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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 Bitcoin price direction with random forests: How important are interest rates, inflation, and market volatility?
Syed Abul Basher, Perry Sadorsky
Machine Learning with Applications (2022) Vol. 9, pp. 100355-100355
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Financial applications of machine learning: A literature review
Noella Nazareth, Y.V. Reddy
Expert Systems with Applications (2023) Vol. 219, pp. 119640-119640
Closed Access | Times Cited: 99
Accuracy and diversity-aware multi-objective approach for random forest construction
Nour El Islem Karabadji, Abdelaziz Amara Korba, Ali Assi, et al.
Expert Systems with Applications (2023) Vol. 225, pp. 120138-120138
Closed Access | Times Cited: 53
Forecasting Bitcoin prices using artificial intelligence: Combination of ML, SARIMA, and Facebook Prophet models
Jiyang Cheng, Sunil Tiwari, K. B. Djebbouri, et al.
Technological Forecasting and Social Change (2023) Vol. 198, pp. 122938-122938
Closed Access | Times Cited: 34
Prediction and interpretation of daily NFT and DeFi prices dynamics: Inspection through ensemble machine learning & XAI
Indranil Ghosh, Esteban Alfaro, Matías Gámez, et al.
International Review of Financial Analysis (2023) Vol. 87, pp. 102558-102558
Open Access | Times Cited: 32
Explainable artificial intelligence modeling to forecast bitcoin prices
John W. Goodell, Sami Ben Jabeur, Foued Saâdaoui, et al.
International Review of Financial Analysis (2023) Vol. 88, pp. 102702-102702
Closed Access | Times Cited: 28
Machine Learning Techniques for Improving Nanosensors in Agroenvironmental Applications
Claudia Arellano, Joseph Govan
Agronomy (2024) Vol. 14, Iss. 2, pp. 341-341
Open Access | Times Cited: 11
Predicting Bitcoin Prices Using Machine Learning
Athanasia Dimitriadou, Andros Gregoriou
Entropy (2023) Vol. 25, Iss. 5, pp. 777-777
Open Access | Times Cited: 17
Enhanced Bitcoin Price Direction Forecasting With DQN
Azamjon Muminov, Otabek Sattarov, Daeyoung Na
IEEE Access (2024) Vol. 12, pp. 29093-29112
Open Access | Times Cited: 6
Enhancing cryptocurrency market volatility forecasting with daily dynamic tuning strategy
Lingbing Feng, Jiajun Qi, Brian M. Lucey
International Review of Financial Analysis (2024) Vol. 94, pp. 103239-103239
Closed Access | Times Cited: 6
The Bitcoin price and Bitcoin price uncertainty: Evidence of Bitcoin price volatility
Nezir Köse, Hakan Yıldırım, Emre Ünal, et al.
Journal of Futures Markets (2024) Vol. 44, Iss. 4, pp. 673-695
Closed Access | Times Cited: 5
The impact of FOMC announcements on cryptocurrency risk spillover across different market conditions
Lihui Tian, Haifeng Wu, Qichang Xie
Review of World Economics (2025)
Closed Access
Automated Bitcoin Trading dApp Using Price Prediction from a Deep Learning Model
Zhi Zhan Lua, Chee Kiat Seow, Raymond Ching Bon Chan, et al.
Risks (2025) Vol. 13, Iss. 1, pp. 17-17
Open Access
Assessing the impact of macroeconomic and environmental concerns on Bitcoin in lower-income countries
B J Santiyano, V F Tanty, J Hariwinarta, et al.
IOP Conference Series Earth and Environmental Science (2025) Vol. 1441, Iss. 1, pp. 012032-012032
Open Access
Unlocking the floating photovoltaic potential of Türkiye's hydroelectric power plants
Ali Ateş
Renewable Energy (2022) Vol. 199, pp. 1495-1509
Closed Access | Times Cited: 22
Do crude oil, gold and the US dollar contribute to Bitcoin investment decisions? An ANN-DCC-GARCH approach
Yadong Liu, Nathee Naktnasukanjn, Anukul Tamprasirt, et al.
Asian Journal of Economics and Banking (2024) Vol. 8, Iss. 1, pp. 2-18
Open Access | Times Cited: 3
Comparative Analysis of Machine Learning Algorithms for Daily Cryptocurrency Price Prediction
Timothy Kayode Samson
Information Dynamics and Applications (2024) Vol. 3, Iss. 1, pp. 64-76
Open Access | Times Cited: 3
Have cryptocurrencies become an inflation hedge after the reopening of the U.S. economy?
Yuji Sakurai, Tetsuo Kurosaki
Research in International Business and Finance (2023) Vol. 65, pp. 101915-101915
Closed Access | Times Cited: 9
Bitcoin Price Forecasting: An Integrated Approach Using Hybrid LSTM-ELM Models
Changqing Luo, Lurun Pan, Binwei Chen, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 14
An evolutionary robust soft measurement technique via enhanced atom search optimization and outlier robust extreme learning machine for wastewater treatment process
Jinlin Xiong, Zihan Tao, Lei Hua, et al.
Journal of Water Process Engineering (2023) Vol. 55, pp. 104102-104102
Closed Access | Times Cited: 7
An interpretable deep learning multi-dimensional integration framework for exchange rate forecasting based on deep and shallow feature selection and snapshot ensemble technology
Jujie Wang, Ying Dong
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108282-108282
Closed Access | Times Cited: 2
Forecasting of Cryptocurrency Price and Financial Stability: Fresh Insights based on Big Data Analytics and Deep Learning Artificial Intelligence Techniques
Jihen Bouslimi, Sahbi Boubaker, Kais Tissaoui
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 3, pp. 14162-14169
Open Access | Times Cited: 2

Wipawan Buathong, Piroj Sieng-EK, Pita Jarupunphol
Journal of Data Science and Intelligent Systems (2023) Vol. 2, Iss. 2, pp. 100-112
Open Access | Times Cited: 6
Investigating risk assessment in post-pandemic household cryptocurrency investments: an explainable machine learning approach
Lin Li
Journal of Asset Management (2023) Vol. 24, Iss. 4, pp. 255-267
Open Access | Times Cited: 5
Prediction of Cryptocurrency Price using Time Series Data and Deep Learning Algorithms
M. Thamban Nair, Mohamed I. Marie, Laila A. Abd-Elmegid
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 8
Open Access | Times Cited: 5
Forecasting NFT coin prices using machine learning: Insights into feature significance and portfolio strategies
Irene Henriques, Perry Sadorsky
Global Finance Journal (2023) Vol. 58, pp. 100904-100904
Closed Access | Times Cited: 4
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