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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:

Using Social Network Sentiment Analysis and Genetic Algorithm to Improve the Stock Prediction Accuracy of the Deep Learning-Based Approach
Jia‐Yen Huang, Chun-Liang Tung, Weizhen Lin
International Journal of Computational Intelligence Systems (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 10

Showing 10 citing articles:

A novel strongly-typed Genetic Programming algorithm for combining sentiment and technical analysis for algorithmic trading
Evangelia Christodoulaki, Michael Kampouridis, Maria Kyropoulou
Knowledge-Based Systems (2025), pp. 113054-113054
Closed Access
Analyzing the growing factor of Financial Markets Using Sentimental Analysis Algorithms
Praveen Kantha, N. Thiyagarajan, Vikrant Sharma, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 9
A Novel Approach for Predict Stock Prices in Fusion of Investor's Sentiment and Stock Data
Harmanjeet Singh, Manisha Malhotra
(2023), pp. 1163-1169
Closed Access | Times Cited: 4
A Deep Learning-Based Multi-objective Optimization Model for PM2.5 Prediction
Wenkai Xu, Fengchen Fu, Qingqing Zhang, et al.
International Journal of Computational Intelligence Systems (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 3
Semiconductor Price Index Predicting Based on a Novel Improved AdaBoost Feature-Weighted Combination Model
Feng Chen, Qi Jiang, Hongyu Deng
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access
Sentiment Analysis for Stock Prediction Using Mass Media Sources
Kunal Kishor Billade, Jeel Patel, N. Karthik, et al.
IFIP advances in information and communication technology (2024), pp. 179-189
Closed Access
Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions
Jayaraman Kumarappan, R Elakkiya, V. Subramaniyaswamy, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access
Analyzing Sentiment's Impact on Stock Price Prediction: A Comprehensive Survey
Safira Nury Safitri, Silmi Fauziati, Indriana Hidayah
(2024), pp. 160-165
Closed Access
Previsão da Direção do Preço de Ação Brasileira Utilizando Redes Neurais e Máquinas de Vetores Suporte
Carlos A. M. Monteiro, Matheus H. D. M. Ribeiro
(2024), pp. 98-105
Closed Access
Examining the Sentiment Expressed in Tweets Related to COVID-19 and the Omicron Variant Using Deep Learning Classifiers
Sanjana Racharla, Bharadwaj Golla, Nandini Jangala, et al.
Lecture notes in electrical engineering (2024), pp. 371-383
Closed Access
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