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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:

Framework for Predicting and Modeling Stock Market Prices Based on Deep Learning Algorithms
Theyazn H. H. Aldhyani, Ali Alzahrani
Electronics (2022) Vol. 11, Iss. 19, pp. 3149-3149
Open Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Forecasting Stock Market Indices Using the Recurrent Neural Network Based Hybrid Models: CNN-LSTM, GRU-CNN, and Ensemble Models
Hyunsun Song, Hyunjun Choi
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4644-4644
Open Access | Times Cited: 43
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022
Cheng Zhang, Nilam Nur Amir Sjarif, Roslina Ibrahim
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 39
Stock Market Analysis Using Time Series Relational Models for Stock Price Prediction
Cheng Zhao, Ping Hu, Xiaohui Liu, et al.
Mathematics (2023) Vol. 11, Iss. 5, pp. 1130-1130
Open Access | Times Cited: 33
SMP-DL: a novel stock market prediction approach based on deep learning for effective trend forecasting
Warda M. Shaban, Eman Ashraf, Ahmed Elsaid Slama
Neural Computing and Applications (2023) Vol. 36, Iss. 4, pp. 1849-1873
Open Access | Times Cited: 27
Optimization of Traditional Stock Market Strategies Using the LSTM Hybrid Approach
Ive Botunac, Jurica Bosna, Maja Matetić
Information (2024) Vol. 15, Iss. 3, pp. 136-136
Open Access | Times Cited: 13
Unified strategy of production, distribution and pricing in a dual-channel supply chain using leasing option
Ahmed Farouk Hamzaoui, Sadok Turki, Nidhal Rezg
International Journal of Production Research (2024) Vol. 62, Iss. 19, pp. 7167-7185
Closed Access | Times Cited: 10
Stock price series forecasting using multi-scale modeling with boruta feature selection and adaptive denoising
Jing Li, Yukun Liu, Hongfang Gong, et al.
Applied Soft Computing (2024) Vol. 154, pp. 111365-111365
Closed Access | Times Cited: 6
Using Deep Learning Techniques in Forecasting Stock Markets by Hybrid Data with Multilingual Sentiment Analysis
Ying-Lei Lin, Chi-Ju Lai, Ping‐Feng Pai
Electronics (2022) Vol. 11, Iss. 21, pp. 3513-3513
Open Access | Times Cited: 23
Application of Artificial Intelligence for Predicting Real Estate Prices: The Case of Saudi Arabia
Elham Alzain, Ali Saleh Alshebami, Theyazn H. H. Aldhyani, et al.
Electronics (2022) Vol. 11, Iss. 21, pp. 3448-3448
Open Access | Times Cited: 20
Enhancing streamflow drought prediction: integrating wavelet decomposition with deep learning and quantile regression neural network models
Babak Mohammadi, Mohammed Abdallah, Rachid Oucheikh, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Open Access
Real-Time Stock Price Prediction Using Apache Kafka
R. Deepalakshmi, Nekkanti Harshini, S. Nivedha
Lecture notes in electrical engineering (2025), pp. 121-136
Closed Access
Machine Learning Defenses: Protecting Financial Markets from Ai-Driven Attacks
Sridevi Koritala
International Journal of Scientific Research in Computer Science Engineering and Information Technology (2025) Vol. 11, Iss. 1, pp. 3480-3490
Open Access
Stock Price Forecasting With Integration of Sectoral Behavior: A Deep Auto‐Optimized Multimodal Framework
Renu Saraswat, Ajit Kumar
Journal of Forecasting (2025)
Closed Access
Marketing Strategy Metamorphosis Under the Impact of Artificial Intelligence Services
Adrian Stancu, Mirela Panait
Systems (2025) Vol. 13, Iss. 4, pp. 227-227
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
Artificial intelligence models in corporate financial and accounting processes: systematic literature review
Deivi David Fuentes Doria, Aníbal Enrique Toscano Hernández, Johana Elisa Fajardo Pereira
Revista Venezolana de Gerencia (2025) Vol. 30, Iss. 110, pp. 913-926
Open Access
Deep Learning-Driven International Market Trend Prediction and Trade Strategy Optimization
Jiayu Du
Applied Mathematics and Nonlinear Sciences (2025) Vol. 10, Iss. 1
Open Access
Predicting Close Price in Emerging Saudi Stock Exchange: Time Series Models
Abdullah H. Al-Nefaie, Theyazn H. H. Aldhyani
Electronics (2022) Vol. 11, Iss. 21, pp. 3443-3443
Open Access | Times Cited: 16
Revolutionizing Solar Power Production with Artificial Intelligence: A Sustainable Predictive Model
Elham Alzain, Shaha Al‐Otaibi, Theyazn H. H. Aldhyani, et al.
Sustainability (2023) Vol. 15, Iss. 10, pp. 7999-7999
Open Access | Times Cited: 9
Development neuro-fuzzy model to predict the stocks of companies in the electric vehicle industry
Alibek Barlybayev, Lena Zhetkenbay, D. D. ugli Karimov, et al.
Eastern-European Journal of Enterprise Technologies (2023) Vol. 4, Iss. 4 (124), pp. 72-87
Open Access | Times Cited: 9
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
Enhancing Exchange-Traded Fund Price Predictions: Insights from Information-Theoretic Networks and Node Embeddings
Insu Choi, Woo Chang Kim
Entropy (2024) Vol. 26, Iss. 1, pp. 70-70
Open Access | Times Cited: 2
1D-CapsNet-LSTM: A deep learning-based model for multi-step stock index forecasting
Cheng Zhang, Nilam Nur Amir Sjarif, Roslina Ibrahim
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 2, pp. 101959-101959
Open Access | Times Cited: 2
Design and Development of a Rural Tourism Marketing System Using Deep Learning
Hui Yang, Ren Xinyu
IEEE Access (2024) Vol. 12, pp. 64795-64806
Open Access | Times Cited: 2
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