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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:

Machine Learning Approaches in Stock Price Prediction: A Systematic Review
Payal Soni, Yogya Tewari, Deepa Krishnan
Journal of Physics Conference Series (2022) Vol. 2161, Iss. 1, pp. 012065-012065
Open Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

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: 88
Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implications
Gaurang Sonkavde, Deepak Dharrao, Anupkumar M. Bongale, et al.
International Journal of Financial Studies (2023) Vol. 11, Iss. 3, pp. 94-94
Open Access | Times Cited: 67
Association mining based deep learning approach for financial time-series forecasting
Tanya Srivastava, Ishita Mullick, Jatin Bedi
Applied Soft Computing (2024) Vol. 155, pp. 111469-111469
Closed Access | Times Cited: 9
Services for Connected, Cooperated, and Automated Mobility based on Big Data and Artificial Intelligence: The SHOW project paradigm
Georgios Spanos, Alexandros Siomos, Carolin Schmidt, et al.
Open Research Europe (2025) Vol. 5, pp. 24-24
Open Access | Times Cited: 1
Utilizing Machine Learning to Reassess the Predictability of Bank Stocks
Hera Antonopoulou, Leonidas Theodorakopoulos, Constantinos Halkiopoulos, et al.
Emerging Science Journal (2023) Vol. 7, Iss. 3, pp. 724-732
Open Access | Times Cited: 21
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: 21
A multi-feature stock price prediction model based on multi-feature calculation, LASSO feature selection, and Ca-LSTM network
Xiao Dong Chen, Lei Cao, Zhi Cao, et al.
Connection Science (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 6
Keratoconus Progression Determined at the First Visit: A Deep Learning Approach With Fusion of Imaging and Numerical Clinical Data
Lennart Hartmann, Denna S. Langhans, Veronika Eggarter, et al.
Translational Vision Science & Technology (2024) Vol. 13, Iss. 5, pp. 7-7
Open Access | Times Cited: 4
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
Using Stacked Generalization Model in Stock Price Forecasting: A Comparative Analysis on BIST100 Index
Ahmed İhsan Şimşek
Fiscaoeconomia (2025) Vol. 9, Iss. 1, pp. 305-322
Open Access
Joint interval forecasting of renewable energy stocks using a secondary decomposition approach
Shuihan Liu, Yunjie Wei, Pan Peng, et al.
Renewable Energy (2025), pp. 122763-122763
Closed Access
Evaluating Predictive Models for Three Green Finance Markets: Insights from Statistical vs. Machine Learning Approaches
Sonia Benghiat, Salim Lahmiri
Computation (2025) Vol. 13, Iss. 3, pp. 76-76
Open Access
Financial stock market forecast using evaluated linear regression based machine learning technique
J Sangeetha, K. Joy Alfia
Measurement Sensors (2023) Vol. 31, pp. 100950-100950
Open Access | Times Cited: 12
Real-Time Bitcoin Price Prediction Using Hybrid 2D-CNN LSTM Model
Saman Kazeminia, Hedieh Sajedi, Masoud Arjmand
(2023), pp. 173-178
Closed Access | Times Cited: 10
Stock Price Prediction Website Using Linear Regression - A Machine Learning Algorithm
Sonali Antad, Saloni Khandelwal, Anushka Khandelwal, et al.
ITM Web of Conferences (2023) Vol. 56, pp. 05016-05016
Open Access | Times Cited: 9
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
Enhanced Multi-variate Time Series Prediction Through Statistical-Deep Learning Integration: The VAR-Stacked LSTM Model
Mohd Sakib, Suhel Mustajab
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access | Times Cited: 3
Nudging financial behavior in the age of artificial intelligence
Cristiana Cerqueira Leal, Benilde Oliveira
Elsevier eBooks (2024), pp. 115-144
Closed Access | Times Cited: 3
A Proposal of a Method to Determine the Appropriate Learning Period in Stock Price Prediction Using Machine Learning
Ryuya Shirata, Taku Harada
IEEJ Transactions on Electrical and Electronic Engineering (2024) Vol. 19, Iss. 5, pp. 726-732
Closed Access | Times Cited: 1
A Comparative Analysis of Traditional and Machine Learning Methods in Forecasting the Stock Markets of China and the US
Shangshang Jin
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access | Times Cited: 1
Data-Driven Strategies for Complex System Forecasts: The Role of Textual Big Data and State-Space Transformers in Decision Support
Huairong Huo, Wanxin Guo, Ruining Yang, et al.
Systems (2024) Vol. 12, Iss. 5, pp. 171-171
Open Access | Times Cited: 1
Exploring local–global stock price interconnections & patterns via augmented deep neural links for stock predictions
Charanjeet Dadiyala, Rashmi Welekar
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Pro Trader RL: Reinforcement learning framework for generating trading knowledge by mimicking the decision-making patterns of professional traders
Da‐Woon Jeong, Yeong Hyeon Gu
Expert Systems with Applications (2024) Vol. 254, pp. 124465-124465
Open Access | Times Cited: 1
Stock market prediction in Bangladesh perspective using artificial neural network
Md Ashikur, Rahman Khan, Ishtiaq Ahammad, et al.
International Journal of Advanced Technology and Engineering Exploration (2022) Vol. 9, Iss. 95
Open Access | Times Cited: 6
A new hybrid method of recurrent reinforcement learning and BiLSTM for algorithmic trading
Yuling Huang, Yunlin Song
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 2, pp. 1939-1951
Closed Access | Times Cited: 3
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