Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 26-50 of 76 citing articles:

A Method for Determining the Accuracy of Stock Prices using Gradient Boosting and the Support Vector Machines Algorithm
P. Varshitha Reddy, S. Magesh Kumar
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) (2022), pp. 1596-1599
Closed Access | Times Cited: 5
Stock Market Prediction Using Machine Learning Techniques: A Comparative Study
P. Chinthan, Rashmi Mishra, B. Aditya Prakash, et al.
Lecture notes in electrical engineering (2023), pp. 93-108
Closed Access | Times Cited: 2
Generative Adversarial Networks the Future of Consumer Deep Learning?
N. Prabakaran, Aditya Deepak Joshi, Rajarshi Bhattacharyay, et al.
Advances in web technologies and engineering book series (2023), pp. 181-198
Closed Access | Times Cited: 2
Enhancing Stock Market Prediction Through LSTM Modeling and Analysis
Weihao Huang
(2023)
Open Access | Times Cited: 2
Evaluation of Stock Prices Prediction Using Recent Machine Learning Algorithms
Harshit Kesharwani, Tamoshree Mallick, Aakash Nakarmi, et al.
Lecture notes in electrical engineering (2023), pp. 557-566
Closed Access | Times Cited: 2
On the Predictability of Greek Systemic Bank Stocks using Machine Learning Techniques
Hera Antonopoulou, Leonidas Theodorakopoulos, Constantinos Halkiopoulos, et al.
(2022)
Open Access | Times Cited: 3
Stock Price Prediction Using Sentiment Analysis
Shivani Purwar, Shweta Verma, Smriti Srivastava, et al.
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 1, pp. 1301-1305
Open Access
On the empirical performance of different covariance-matrix forecasting methods
Rafael Torres, Marcelo Villena
Neural Computing and Applications (2024) Vol. 36, Iss. 16, pp. 9503-9524
Closed Access
Machine Learning Techniques for Stock Prediction System: A Comprehensive Review
Ankit Mishra, Neha Bhutiani, Sahil Neelam, et al.
SSRN Electronic Journal (2024)
Closed Access
Applying Advanced Artificial Intelligence to Predict the Green Bond Market in Kazakhstan: Fostering Sustainable Financial Instruments and Environmental Objectives
Lyazzat Sembiyeva
MONTENEGRIN JOURNAL OF ECONOMICS (2024) Vol. 20, Iss. 2
Open Access
Analytical detection of “ Smart Stock Trading System” utilizing AI-model
Paramita Saha Chowdhury
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) Vol. 08, Iss. 05, pp. 1-5
Open Access
Comparison of Different Machine Learning Approaches for Forecasting Stock Prices
J Li
Highlights in Science Engineering and Technology (2024) Vol. 94, pp. 17-23
Open Access
Stock market prediction using regression in webapp
Avad Agarwal, M. Uma Devi
AIP conference proceedings (2024) Vol. 3075, pp. 020266-020266
Closed Access
Stock market price prediction analysis (LSTM vs EMA)
Shimonee Singh, Krisha Joshi, Deeba Kanna
AIP conference proceedings (2024) Vol. 3075, pp. 020240-020240
Closed Access
Stock Price Prediction: A Systematic Review
Igbekele Emmanuel, Olowe Oluwambo Tolulope, Taiwo Omobolanle
(2024), pp. 1-5
Closed Access
An Exploratory Comparison of Stock Price Prediction: Using Multiple Machine Learning Approaches based on Global Stock Indices
Chin Yang Lin, João Alexandre Lôbo Marques
(2024), pp. 317-336
Closed Access
Hybridized Deep Learning Models and Federated Learning Techniques to Forecast Stock Market Movement
A. Anitha, Bhabani Shankar Prasad Mishra, Rahul Sahu, et al.
Advances in logistics, operations, and management science book series (2024), pp. 161-198
Closed Access
Implementation of sentiment analysis in stock market prediction using variants of GARCH models
V. Vijayalakshmi
Elsevier eBooks (2024), pp. 227-249
Closed Access
Indian Stock Market Prediction using Augmented Financial Intelligence ML
Anishka Chauhan, Pratham Mayur, Yeshwanth Sai Gokarakonda, et al.
SSRN Electronic Journal (2024)
Closed Access
Where You Think Stock Takes with the Linear Regression Model
Bharat S. Rawal, William Sharpe, Elizabeth Moseng, et al.
Communications in computer and information science (2024), pp. 242-257
Closed Access
An Optimized Deep Learning Model for Stock Price Prediction Using Bi-Directional LSTM with Multi-Inputs and Multi-Steps
Zhuoqun Tian
Highlights in Science Engineering and Technology (2024) Vol. 85, pp. 1079-1086
Open Access
Blockchain and the Stock Market
Neeru Sidana
Advances in finance, accounting, and economics book series (2024), pp. 160-184
Closed Access
Financial Fortunes: A Stock Price Prediction Using LSTM
Merupula Sai Supriya, R. Nithin Rao, Bobburi Anusreeja, et al.
Lecture notes in networks and systems (2024), pp. 157-174
Closed Access
Why Stock Analysts May Make Wrong Predictions?
Arie Harel, Giora Harpaz
Economics Letters (2024) Vol. 244, pp. 111956-111956
Closed Access
A Comparative Review on Stock Market Prediction Using Artificial Intelligence
Pulok Sarker, Abu Sayed, Abu Bakar Siddique, et al.
Malaysian Journal of Science and Advanced Technology (2024), pp. 383-404
Open Access

Scroll to top