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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:

A Survey on Machine Learning for Stock Price Prediction: Algorithms and Techniques
Mehtabhorn Obthong, Nongnuch Tantisantiwong, Watthanasak Jeamwatthanachai, et al.
(2020)
Open Access | Times Cited: 110

Showing 1-25 of 110 citing articles:

Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models
Sidra Mehtab, Jaydip Sen, Abhishek Dutta
Communications in computer and information science (2021), pp. 88-106
Open Access | Times Cited: 115
An Overview of Machine Learning, Deep Learning, and Reinforcement Learning-Based Techniques in Quantitative Finance: Recent Progress and Challenges
Santosh Sahu, Anil Mokhade, Neeraj Dhanraj Bokde
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1956-1956
Open Access | Times Cited: 94
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
Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models
Milad Shahvaroughi Farahani, Seyed Hossein Razavi Hajiagha
Soft Computing (2021) Vol. 25, Iss. 13, pp. 8483-8513
Open Access | Times Cited: 93
Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda
Ritika Chopra, Gagan Deep Sharma
Journal of risk and financial management (2021) Vol. 14, Iss. 11, pp. 526-526
Open Access | Times Cited: 66
Comparative Analysis of Stock Price Prediction Using Deep Learning with Data Scaling Method
I Nyoman Switrayana, Rifqi Hammad, Pahrul Irfan, et al.
JTIM Jurnal Teknologi Informasi dan Multimedia (2025) Vol. 7, Iss. 1, pp. 78-90
Open Access | Times Cited: 1
Key technical indicators for stock market prediction
Sayed Mahdi Mostafavi, Alireza Hooman
Machine Learning with Applications (2025) Vol. 20, pp. 100631-100631
Closed Access | Times Cited: 1
A time series analysis-based stock price prediction using machine learning and deep learning models
Sidra Mehtab, Jaydip Sen
International Journal of Business Forecasting and Marketing Intelligence (2020) Vol. 6, Iss. 4, pp. 272-272
Open Access | Times Cited: 55
Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models
Jaydip Sen, Sidra Mehtab, Abhishek Dutta
(2021)
Open Access | Times Cited: 55
Trends and Directions of Financial Technology (Fintech) in Society and Environment: A Bibliometric Study
Adeel Nasir, Kamran Shaukat, Kanwal Iqbal Khan, et al.
Applied Sciences (2021) Vol. 11, Iss. 21, pp. 10353-10353
Open Access | Times Cited: 53
Ensemble Technique With Optimal Feature Selection for Saudi Stock Market Prediction: A Novel Hybrid Red Deer-Grey Algorithm
Saud S. Alotaibi
IEEE Access (2021) Vol. 9, pp. 64929-64944
Open Access | Times Cited: 36
Startups and Consumer Purchase Behavior: Application of Support Vector Machine Algorithm
Pejman Ebrahimi, Aidin Salamzadeh, Maryam Soleimani, et al.
Big Data and Cognitive Computing (2022) Vol. 6, Iss. 2, pp. 34-34
Open Access | Times Cited: 25
Stock Market Prediction using Supervised Machine Learning Techniques: An Overview
Zaharaddeen Karami Lawal, Hayati Yassin, Rufai Yusuf Zakari
2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) (2020), pp. 1-6
Closed Access | Times Cited: 29
A dual-path convolutional neural network combined with an attention-based bidirectional long short-term memory network for stock price prediction
Zhao Gui-yan, Yunfei Cheng, Jianhui Yang, et al.
PLoS ONE (2025) Vol. 20, Iss. 4, pp. e0319775-e0319775
Open Access
Stock Price Prediction Using the Combination of Firefly (FA) and Genetic Algorithms
Ata Larijani, Farbod Dehghani
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 9
An enhanced Wasserstein generative adversarial network with Gramian Angular Fields for efficient stock market prediction during market crash periods
Alireza Ghasemieh, Rasha Kashef
Applied Intelligence (2023) Vol. 53, Iss. 23, pp. 28479-28500
Closed Access | Times Cited: 9
Automated stock picking using random forests
Christian Breitung
Journal of Empirical Finance (2023) Vol. 72, pp. 532-556
Closed Access | Times Cited: 8
A systematic literature survey on recent trends in stock market prediction
Prakash Balasubramanian, P. Chinthan, Saleena Badarudeen, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1700-e1700
Open Access | Times Cited: 3
Deep Learning-Based Stock Market Prediction and Investment Model for Financial Management
Yijing Huang, Vinay Vakharia
Journal of Organizational and End User Computing (2024) Vol. 36, Iss. 1, pp. 1-22
Open Access | Times Cited: 3
DESIGNING A DEEP LEARNING-BASED FINANCIAL DECISION SUPPORT SYSTEM FOR FINTECH TO SUPPORT CORPORATE CUSTOMER’S CREDIT EXTENSION
Arodh Lal Karn, V. Sachin, Sudhakar Sengan, et al.
Malaysian Journal of Computer Science (2022), pp. 116-131
Open Access | Times Cited: 14
Statistical Machine Learning Regression Models for Salary Prediction Featuring Economy Wide Activities and Occupations
Yasser T. Matbouli, Suliman Alghamdi
Information (2022) Vol. 13, Iss. 10, pp. 495-495
Open Access | Times Cited: 14
Decision Support System for Stock Portfolio Selection Using Artificial Intelligence and Machine Learning
Sandeep Patalay, Madhusudhan Rao Bandlamudi
Ingénierie des systèmes d information (2021) Vol. 26, Iss. 1, pp. 87-93
Open Access | Times Cited: 17
Digital Economy Meets Artificial Intelligence: Forecasting Economic Conditions Based on Big Data Analytics
Lili Wang, Liuyang Zhao
Mobile Information Systems (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 11
A Three-Dimensional Approach for Stock Prediction Using AI/ML Algorithms: A Review & Comparison
S. Raju, M.V. Srikanth, Koppala Guravaiah, et al.
(2023) Vol. 9, pp. 1-6
Closed Access | Times Cited: 5
Price Prediction Using Time-Series Algorithms for Stocks Listed on Bursa Malaysia
Y. Y. Choy, Meei Hao Hoo, Kok–Chin Khor
(2021), pp. 1-5
Closed Access | Times Cited: 12
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