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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:

Forecasting the Price of the Cryptocurrency Using Linear and Nonlinear Error Correction Model
Jong‐Min Kim, Chanho Cho, Chulhee Jun
Journal of risk and financial management (2022) Vol. 15, Iss. 2, pp. 74-74
Open Access | Times Cited: 12

Showing 12 citing articles:

A Stacking Ensemble Deep Learning Model for Bitcoin Price Prediction Using Twitter Comments on Bitcoin
Zi Ye, Yinxu Wu, Hui Chen, et al.
Mathematics (2022) Vol. 10, Iss. 8, pp. 1307-1307
Open Access | Times Cited: 51
Dynamics of network structure in cryptocurrency markets during abrupt changes in Bitcoin price
Nawee Jaroonchokanan, Amit K. Sinha, Sujin Suwanna
Physica A Statistical Mechanics and its Applications (2025), pp. 130404-130404
Closed Access
Are COVID-19-Related Economic Supports One of the Drivers of Surge in Bitcoin Market? Evidence from Linear and Non-Linear Causality Tests
Mustafa Özer, Serap Kamışlı, Fatih Temi̇zel, et al.
Mathematics (2022) Vol. 11, Iss. 1, pp. 196-196
Open Access | Times Cited: 14
Effective Return Rate Prediction of Blockchain Financial Products Using Machine Learning
K. Kalyani, Velmurugan Subbiah Parvathy, Hikmat A. M. Abdeljaber, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 74, Iss. 1, pp. 2303-2316
Open Access | Times Cited: 8
A Neural Learning Approach for a Data-Driven Nonlinear Error Correction Model
Xi Fang, Nan Yang
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 4
Sell or HODL Cryptos: Cryptocurrency Short-to-Long Term Projection Using Simultaneous Classification-Regression Deep Learning Framework
Muhammad Azhar Iqbal, Arshad Iqbal, Abdullah Alshammari, et al.
IEEE Access (2024) Vol. 12, pp. 118169-118184
Open Access | Times Cited: 1
A Study on Cryptocurrency Log-Return Price Prediction Using Multivariate Time-Series Model
Sang-Ha Sung, Jong‐Min Kim, Byung-Kwon Park, et al.
Axioms (2022) Vol. 11, Iss. 9, pp. 448-448
Open Access | Times Cited: 7
Cryptocurrency Returns Clustering Using Japanese Candlesticks: Towards a Programmatic Trading System
Ahmed El Youssefi, Abdelaaziz Hessane, Yousef Farhaoui, et al.
Environmental science and engineering (2023), pp. 93-103
Closed Access | Times Cited: 3
Heikin Ashi Candlesticks for Cryptocurrency Returns Clustering
Ahmed El Youssefi, Abdelaaziz Hessane, Ahmad El Allaoui, et al.
Lecture notes in networks and systems (2023), pp. 481-485
Closed Access | Times Cited: 2
Bitcoin monthly return forecast: A comparison of ARIMA and multi layer Perceptron Artificial Neural Network
Ivan Lazović, Bojan Đorđević, Marija Lukić
International Review (2023), Iss. 1-2, pp. 149-162
Open Access | Times Cited: 2
A Capacity Degradation Estimation Error Correction Method for Lithium-Ion Battery Considering the Effect of Sequential Depth of Discharge
Laiqiang Kong, Sidun Fang, Tao Niu, et al.
2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) (2023), pp. 01-07
Closed Access | Times Cited: 2
Cryptocurrency returns' causality and prediction by using Vector error corection model
Ivan Lazović, Bojan Đorđević, Marija Lukić
International Review (2024), Iss. 3-4, pp. 140-154
Open Access
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