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:

Bitcoin price–volume: A multifractal cross-correlation approach
Marwane El Alaoui, Elie Bouri, David Roubaud
Finance research letters (2018) Vol. 31
Closed Access | Times Cited: 101

Showing 1-25 of 101 citing articles:

Prediction of cryptocurrency returns using machine learning
Erdinç Akyıldırım, Ahmet Göncü, Ahmet Şensoy
Annals of Operations Research (2020) Vol. 297, Iss. 1-2, pp. 3-36
Closed Access | Times Cited: 191

Exogenous drivers of Bitcoin and Cryptocurrency volatility – A mixed data sampling approach to forecasting
Thomas Walther, Tony Klein, Elie Bouri
Journal of International Financial Markets Institutions and Money (2019) Vol. 63, pp. 101133-101133
Open Access | Times Cited: 149

NFTs, DeFi, and other assets efficiency and volatility dynamics: An asymmetric multifractality analysis
Mohammad Ashraful Ferdous Chowdhury, Mohammad Abdullah, Masud Alam, et al.
International Review of Financial Analysis (2023) Vol. 87, pp. 102642-102642
Open Access | Times Cited: 51

Is Bitcoin a currency, a technology-based product, or something else?
Reilly White, Yorgos Marinakis, Nazrul Islam, et al.
Technological Forecasting and Social Change (2019) Vol. 151, pp. 119877-119877
Open Access | Times Cited: 128

A Survey on Efficiency and Profitable Trading Opportunities in Cryptocurrency Markets
Νikolaos Kyriazis
Journal of risk and financial management (2019) Vol. 12, Iss. 2, pp. 67-67
Open Access | Times Cited: 106

WHERE DO WE STAND IN CRYPTOCURRENCIES ECONOMIC RESEARCH? A SURVEY BASED ON HYBRID ANALYSIS
Aurelio F. Bariviera, Ignasi Merediz‐Solà
Journal of Economic Surveys (2021) Vol. 35, Iss. 2, pp. 377-407
Open Access | Times Cited: 89

Cryptocurrencies and equity funds: Evidence from an asymmetric multifractal analysis
Werner Kristjanpoller, Elie Bouri, Tetsuya Takaishi
Physica A Statistical Mechanics and its Applications (2019) Vol. 545, pp. 123711-123711
Closed Access | Times Cited: 83

Energy Consumption and Bitcoin Market
Anh Ngoc Quang Huynh, Duy Duong, Tobias Burggraf, et al.
Asia-Pacific Financial Markets (2021) Vol. 29, Iss. 1, pp. 79-93
Closed Access | Times Cited: 77

Is Bitcoin a better portfolio diversifier than gold? A copula and sectoral analysis for China
Kim Hung Pho, Sel Ly, Richard Lu, et al.
International Review of Financial Analysis (2021) Vol. 74, pp. 101674-101674
Closed Access | Times Cited: 63

Dynamic dependence and predictability between volume and return of Non-Fungible Tokens (NFTs): The roles of market factors and geopolitical risks
Christian Urom, Gideon Ndubuisi, Khaled Guesmi
Finance research letters (2022) Vol. 50, pp. 103188-103188
Open Access | Times Cited: 47

CAN BITCOIN BE A SAFE HAVEN IN FEAR SENTIMENT?
Chi‐Wei Su, Xi Yuan, Ran Tao, et al.
Technological and Economic Development of Economy (2022) Vol. 28, Iss. 2, pp. 268-289
Open Access | Times Cited: 38

Returns and volume: Frequency connectedness in cryptocurrency markets
Panos Fousekis, Dimitra Tzaferi
Economic Modelling (2020) Vol. 95, pp. 13-20
Closed Access | Times Cited: 64

Understanding Bitcoin liquidity
Stefan Scharnowski
Finance research letters (2020) Vol. 38, pp. 101477-101477
Closed Access | Times Cited: 60

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

Does investor sentiment predict bitcoin return and volatility? A quantile regression approach
Ishanka Dias, J. M. R. Fernando, P. N. D. Fernando
International Review of Financial Analysis (2022) Vol. 84, pp. 102383-102383
Closed Access | Times Cited: 30

Multifractal cross-correlations between green bonds and financial assets
LEONARDO H. S. FERNANDES, JOSÉ W. L. SILVA, Fernando Henrique Antunes de Araujo, et al.
Finance research letters (2022) Vol. 53, pp. 103603-103603
Open Access | Times Cited: 29

An analysis of the return–volume relationship in decentralised finance (DeFi)
Jeffrey Chu, Stephen Chan, Yuanyuan Zhang
International Review of Economics & Finance (2023) Vol. 85, pp. 236-254
Closed Access | Times Cited: 19

Testing the random walk hypothesis for leading cryptocurrencies
P. Srinivasan, K K Saji Kumar, Bipasha Maity
Borsa Istanbul Review (2020) Vol. 21, Iss. 3, pp. 256-268
Open Access | Times Cited: 47

Bitcoin in the economics and finance literature: a survey
Parthajit Kayal, Purnima Rohilla
SN Business & Economics (2021) Vol. 1, Iss. 7
Open Access | Times Cited: 39

Intraday volume-return nexus in cryptocurrency markets: Novel evidence from cryptocurrency classification
Larisa Yarovaya, Damian Zięba
Research in International Business and Finance (2021) Vol. 60, pp. 101592-101592
Open Access | Times Cited: 39

Dynamic Asymmetric Causality of Bitcoin’s Price-Volume Relation
Adedeji Daniel Gbadebo
SAGE Open (2023) Vol. 13, Iss. 4
Open Access | Times Cited: 13

An Analysis of Crypto-Asset Trade, Enforcement, and Estate Planning
Sirajo Aliyu, Norazlina Abd Wahab, Nur Syaedah Kamis
Borsa Istanbul Review (2025)
Open Access

Multifractal analysis of Bitcoin price dynamics
Cristian Bucur, Bogdan-George Tudorică, Adela Bârã, et al.
Journal of Business Economics and Management (2025) Vol. 26, Iss. 1, pp. 21-48
Open Access

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