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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 Prediction by Integrating Sentiment Scores of Financial News and MLP-Regressor: A Machine Learning Approach
Junaid Maqbool, Preeti Aggarwal, Ravreet Kaur, et al.
Procedia Computer Science (2023) Vol. 218, pp. 1067-1078
Open Access | Times Cited: 44

Showing 26-50 of 44 citing articles:

Enhancing Stock Market Prediction Using Gradient Boosting Neural Network: A Hybrid Approach
Taraneh Shahin, María Teresa Ballestar, Ismael Sanz
Computational Economics (2024)
Closed Access
Sentiment Analysis Based on Machine Learning Techniques: A Comprehensive Review
Ari Ibrahim Hamid, Adnan Mohsin Abdulazeez
Indonesian Journal of Computer Science (2024) Vol. 13, Iss. 3
Open Access
Predicting Sugar Import Quantity Using Multi-Layer Perceptron Regressor Method
Mas Syahdan Filsafan, Riyanarto Sarno, Shintami Chusnul Hidayati, et al.
(2024), pp. 394-399
Closed Access
Comparative Analysis of Financial Forecasting Techniques in Machine Learning for Netflix Stock Price Prediction
Amina Saâdaoui, K.Annsheela, A H Sumaiya Jailani -
International Journal For Multidisciplinary Research (2024) Vol. 6, Iss. 4
Open Access
Forecasting Financial Investment Firms’ Insolvencies Empowered with Enhanced Predictive Modeling
Ahmed A. Abdulkareem, Zaki T. Fayed, Sherine Rady, et al.
Journal of risk and financial management (2024) Vol. 17, Iss. 9, pp. 424-424
Open Access
Analysing Psychological Sentiment Prediction Across Modalities: Harnessing Emotion Datasets within Natural Language Processing (NLP)
N Li, Rong Kong
ACM Transactions on Asian and Low-Resource Language Information Processing (2024)
Closed Access
Sentiment Analysis of Financial News and its Impact on the Stock Market
Aditya Patil, Himaanshu Sharma, Aditya Sinha
(2024), pp. 1-5
Closed Access
Analyzing Market Factors for Stock Price Prediction using Deep Learning Techniques
K Suresh, Aritra Sarkar, Anjali Rai, et al.
(2024), pp. 1837-1841
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
Algorithmic trading strategy based on the integration of deep learning models and natural language processing
Neda Sadeghi, Kamran Kianfar, Nasser Ghaem Doust, et al.
International Journal of Data Science and Analytics (2024)
Closed Access
An integrated model of sentiment analysis and quantitative index data for predicting stock market trends: A case study of the Tehran stock exchange
Sayeh Sadat Mehrkian, Hamed Davari‐Ardakani
Expert Systems with Applications (2024), pp. 126298-126298
Closed 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
Tata Steel Stock Forecasting Using Deep Learning
Dinesh Kumar, Meenu Gupta, Rakesh Kumar
(2023), pp. 33-39
Closed Access | Times Cited: 1
Research on the Application of LSTM-SA-AdaBoost Hybrid Model in Stock Forecasting
Yu Sun, Sofianita Mutalib, Nasiroh Omar, et al.
(2023), pp. 310-315
Closed Access | Times Cited: 1
Co-integrated Chaos Measure Dynamics in a Multifactor Model for Financial Market Predictions
Markus Vogl
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 1
Co-Integrated Chaos Measure Dynamics in a Multifactor Model for Financial Market Predictions
Markus Vogl
(2023)
Closed Access
A Comparative Study of Machine Learning Approaches for Stock Price Forecasting
Aryan Mathur, Pujan Fulwala, Shreya Lal, et al.
(2023), pp. 1-6
Closed Access
Nowcasting the Gold Prices in Türkiye Employing Multilayer Perceptron (MLP) Networks
Çağatay Tunçsiper
International Journal of Innovative Research in Multidisciplinary Education (2023) Vol. 02, Iss. 04
Open Access
Forecasting Equity using LSTM Value-at-Risk Estimation
Sayem Patni, Amit Gadekar
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 9s, pp. 727-733
Open Access
Amazon Marketplace: An Analysis of External Factors and Machine Learning Models - Survey
Muneer Alsurori, Waheeb Abdo Almorhebi
American Journal of Artificial Intelligence (2023)
Open Access
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