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:

Adaptive market hypothesis and evolving predictability of bitcoin
Sashikanta Khuntia, J. K. Pattanayak
Economics Letters (2018) Vol. 167, pp. 26-28
Closed Access | Times Cited: 240

Showing 1-25 of 240 citing articles:

Cryptocurrencies as a financial asset: A systematic analysis
Shaen Corbet, Brian M. Lucey, Andrew Urquhart, et al.
International Review of Financial Analysis (2018) Vol. 62, pp. 182-199
Open Access | Times Cited: 914

Does twitter predict Bitcoin?
Dehua Shen, Andrew Urquhart, Pengfei Wang
Economics Letters (2018) Vol. 174, pp. 118-122
Open Access | Times Cited: 328

Cryptocurrency trading: a comprehensive survey
Fan Fang, Carmine Ventre, Michail Basios, et al.
Financial Innovation (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 282

Is non-fungible token pricing driven by cryptocurrencies?
Michael Dowling
Finance research letters (2021) Vol. 44, pp. 102097-102097
Open Access | Times Cited: 271

Return and volatility spillovers among cryptocurrencies
Dimitrios Koutmos
Economics Letters (2018) Vol. 173, pp. 122-127
Closed Access | Times Cited: 265

Long- and Short-Term Cryptocurrency Volatility Components: A GARCH-MIDAS Analysis
Christian Conrad, Anessa Custovic, Éric Ghysels
Journal of risk and financial management (2018) Vol. 11, Iss. 2, pp. 23-23
Open Access | Times Cited: 236

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

Fertile LAND: Pricing non-fungible tokens
Michael Dowling
Finance research letters (2021) Vol. 44, pp. 102096-102096
Open Access | Times Cited: 188

Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions
Ankit Thakkar, Kinjal Chaudhari
Information Fusion (2020) Vol. 65, pp. 95-107
Open Access | Times Cited: 174

Impact of COVID-19 on stock market efficiency: Evidence from developed countries
Oktay Ӧzkan
Research in International Business and Finance (2021) Vol. 58, pp. 101445-101445
Open Access | Times Cited: 139

Short-term bitcoin market prediction via machine learning
Patrick Jaquart, David Dann, Christof Weinhardt
The Journal of Finance and Data Science (2021) Vol. 7, pp. 45-66
Open Access | Times Cited: 123

On the efficiency and its drivers in the cryptocurrency market: the case of Bitcoin and Ethereum
Khaled Mokni, Ghassen El Montasser, Ahdi Noomen Ajmi, et al.
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 18

Is Bitcoin a Commodity? On price jumps, demand shocks, and certainty of supply
Marc Gronwald
Journal of International Money and Finance (2019) Vol. 97, pp. 86-92
Open Access | Times Cited: 141

The effects of markets, uncertainty and search intensity on bitcoin returns
Theodore Panagiotidis, Thanasis Stengos, Orestis Vravosinos
International Review of Financial Analysis (2018) Vol. 63, pp. 220-242
Closed Access | Times Cited: 137

Cryptocurrencies and momentum
Klaus Grobys, Niranjan Sapkota
Economics Letters (2019) Vol. 180, pp. 6-10
Open Access | Times Cited: 115

The adaptive market hypothesis in the high frequency cryptocurrency market
Jeffrey Chu, Yuanyuan Zhang, Stephen Chan
International Review of Financial Analysis (2019) Vol. 64, pp. 221-231
Closed Access | Times Cited: 111

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

Optimal vs naïve diversification in cryptocurrencies
Emmanouil Platanakis, Charles Sutcliffe, Andrew Urquhart
Economics Letters (2018) Vol. 171, pp. 93-96
Open Access | Times Cited: 103

Big-Crypto: Big Data, Blockchain and Cryptocurrency
Hossein Hassani, Xu Huang, Emmanuel Sirimal Silva
Big Data and Cognitive Computing (2018) Vol. 2, Iss. 4, pp. 34-34
Open Access | Times Cited: 97

Does the introduction of futures improve the efficiency of Bitcoin?
Gerrit Köchling, Janis Müller, Peter N. Posch
Finance research letters (2018) Vol. 30, pp. 367-370
Closed Access | Times Cited: 87

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: 87

Technical trading rules in the cryptocurrency market
Klaus Grobys, Shaker Ahmed, Niranjan Sapkota
Finance research letters (2019) Vol. 32, pp. 101396-101396
Open Access | Times Cited: 80

Time and frequency connectedness and portfolio diversification between cryptocurrencies and renewable energy stock markets during COVID-19
Zijian Li, Qiaoyu Meng
The North American Journal of Economics and Finance (2021) Vol. 59, pp. 101565-101565
Closed Access | Times Cited: 79

Policy uncertainty and Bitcoin returns
Imlak Shaikh
Borsa Istanbul Review (2020) Vol. 20, Iss. 3, pp. 257-268
Open Access | Times Cited: 72

Knowledge diffusion paths of blockchain domain: the main path analysis
Dejian Yu, Libo Sheng
Scientometrics (2020) Vol. 125, Iss. 1, pp. 471-497
Closed Access | Times Cited: 72

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