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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:

Clustering patterns in efficiency and the coming-of-age of the cryptocurrency market
Higor Y. D. Sigaki, Matjaž Perc, Haroldo V. Ribeiro
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

Cryptocurrency trading: a comprehensive survey
Fan Fang, Carmine Ventre, Michail Basios, et al.
Financial Innovation (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 286
Sentiment-Based Prediction of Alternative Cryptocurrency Price Fluctuations Using Gradient Boosting Tree Model
Tianyu Ray Li, Anup S. Chamrajnagar, Xander R. Fong, et al.
Frontiers in Physics (2019) Vol. 7
Open Access | Times Cited: 111
Time-frequency co-movement of cryptocurrency return and volatility: Evidence from wavelet coherence analysis
Xingzhi Qiao, Huiming Zhu, Liya Hau
International Review of Financial Analysis (2020) Vol. 71, pp. 101541-101541
Closed Access | Times Cited: 86
Knowledge Discovery in Cryptocurrency Transactions: A Survey
Xiao Fan Liu, Xin-Jian Jiang, Si-Hao Liu, et al.
IEEE Access (2021) Vol. 9, pp. 37229-37254
Open Access | Times Cited: 75
The resilience of cryptocurrency market efficiency to COVID-19 shock
LEONARDO H. S. FERNANDES, Elie Bouri, JOSÉ W. L. SILVA, et al.
Physica A Statistical Mechanics and its Applications (2022) Vol. 607, pp. 128218-128218
Open Access | Times Cited: 60
Ordinal patterns-based methodologies for distinguishing chaos from noise in discrete time series
Massimiliano Zanin, Felipe Olivares
Communications Physics (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 56
The transaction behavior of cryptocurrency and electricity consumption
Mingbo Zheng, Gen‐Fu Feng, Xinxin Zhao, et al.
Financial Innovation (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 36
Age and market capitalization drive large price variations of cryptocurrencies
Arthur A. B. Pessa, Matjaž Perc, Haroldo V. Ribeiro
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 25
Machine learning approaches to forecasting cryptocurrency volatility: Considering internal and external determinants
Yijun Wang, Galina Andreeva, Belén Martín-Barragán
International Review of Financial Analysis (2023) Vol. 90, pp. 102914-102914
Open Access | Times Cited: 25
DCCA and DMCA correlations of cryptocurrency markets
Paulo Ferreira, Ladislav Krištoufek, Éder Johnson de Area Leão Pereira
Physica A Statistical Mechanics and its Applications (2019) Vol. 545, pp. 123803-123803
Closed Access | Times Cited: 60
A Labeling Method for Financial Time Series Prediction Based on Trends
Dingming Wu, Xiaolong Wang, Jingyong Su, et al.
Entropy (2020) Vol. 22, Iss. 10, pp. 1162-1162
Open Access | Times Cited: 56
Analysis of the cryptocurrency market using different prototype-based clustering techniques
Luis Lorenzo, Javier Arroyo
Financial Innovation (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 30
On financial market correlation structures and diversification benefits across and within equity sectors
Nick James, Max Menzies, Georg A. Gottwald
Physica A Statistical Mechanics and its Applications (2022) Vol. 604, pp. 127682-127682
Open Access | Times Cited: 29
Economic state classification and portfolio optimisation with application to stagflationary environments
Nick James, Max Menzies, Kevin Chin
Chaos Solitons & Fractals (2022) Vol. 164, pp. 112664-112664
Open Access | Times Cited: 28
Collective Dynamics, Diversification and Optimal Portfolio Construction for Cryptocurrencies
Nick James, Max Menzies
Entropy (2023) Vol. 25, Iss. 6, pp. 931-931
Open Access | Times Cited: 17
Collective dynamics of stock market efficiency
Luiz G. A. Alves, Higor Y. D. Sigaki, Matjaž Perc, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 41
Market efficiency of cryptocurrency: evidence from the Bitcoin market
Eojin Yi, Biao Yang, Minhyuk Jeong, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15
Geometric persistence and distributional trends in worldwide terrorism
Nick James, Max Menzies, James Chok, et al.
Chaos Solitons & Fractals (2023) Vol. 169, pp. 113277-113277
Open Access | Times Cited: 13
Volatility and returns connectedness in cryptocurrency markets: Insights from graph-based methods
An Pham Ngoc Nguyen, Tai Tan, Marija Bezbradica, et al.
Physica A Statistical Mechanics and its Applications (2023) Vol. 632, pp. 129349-129349
Open Access | Times Cited: 13
Cryptocurrency co-investment network: token returns reflect investment patterns
Luca Mungo, Silvia Bartolucci, Laura Alessandretti
EPJ Data Science (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Baidu News and the return volatility of Chinese commodity futures: evidence for the sequential information arrival hypothesis
Ruwei Zhao, Xiong Xiong, Junjun Ma, et al.
Financial Innovation (2025) Vol. 11, Iss. 1
Open Access
Detecting imbalanced financial markets through time-varying optimization and nonlinear functionals
Nick James, Max Menzies
Physica D Nonlinear Phenomena (2025), pp. 134571-134571
Open Access
The battle of informational efficiency: Cryptocurrencies vs. classical assets
LEONARDO H. S. FERNANDES, José R.A. Figueirôa, Caleb M.F. Martins, et al.
Physica A Statistical Mechanics and its Applications (2025), pp. 130427-130427
Closed Access
News and subjective beliefs: A Bayesian approach to Bitcoin investments
Andrea Flori
Research in International Business and Finance (2019) Vol. 50, pp. 336-356
Closed Access | Times Cited: 39
Market efficiency and volatility persistence of cryptocurrency during pre‐ and post‐crash periods of Bitcoin: Evidence based on fractional integration
OlaOluwa S. Yaya, Ahamuefula E. Ogbonna, Robert Mudida, et al.
International Journal of Finance & Economics (2020) Vol. 26, Iss. 1, pp. 1318-1335
Closed Access | Times Cited: 35
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