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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:

Effectiveness of Artificial Intelligence in Stock Market Prediction based on Machine Learning
Sohrab Mokhtari, Kang K. Yen, Jin Liu
International Journal of Computer Applications (2021) Vol. 183, Iss. 7, pp. 1-8
Open Access | Times Cited: 50

Showing 26-50 of 50 citing articles:

Revolutionizing Stock Market Predictions
Rajani H. Pillai, Aatika Bi
(2024), pp. 227-248
Closed Access
AI-Driven Exploration and Prediction of Company Registration Trends with Registrar of Companies (RoC)
R. Venkatakrishnan, Mohanavarshini Sivagurunathan, Lalitha Siva, et al.
Journal of Ubiquitous Computing and Communication Technologies (2024) Vol. 6, Iss. 1, pp. 64-75
Open Access
Security Risk Analysis and Price Predictions with Machine and Deep Learning Models (LSTM)
Muhammad Mehdi Muhammad Mehdi, Inam Ul Haq, Atif Ikram Atif Ikram
Journal of Innovative Computing and Emerging Technologies (2024) Vol. 4, Iss. 1
Open Access
The Role of AI in Financial Markets: Impacts on Trading, Portfolio Management, and Price Prediction
Sunil Kumar Das
Deleted Journal (2024) Vol. 20, Iss. 6s, pp. 1000-1006
Open Access
Stock Price Predictions With a Linear Model and Neural Network
Ivan Ma, Odysseas Drosis
Journal of Student Research (2024) Vol. 13, Iss. 1
Open Access
ARTIFICIAL INTELLIGENCE IN FINANCIAL FORECASTING: TECHNIQUES AND APPLICATIONS
Debashree Souvik Jana
ShodhKosh Journal of Visual and Performing Arts (2024) Vol. 5, Iss. 6
Closed Access
Unleashing the Power of AI for Intelligent Investments
N. Nethravathi, C. Samanvitha, H. Dharmendra, et al.
Advances in computational intelligence and robotics book series (2024), pp. 533-552
Closed Access
Applying AI Models for Stock Investment Decisions
Diya Shiburam
Open Journal of Applied Sciences (2024) Vol. 14, Iss. 11, pp. 3061-3068
Open Access
A Machine Learning-Based Trading Strategy Integrating Technical Analysis and Multi-agent Simulation
Zakia Zouaghia, Zahra Kodia, Lamjed Ben Saïd
Lecture notes in computer science (2024), pp. 302-313
Closed Access
A Performance Analysis of Machine Learning Algorithms in Stock Market Prediction, Compared to Traditional Indicators
Mohammed Bouasabah
Lecture notes in information systems and organisation (2024), pp. 264-271
Closed Access
A survey paper on the application of artificial intelligence in stock market analysis
Kajal Dakhare, Vidhi Wankhede, S. D. Nimbalkar
AIP conference proceedings (2024) Vol. 3188, pp. 080028-080028
Closed Access
Data Processing and Feature Engineering for Stock Price Trend Prediction
Nguyen Thi Huyen Chau, Trung Phong Doan
Studies in systems, decision and control (2024), pp. 183-197
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
Market Prediction as a Task for AGI Agents
James Oswald
Lecture notes in computer science (2023), pp. 332-342
Closed Access | Times Cited: 1
Predict Market Fluctuations Based on the TSI and the Sentiment of Financial Video News Sites via Machine Learning
Faten Alzazah, Xiaochun Cheng, Xiaohong Gao
(2023), pp. 302-308
Closed Access | Times Cited: 1
An Exploratory Comparison of Stock Prices Prediction using Multiple Machine Learning Approaches based on Hong Kong Share Market
Chin Yang Lin, João Alexandre Lôbo Marques
(2023), pp. 311-316
Closed Access | Times Cited: 1
Precise Forecasting of Stock Market Pricing Using Weighted Ensemble Machine Learning Method
Umesh Kumar Lilhore, Sarita Simaiya, Advin Manhar, et al.
Lecture notes in electrical engineering (2022), pp. 637-647
Closed Access | Times Cited: 2
Recent Developments in the Application of Deep Learning to Stock Market Prediction
Shraddha Jain Sharma, Ratnalata Gupta
Algorithms for intelligent systems (2023), pp. 213-226
Closed Access
A Review of Trends and Challenges in Adopting AI Models Through Cross-Lingual Transfer Learning Via Sentiment Analysis
Wael Jefry, Firas Al-Doghman, Farookh Khadeer Hussain
(2023)
Closed Access
Enhancing Stock Market Forecasting Using Recursive Time Series Decomposition Techniques
A. Bareket, Bazil Pârv
Journal of Machine Intelligence and Data Science (2023) Vol. 4
Open Access
An Efficient Approach to Forecasting the NIFTY-50 Indian Stock Market's Daily Closing Price with Artificial Neural Networks
Et al. Kuljinder Singh Bumrah
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 11, pp. 289-298
Open Access
Predictive Precision: LSTM-Based Analytics for Real-time Stock Market Visualization
Vijayalakshmi Saravanan, Acharya Pramod, Laxman Poudel, et al.
2021 IEEE International Conference on Big Data (Big Data) (2023), pp. 1-6
Closed Access
Improving Petroleum Real Options Calculation by the Application of Quantum Artificial Intelligence.
Heru Setyabudi, Iman Herwidiana Kartowisastro, Agung Trisetyarso, et al.
Day 3 Tue, November 30, 2021 (2022)
Closed Access
Stock Market Prediction Using Hard and Soft Data Fusion
Saeed Mohammadi Dashtaki, Masoud Alizadeh, Behzad Moshiri
(2022) Vol. 8, pp. 1-7
Closed Access
Applicability of the kNN Algorithm in the Problem of Pattern Classification on Time Series of Financial Markets
Ivan Makarov, Maria Kovaleva, Zakharova Ekaterina, et al.
(2021), pp. 1-5
Closed Access
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