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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 price prediction: comparison of different moving average techniques using deep learning model
Md Masum Billah, Azmery Sultana, Farzana Ahamed Bhuiyan, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 11, pp. 5861-5871
Closed Access | Times Cited: 17

Showing 17 citing articles:

Stock Market Prediction With Transductive Long Short-Term Memory and Social Media Sentiment Analysis
Ali Peivandizadeh, Sima Hatami, Amirhossein Nakhjavani, et al.
IEEE Access (2024) Vol. 12, pp. 87110-87130
Open Access | Times Cited: 6
Hybrid CNN-BiGRU-AM Model with Anomaly Detection for Nonlinear Stock Price Prediction
Jiacheng Luo, Yun Cao, Kai Xie, et al.
Electronics (2025) Vol. 14, Iss. 7, pp. 1275-1275
Open Access
A Quest for Context-Specific Stock Price Prediction: A Comparison Between Time Series, Machine Learning and Deep Learning Models
Mugdha Shailendra Kulkarni, S. Vijayakumar Bharathi, Arif Perdana, et al.
SN Computer Science (2025) Vol. 6, Iss. 4
Open Access
Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies
Mohiuddin Ahmed Bhuiyan, Md. Oliullah Rafi, Gourab Nicholas Rodrigues, et al.
Array (2025), pp. 100390-100390
Open Access
Financial asset allocation strategies using statistical and machine learning models: Evidence from comprehensive scenario testing
Bautista Penayo, Vedrana Pribičević, Andrej Novák
Applied Soft Computing (2025), pp. 113193-113193
Closed Access
Investigating explainability of deep learning models for sequential data on stock price prediction
M. Sasikumar, Ebin Deni Raj
Procedia Computer Science (2025) Vol. 258, pp. 4190-4201
Open Access
A deep fusion model for stock market prediction with news headlines and time series data
Pin‐Yu Chen, Zois Boukouvalas, Roberto Corizzo
Neural Computing and Applications (2024) Vol. 36, Iss. 34, pp. 21229-21271
Open Access | Times Cited: 3
DeepInvest: Stock Market Predictions with a Sequence-Oriented BiLSTM Stacked Model – A Dataset Case Study of AMZN
Ashkan Safari, Mohammad Ali Badamchizadeh
Intelligent Systems with Applications (2024), pp. 200439-200439
Open Access | Times Cited: 3
Exploring the Future of Stock Market Prediction through Machine Learning: An Extensive Review and Outlook
Sourabh Jain, Navdeep Kaur Saluja, Anil Pimplapure, et al.
International Journal of Innovative Science and Modern Engineering (2024) Vol. 12, Iss. 4, pp. 1-10
Closed Access | Times Cited: 2
Predicting the highest and lowest stock price indices: A combined BiLSTM-SAM-TCN deep learning model based on re-decomposition
Hao Gong, H. Y. Xing
Applied Soft Computing (2024), pp. 112393-112393
Closed Access | Times Cited: 2
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
A Stock Prediction Method Based on Multidimensional and Multilevel Feature Dynamic Fusion
Yuxin Dong, Yongtao Hao
Electronics (2024) Vol. 13, Iss. 20, pp. 4111-4111
Open Access | Times Cited: 1
Leveraging LSTM and Multinomial Naive Bayes for Nuanced Textual-Based Sentiment Analysis
Umang Kumar Agrawal, B. V. Ramana, Debabrata Singh, et al.
SN Computer Science (2024) Vol. 5, Iss. 8
Closed Access
A Comparative Study on Conventional Methods and Machine Learning Approaches on Stock Market Prediction
Gautam Prasad, Sujit Kumar Sahoo, Harmanpreet Kaur
SSRN Electronic Journal (2024)
Closed Access
Study on AI-Assisted Statistical Approach for Improving Stock Price Prediction Accuracy
Gaurav Tuteja, Varsha Agarwal, N Meeramani, et al.
INTI JOURNAL. (2024) Vol. 2022, Iss. 1
Open Access
A Novel Deep Convolutional Neural Network Algorithm for Equity Price Prediction
Jesmine Mary Antony, Natarajan Sundaram
International Research Journal of Multidisciplinary Technovation (2024), pp. 275-291
Open Access
Analysis of Financial Contagion and Prediction of Dynamic Correlations During the COVID-19 Pandemic: A Combined DCC-GARCH and Deep Learning Approach
Víctor Manuel Chung Alva, Jenny Luz Espinoza Poves, Alan Mauricio Mansilla de los Santos
Journal of risk and financial management (2024) Vol. 17, Iss. 12, pp. 567-567
Open 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 modelling of indonesian banks: Forecasting modelling
Justin Eduardo Simarmata, Gerhard‐Wilhelm Weber, Milagros Baldemor, et al.
Journal of Dynamics and Games (2024)
Open Access
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