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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:

Predicting the Price of Bitcoin Using Sentiment-Enriched Time Series Forecasting
Markus Frohmann, Manuel Karner, Said Khudoyan, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 3, pp. 137-137
Open Access | Times Cited: 13

Showing 13 citing articles:

Evaluating Time-Series Prediction of Temperature, Relative Humidity, and CO2 in the Greenhouse with Transformer-Based and RNN-Based Models
Ju Yeon Ahn, Y.B. Kim, H. W. Park, et al.
Agronomy (2024) Vol. 14, Iss. 3, pp. 417-417
Open Access | Times Cited: 5
Artificial Intelligence Applications in Financial Technology
Albert Y. S. Lam
Journal of theoretical and applied electronic commerce research (2025) Vol. 20, Iss. 1, pp. 29-29
Open Access
Cryptocurrency Trend Prediction Through Hybrid Deep Transfer Learning
Kia Jahanbin, Mohammad Ali Zare Chahooki
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access
Aspect-Based Sentiment Analysis of Twitter Influencers to Predict the Trend of Cryptocurrencies Based on Hybrid Deep Transfer Learning Models
Kia Jahanbin, Mohammad Ali Zare Chahooki
IEEE Access (2023) Vol. 11, pp. 121656-121670
Open Access | Times Cited: 10
An Integrated Fuzzy Analytic Network Process and Fuzzy Regression Method for Bitcoin Price Prediction
Arman Amiri, Madjid Tavana, Hosein Arman
Internet of Things (2023) Vol. 25, pp. 101027-101027
Closed Access | Times Cited: 9
A Deep Learning Framework for Hourly Bitcoin Price Prediction Using Bi-LSTM and Sentiment Analysis of Twitter Data
Raj Patel, Jaya Chauhan, Naveen Kumar Tiwari, et al.
SN Computer Science (2024) Vol. 5, Iss. 6
Closed Access | Times Cited: 2
Bitcoin Trend Prediction with Attention-Based Deep Learning Models and Technical Indicators
Ming-Che Lee
Systems (2024) Vol. 12, Iss. 11, pp. 498-498
Open Access | Times Cited: 1
Candlestick Pattern Recognition in Cryptocurrency Price Time-Series Data Using Rule-Based Data Analysis Methods
Illia Uzun, M. Lobachev, Vyacheslav Kharchenko, et al.
Computation (2024) Vol. 12, Iss. 7, pp. 132-132
Open Access
Next step for bitcoin: Confluence of technical indicators and machine learning
Domícián Máté, Hassan Raza, Ishtiaq Ahmad, et al.
JOURNAL OF INTERNATIONAL STUDIES (2024) Vol. 17, Iss. 3, pp. 68-94
Open Access
Predicting Bitcoin price movement through Sentiment Analysis: A Comprehensive Study
Hanh Nguyen Phuong, Asefeh Asemi, Mutaz AlShafeey
(2024), pp. 1-6
Closed Access
The Future of Bitcoin Price Predictions Integrating Deep Learning and the Hybrid Model Method
Guzalxon Belalova, Shakhida Gaybullaevna Mannanova, Botirjon Karimov
(2023), pp. 202-211
Open Access

Zbirnyk Naukovyh, Iryna Budnikevich, Оlena Kolomytseva, et al.
Proceedings of Scientific Works of Cherkasy State Technological University Series Economic Sciences (2023) Vol. 24, Iss. 4
Open Access
Analysis of approaches and their features to research the dynamics of cryptocurrencies
Kostyantyn Stryzhychenko
Proceedings of Scientific Works of Cherkasy State Technological University Series Economic Sciences (2023) Vol. 24, Iss. 4, pp. 127-135
Open Access
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