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:

Investigating Deep Stock Market Forecasting with Sentiment Analysis
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
Entropy (2023) Vol. 25, Iss. 2, pp. 219-219
Open Access | Times Cited: 17

Showing 17 citing articles:

Predictive Analysis of Economic Vulnerability Using News Data
Klenn Borja, Vivekjeet Singh Chambal, David Wangli
(2025)
Closed Access | Times Cited: 1

A deep learning-based sentiment flow analysis model for predicting financial risk of listed companies
Feifei Tao, Wenya Wang, R.M.T. Lu
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110522-110522
Closed Access

Analysis of financial contagion among economic sectors through Dynamic Bayesian Networks
Nathalia Costa Fonseca, João Vinícius de França Carvalho
Expert Systems with Applications (2024) Vol. 260, pp. 125448-125448
Closed Access | Times Cited: 3

Deep Learning for Financial Time Series Prediction: A State-of-the-Art Review of Standalone and Hybrid Models
Weisi Chen, Walayat Hussain, Francesco Cauteruccio, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 139, Iss. 1, pp. 187-224
Open Access | Times Cited: 6

FNSPID: A Comprehensive Financial News Dataset in Time Series
Zihan Dong, Fan Xinyu, Zhiyuan Peng
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 4918-4927
Open Access | Times Cited: 1

Stock Market Forecasting Based on Spatiotemporal Deep Learning
Yung-Chen Li, Hsiao‐Yun Huang, Nan‐Ping Yang, et al.
Entropy (2023) Vol. 25, Iss. 9, pp. 1326-1326
Open Access | Times Cited: 3

Temporal Convolutional Networks and BERT-Based Multi-Label Emotion Analysis for Financial Forecasting
Charalampos M. Liapis, Sotiris Kotsiantis
Information (2023) Vol. 14, Iss. 11, pp. 596-596
Open Access | Times Cited: 3

Financial sentiment analysis: Classic methods vs. deep learning models
Aikaterini Karanikola, Gregory Davrazos, Charalampos M. Liapis, et al.
Intelligent Decision Technologies (2023) Vol. 17, Iss. 4, pp. 893-915
Open Access | Times Cited: 2

Emotion-Driven Energy Load Forecasting: An Ensemble Leveraging Insights from News
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
International Journal of Artificial Intelligence Tools (2024) Vol. 33, Iss. 05
Closed Access

Utilizing Machine Learning and Deep Learning for Predicting Crypto-currency Trends
Ahmed El Youssefi, Abdelaaziz Hessane, Imad Zeroual, et al.
Salud Ciencia y Tecnología - Serie de Conferencias (2024) Vol. 3, pp. 638-638
Open Access

Hybrid price prediction method combining TCN-BiGRU and attention mechanism for battery-grade lithium carbonate
Zhanglin Peng, Tianci Yin, Xuhui Zhu, et al.
Kybernetes (2024)
Closed Access

Long short-term temporal fusion transformer for short-term forecasting of limit order book in China markets
Yucheng Wu, Shuxin Wang, Xianghua Fu
Applied Intelligence (2024) Vol. 54, Iss. 24, pp. 12979-13000
Closed Access

Fin-ALICE: Artificial Linguistic Intelligence Causal Econometrics
Shawn McCarthy, Gita Alaghband
Journal of risk and financial management (2024) Vol. 17, Iss. 12, pp. 537-537
Open 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

Predicting Sales Using Performance Comparison of Different Algorithms in Regression Algorithms
Feng Wang, Joey Aviles
(2023), pp. 1229-1233
Closed Access | Times Cited: 1

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