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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:

Enhancing Cryptocurrency Price Forecasting Accuracy: A Feature Selection and Weighting Approach With Bi-Directional LSTM and Trend-Preserving Model Bias Correction
Muhammad Rafi, Qublai Khan Ali Mirza, Muhammad Izaan Sohail, et al.
IEEE Access (2023) Vol. 11, pp. 65700-65710
Open Access | Times Cited: 10

Showing 10 citing articles:

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
Machine Learning-Based Approach for Predicting the Altcoins Price Direction Change from a High-Frequency Data of Seven Years Based on Socio-Economic Factors, Bitcoin Prices, Twitter and News Sentiments
Anamika Gupta, Gaurav Pandey, Rajan Gupta, et al.
Computational Economics (2024) Vol. 64, Iss. 5, pp. 2981-3026
Closed Access | Times Cited: 2
Comparing Long Short-Term Memory and Random Forest Accuracy for Bitcoin Price Forecasting
Munirul Ula, Veri Ilhadi, Zailani Mohamed Sidek
Matrik Jurnal Manajemen Teknik Informatika dan Rekayasa Komputer (2024) Vol. 23, Iss. 2, pp. 259-272
Open Access | Times Cited: 2
Cryptocurrency Price Prediction Model Based on Sentiment Analysis and Social Influence
Fatemeh Feizian, Babak Amiri
IEEE Access (2023) Vol. 11, pp. 142177-142195
Open Access | Times Cited: 4
Elevating Cryptocurrency Predictions: Bidirectional LSTM Methodology
Pranav Kishor Irlapale
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) Vol. 08, Iss. 05, pp. 1-5
Open Access
Harnessing Machine Learning for Crypto-Currency Price Prediction: A Review
Zeravan Arif Ali, Adnan Mohsin Abdulazeez
Kubik Jurnal Publikasi Ilmiah Matematika (2024) Vol. 9, Iss. 1, pp. 114-131
Open Access
A Machine Learning Approach for Estimating Crypto Currency Price Trends
Safiya Sheikh, Upvan Sharma
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) Vol. 08, Iss. 008, pp. 1-5
Open Access
An Innovative Method for Short-Term Forecasting of Blockchain Cryptocurrency Price
Yunfei Yang, Xiaomei Wang, Jiamei Xiong, et al.
Applied Mathematical Modelling (2024), pp. 115795-115795
Closed Access
Dual-Attention Based Multi-Path Approach for Intensifying Stock Market Forecasting
Sachin R. Jadhav, Aashima Bishnoi, Nodira Safarova, et al.
Fluctuation and Noise Letters (2023) Vol. 23, Iss. 02
Closed Access
Bitcoin Price Prediction Using Cuckoo Search Algorithm for Feature Selection with LSTM Model
Elnaz Radmand, Jamshid Pirgazi, Mahmoud Odeh, et al.
(2023), pp. 1-6
Closed Access
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