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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 of Cryptocurrency Prices Using Machine Learning
Vasily Derbentsev, Andriy Matviychuk, Vladimir Soloviev
Springer eBooks (2020), pp. 211-231
Closed Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

An Advanced CNN-LSTM Model for Cryptocurrency Forecasting
Ioannis E. Livieris, Niki Kiriakidou, Stavros Stavroyiannis, et al.
Electronics (2021) Vol. 10, Iss. 3, pp. 287-287
Open Access | Times Cited: 133
Machine learning techniques for forecasting agricultural prices: A case of brinjal in Odisha, India
Ranjit Kumar Paul, Md Yeasin, Pramod Kumar, et al.
PLoS ONE (2022) Vol. 17, Iss. 7, pp. e0270553-e0270553
Open Access | Times Cited: 48
Recurrent neural network architecture for forecasting banana prices in Gujarat, India
Prity Kumari, Viniya Goswami, N. Harshith, et al.
PLoS ONE (2023) Vol. 18, Iss. 6, pp. e0275702-e0275702
Open Access | Times Cited: 13
Predicting Potato Prices in Agra, UP, India: An H2O AutoML Approach
Prity Kumari, Satish Kumar M, Prashant Vekariya, et al.
Potato Research (2024)
Closed Access | Times Cited: 5
Predicting Bull and Bear Markets: A Deep Learning and Linear Regression Study in Cryptocurrencies
João Henrique Inacio de Souza, Rodolfo I. Meneguette, Vinícius P. Gonçalves, et al.
Lecture notes in computer science (2025), pp. 281-295
Closed Access
Using Signal Decomposition Methods and Deep Learning Approaches to Forecast Bitcoin Price
Chun-Li Tsai, Mu‐Yen Chen, Tsung-Yi Tsai, et al.
Computational Economics (2025)
Closed Access
Analysis of the trading interval duration for the Bitcoin market using high-frequency transaction data
Makoto Nakakita, Teruo Nakatsuma
Quantitative Finance and Economics (2025) Vol. 9, Iss. 1, pp. 202-241
Open Access
Stacking machine learning model for price forecasting of ten popular cryptocurrencies using differential evolution algorithm
Mohammad Hossein Asgari, Amir Daneshvar, Mehdi Madanchi Zaj, et al.
Iran Journal of Computer Science (2025)
Closed Access
Deep learning for Bitcoin price direction prediction: models and trading strategies empirically compared
Oluwadamilare Omole, David Enke
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 3
A new approach for classification of stretch-shortening cycle: Beyond 250 ms of ground contact time
Evrim Ünver, Hande Konşuk Ünlü, Adalet Elçin Yıldız, et al.
Journal of Sports Sciences (2024), pp. 1-10
Closed Access | Times Cited: 3
Performance analysis of bitcoin forecasting using deep learning techniques
Nrusingha Tripathy, Sarbeswara Hota, Debahuti Mishra
Indonesian Journal of Electrical Engineering and Computer Science (2023) Vol. 31, Iss. 3, pp. 1515-1515
Open Access | Times Cited: 9
Cryptocurrency Price Prediction Using Enhanced PSO with Extreme Gradient Boosting Algorithm
Vibha Srivastava, Vijay Kumar Dwivedi, Ashutosh Kumar Singh
Cybernetics and Information Technologies (2023) Vol. 23, Iss. 2, pp. 170-187
Open Access | Times Cited: 8
Assessment of public welfare in Ukraine in the context of the COVID-19 pandemic and economy digitalization
Serhii Kozlovskyi, Iaroslav Petrunenko, Вікторія Байдала, et al.
Problems and Perspectives in Management (2021) Vol. 19, Iss. 1, pp. 416-431
Open Access | Times Cited: 15
Bitcoin Price Forecasting and Trading: Data Analytics Approaches
Abdullah H. Al-Nefaie, Theyazn H. H. Aldhyani
Electronics (2022) Vol. 11, Iss. 24, pp. 4088-4088
Open Access | Times Cited: 11
Forecasting Cryptocurrency Prices Using Ensembles-Based Machine Learning Approach
Vasily Derbentsev, Natalia Datsenko, Vitalina Babenko, et al.
(2020), pp. 707-712
Closed Access | Times Cited: 15
Casual analysis of financial and operational risks of oil and gas companies in condition of emergent economy
Inesa Khvostina, Сергій Олексійович Семеріков, Oleh Yatsiuk, et al.
(2020)
Open Access | Times Cited: 12
A Prediction Model for Short Price Jump in Cryptocurrency Market
M Rajaei, Qusay H. Mahmoud
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2024), pp. 0144-0150
Closed Access | Times Cited: 1
PAM: Cultivate a Novel LSTM Predictive Analysis Model for the Behavior of Cryptocurrencies
Mona Mohamed, Mona Gharib
Sustainable Machine Intelligence Journal (2024) Vol. 6
Open Access | Times Cited: 1
A comparative study of bitcoin price prediction during pre-Covid19 and whilst-Covid19 period using time series and machine learning models
Indranath Chatterjee, Sajal Chakraborti, Tanya Tono
Discover Analytics (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 1
Machine learning approaches for financial time series forecasting
Vasily Derbentsev, Andriy Matviychuk, Наталія Даценко, et al.
(2020)
Open Access | Times Cited: 10
Econophysics of cryptocurrency crashes: a systematic review
Andrii Bielinskyi, Oleksandr Serdyuk, Сергій Олексійович Семеріков, et al.
(2021)
Open Access | Times Cited: 9
Econophysics of cryptocurrency crashes: an overview
Andrii Bielinskyi, Oleksandr Serdyuk, Сергій Олексійович Семеріков, et al.
SHS Web of Conferences (2021) Vol. 107, pp. 03001-03001
Open Access | Times Cited: 8
Customer Classification and Decision Making in the Digital Economy based on Scoring Models
Hennadii Mazur, Наталя Буркіна, Yurii Popovskyi, et al.
WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS (2023) Vol. 20, pp. 800-814
Open Access | Times Cited: 3
Predicting Cryptocurrency Price Returns by Using Deep Learning Model of Technical Analysis Indicators
Negar Fazlollahi, Saeed Ebrahimijam
Springer proceedings in business and economics (2023), pp. 175-186
Closed Access | Times Cited: 3
Risk Analysis for Cryptocurrency: Challenges and Future Scope
Meghavi Rana, Sumedha Bhardwaj, Ishaan Dawar, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 3
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