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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:

Recurrent Neural Network Based Bitcoin Price Prediction by Twitter Sentiment Analysis
Dibakar Raj Pant, Prasanga Neupane, Anuj Poudel, et al.
(2018), pp. 128-132
Closed Access | Times Cited: 114

Showing 1-25 of 114 citing articles:

Bitcoin price change and trend prediction through twitter sentiment and data volume
Jacques Vella Critien, Albert Gatt, Joshua Ellul
Financial Innovation (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 72
Cryptocurrencies: A Brief Thematic Review
Usman W. Chohan
SSRN Electronic Journal (2017)
Closed Access | Times Cited: 152
Bitcoin Price Prediction and Analysis Using Deep Learning Models
Temesgen Awoke, Minakhi Rout, Lipika Mohanty, et al.
Lecture notes in networks and systems (2020), pp. 631-640
Closed Access | Times Cited: 95
Detecting cryptocurrency pump-and-dump frauds using market and social signals
Huy Nghiem, Goran Murić, Fred Morstatter, et al.
Expert Systems with Applications (2021) Vol. 182, pp. 115284-115284
Closed Access | Times Cited: 58
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: 55
Software Fault Prediction Using an RNN-Based Deep Learning Approach and Ensemble Machine Learning Techniques
Emin Borandağ
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1639-1639
Open Access | Times Cited: 31
Assessing the Differences in Bitcoin & Other Cryptocurrency Legality Across National Jurisdictions
Usman W. Chohan
SSRN Electronic Journal (2017)
Closed Access | Times Cited: 63
Are Stable Coins Stable?
Usman W. Chohan
SSRN Electronic Journal (2019)
Closed Access | Times Cited: 44
Deep end-to-end learning for price prediction of second-hand items
Ahmed Fathalla, Ahmad Salah, Kenli Li, et al.
Knowledge and Information Systems (2020) Vol. 62, Iss. 12, pp. 4541-4568
Closed Access | Times Cited: 43
Tweet Sentiment Analysis for Cryptocurrencies
Emre Şaşmaz, F. Boray Tek
2021 6th International Conference on Computer Science and Engineering (UBMK) (2021)
Closed Access | Times Cited: 35
Assessing the influence of celebrity and government endorsements on bitcoin’s price volatility
Subhan Ullah, Rexford Attah‐Boakye, Kweku Adams, et al.
Journal of Business Research (2022) Vol. 145, pp. 228-239
Open Access | Times Cited: 27
LLMs and NLP Models in Cryptocurrency Sentiment Analysis: A Comparative Classification Study
Konstantinos I. Roumeliotis, Nikolaos D. Tselikas, Dimitrios Κ. Nasiopoulos
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 6, pp. 63-63
Open Access | Times Cited: 6
The Concept and Criticisms of Steemit
Usman W. Chohan
SSRN Electronic Journal (2018)
Closed Access | Times Cited: 39
Predictions of bitcoin prices through machine learning based frameworks
Luisanna Cocco, Roberto Tonelli, Michele Marchesi
PeerJ Computer Science (2021) Vol. 7, pp. e413-e413
Open Access | Times Cited: 32
Deep Reinforcement Learning for Trading—A Critical Survey
Adrian Millea
Data (2021) Vol. 6, Iss. 11, pp. 119-119
Open Access | Times Cited: 28
Analysis of Bitcoin’s price spike in context of Elon Musk’s Twitter activity
Salma Zaman, Ussama Yaqub, Tauqeer Saleem
Global Knowledge Memory and Communication (2022) Vol. 72, Iss. 4/5, pp. 341-355
Closed Access | Times Cited: 21
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
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: 5
Dynamic sentiment spillovers among crude oil, gold, and Bitcoin markets: Evidence from time and frequency domain analyses
Xianfang Su, Yong Li
PLoS ONE (2020) Vol. 15, Iss. 12, pp. e0242515-e0242515
Open Access | Times Cited: 32
Twitter Attribute Classification With Q-Learning on Bitcoin Price Prediction
Otabek Sattarov, Jaeyoung Choi
IEEE Access (2022) Vol. 10, pp. 96136-96148
Open Access | Times Cited: 18
A Tree Augmented Naïve Bayes-based methodology for classifying cryptocurrency trends
Ali Dağ, Asli Z. Dag, Abdullah Asilkalkan, et al.
Journal of Business Research (2022) Vol. 156, pp. 113522-113522
Closed Access | Times Cited: 17
Deep learning and NLP in cryptocurrency forecasting: Integrating financial, blockchain, and social media data
Vincent Gurgul, Stefan Lessmann, Wolfgang Karl Härdle
International Journal of Forecasting (2025)
Open Access
A Data Selection Methodology to Train Linear Regression Model to Predict Bitcoin Price
Mohammad Ali, Swakkhar Shatabda
(2020)
Closed Access | Times Cited: 27
The price and cost of bitcoin
John E. Marthinsen, Steven R. Gordon
The Quarterly Review of Economics and Finance (2022) Vol. 85, pp. 280-288
Open Access | Times Cited: 16
Cryptocurrency Turmoil: Unraveling the Collapse of a Unified Stablecoin (USTC) through Twitter as a Passive Sensor
Stefano Ferretti, Marco Furini
Sensors (2024) Vol. 24, Iss. 4, pp. 1270-1270
Open Access | Times Cited: 3
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