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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:

Stock trend prediction using sentiment analysis
Qianyi Xiao, Baha Ihnaini
PeerJ Computer Science (2023) Vol. 9, pp. e1293-e1293
Open Access | Times Cited: 19

Showing 19 citing articles:

Enhancing the Prediction of Stock Market Movement Using Neutrosophic-Logic-Based Sentiment Analysis
Bassant A. Abdelfattah, Saad M. Darwish, Saleh Mesbah Elkaffas
Journal of theoretical and applied electronic commerce research (2024) Vol. 19, Iss. 1, pp. 116-134
Open Access | Times Cited: 11
Intraday Trading Dynamics of Characteristics and Sentiment Tendencies of Past News in the Tokyo Stock Exchange Market
Sungjae Yoon, Hiroshi Takahashi
Computational Economics (2025)
Open Access
A Rule-Based Stock Trading Recommendation System Using Sentiment Analysis and Technical Indicators
Yuri Kim, Sua Yoo, Seongbin Park
Electronics (2025) Vol. 14, Iss. 4, pp. 773-773
Open Access
CSR and Corporate Sustainability: Theoretical and Empirical Approaches Based on Data Science in Spanish Tourism Companies
Maria Fernanda Bernal Salazar, Elisa Baraibar‐Diez, Jesús Collado Agudo
Sustainability (2025) Vol. 17, Iss. 6, pp. 2768-2768
Open Access
A Hybrid Neural Network Model for Sentiment Analysis of Financial Texts Using Topic Extraction, Pre-Trained Model, and Enhanced Attention Mechanism Methods
Ganglong Duan, Shunfei Yan, Meng Zhang
IEEE Access (2024) Vol. 12, pp. 98207-98224
Open Access | Times Cited: 2
Enhancing Stock Market Forecasts with Double Deep Q-Network in Volatile Stock Market Environments
George Papageorgiou, Dimitrios Gkaimanis, Christos Tjortjis
Electronics (2024) Vol. 13, Iss. 9, pp. 1629-1629
Open Access | Times Cited: 1
Development of Context-Based Sentiment Classification for Intelligent Stock Market Prediction
Nurmaganbet Smatov, Руслан Калашников, Amandyk Kartbayev
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 6, pp. 51-51
Open Access | Times Cited: 1
Multi-scale contrast approach for stock index prediction with adaptive stock fusion
Jianliang Gao, Shenwei Wang, Changlong He, et al.
Expert Systems with Applications (2024), pp. 125590-125590
Closed Access | Times Cited: 1
Management of investment portfolios employing reinforcement learning
Gustavo Carvalho Santos, Daniel Vitor Tartari Garruti, Flávio Barboza, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1695-e1695
Open Access | Times Cited: 3
Predicting Stock Market Trends with News Sentiment Analysis and Historical Stock Market Data Analysis Using Data Mining Techniques
Abraham Hotasi, Dicky Prima Satya
(2023) Vol. 6, pp. 1-6
Closed Access | Times Cited: 2
An Automated Analytics Framework for Stock Trend Analysis from Multi-Modal Data
B. Varija, Nagaratna P. Hegde
International Journal of Electronics and Communication Engineering (2024) Vol. 11, Iss. 1, pp. 116-130
Open Access
Development of Context-based Sentiment Classification for Intelligent Stock Market Prediction
Nurmaganbet Smatov, Руслан Калашников, Amandyk Kartbayev
(2024)
Open Access
Semantic Analysis Using Deep Learning for Predicting Stock Trends
Manisha Galphade, V. B. Nikam, Dhanalekshmi P. Yedurkar, et al.
Procedia Computer Science (2024) Vol. 235, pp. 820-829
Open Access
Aplicações de inteligência artificial e reinforcement learning na previsão de preços e gestão de portfólios: ensaios no contexto financeiro e de commodities
Gustavo Venícius da Silva Santos
(2024)
Open Access
Stock Price Prediction Using LLM-Based Sentiment Analysis
Qizhao Chen, Hiroaki Kawashima
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 4846-4853
Closed Access
Deep learning in finance assessing twitter sentiment impact and prediction on stocks
Kaifeng Guo, Haoling Xie
PeerJ Computer Science (2024) Vol. 10, pp. e2018-e2018
Open Access
Unveiling Sentiment Insights in Smart Cities: Exploring the Role of Social Media
Zahra Davoodian, Azadeh Mohebi
(2024), pp. 68-75
Closed Access
Are machine learning models effective in predicting emerging markets? Investigating the accuracy of predictions in emerging stock market indices
Namitha Yeldho, D Nielsen Thomas, Vimal George Kurian, et al.
Quality & Quantity (2024)
Closed Access
OK Google, What is the Stock Forecast for Next week? Leveraging Search Engines for Data Collection, Sentiment Analysis and Stock Predictions
Nicholas Arthur Frederick-Preece, Noorhan Abbas
Lecture notes in computer science (2024), pp. 301-306
Closed Access
A Multi-Modal Transformer Architecture Combining Sentiment Dynamics, Temporal Market Data, and Macroeconomic Indicators for Sturdy Stock Return Forecasting
Abhishek Joshi, Jin Koda, Alihan Hadimlioglu
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 4896-4902
Closed Access
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