lahmiri, Stelios Bekiros
Cognitive Computation (2021) Vol. 13, Iss. 2, pp. 485-487
Open Access | Times Cited: 30
Estimating the reaction of Bitcoin prices to the uncertainty of fiat currency
Xuejun Jin, Keer Zhu, Xiaolan Yang, et al.
Research in International Business and Finance (2021) Vol. 58, pp. 101451-101451
Closed Access | Times Cited: 29
Twitter sentiment analysis and bitcoin price forecasting: implications for financial risk management
Tauqeer Saleem, Ussama Yaqub, Salma Zaman
The Journal of Risk Finance (2024) Vol. 25, Iss. 3, pp. 407-421
Closed Access | Times Cited: 4
Bitcoin Price Prediction Using Sentiment Analysis and Empirical Mode Decomposition
Serdar Arslan
Computational Economics (2024)
Open Access | Times Cited: 4
A new grey system approach to forecast closing price of Bitcoin, Bionic, Cardano, Dogecoin, Ethereum, XRP Cryptocurrencies
Pawan Kumar Singh, Alok Kumar Pandey, Srinka Bose
Quality & Quantity (2022)
Closed Access | Times Cited: 17
Empirical mode decomposition based techniques for imaging of shallow delamination in concrete using impact echo
Mahesh Yumnam, Debdutta Ghosh, Hina Gupta
Mechanical Systems and Signal Processing (2022) Vol. 184, pp. 109668-109668
Closed Access | Times Cited: 16
How well do investor sentiment and ensemble learning predict Bitcoin prices?
Petr Hájek, Lubica Hikkerova, Jean‐Michel Sahut
Research in International Business and Finance (2022) Vol. 64, pp. 101836-101836
Closed Access | Times Cited: 16
Support vector regression-based heteroscedastic models for cryptocurrency risk forecasting
Intan Muchtadi-Alamsyah, Robin Viltoriano, Ferdinand Harjono, et al.
Applied Soft Computing (2024) Vol. 162, pp. 111792-111792
Closed Access | Times Cited: 3
Forecasting Bitcoin volatility using machine learning techniques
Zih-Chun Huang, Ivan Sangiorgi, Andrew Urquhart
Journal of International Financial Markets Institutions and Money (2024) Vol. 97, pp. 102064-102064
Open Access | Times Cited: 3
International carbon financial market prediction using particle swarm optimization and support vector machine
Junhua Chen, Shufan Ma, Ying Wu
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 13, Iss. 12, pp. 5699-5713
Closed Access | Times Cited: 20
A novel cryptocurrency price time series hybrid prediction model via machine learning with MATLAB/Simulink
Lingxiao Zhao, Zhiyang Li, Yue Ma, et al.
The Journal of Supercomputing (2023) Vol. 79, Iss. 14, pp. 15358-15389
Closed Access | Times Cited: 8
Cryptocurrency market microstructure: a systematic literature review
J M de Almeida, Tiago Gonçalves
Annals of Operations Research (2023) Vol. 332, Iss. 1-3, pp. 1035-1068
Open Access | Times Cited: 7
A New Hybrid Cryptocurrency Returns Forecasting Method Based on Multiscale Decomposition and an Optimized Extreme Learning Machine Using the Sparrow Search Algorithm
Xiaoxu Du, Zhenpeng Tang, Junchuan Wu, et al.
IEEE Access (2022) Vol. 10, pp. 60397-60411
Open Access | Times Cited: 12
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