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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 Novel Hybrid Model for Stock Price Forecasting Based on Metaheuristics and Support Vector Machine
Mojtaba Sedighi, Hossein Jahangirnia, Mohsen Gharakhani, et al.
Data (2019) Vol. 4, Iss. 2, pp. 75-75
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Machine learning techniques and data for stock market forecasting: A literature review
Mahinda Mailagaha Kumbure, Christoph Lohrmann, Pasi Luukka, et al.
Expert Systems with Applications (2022) Vol. 197, pp. 116659-116659
Open Access | Times Cited: 301
Stock Market Prediction Using Machine Learning Techniques: A Decade Survey on Methodologies, Recent Developments, and Future Directions
Nusrat Rouf, Majid Bashir Malik, Tasleem Arif, et al.
Electronics (2021) Vol. 10, Iss. 21, pp. 2717-2717
Open Access | Times Cited: 163
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: 92
A Hybrid Stock Price Prediction Model Based on PRE and Deep Neural Network
Srivinay Srivinay, B. C. Manujakshi, Mohan G. Kabadi, et al.
Data (2022) Vol. 7, Iss. 5, pp. 51-51
Open Access | Times Cited: 37
An efficient equilibrium optimizer with support vector regression for stock market prediction
Essam H. Houssein, Mahmoud Dirar, Laith Abualigah, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 4, pp. 3165-3200
Closed Access | Times Cited: 51
A novel metaheuristics with adaptive neuro-fuzzy inference system for decision making on autonomous unmanned aerial vehicle systems
Mahmoud Ragab, Ehab Bahaudien Ashary, Wajdi Aljedaibi, et al.
ISA Transactions (2022) Vol. 132, pp. 16-23
Open Access | Times Cited: 29
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: 20
A Multi-Output Ensemble Learning Approach for Multi-Day Ahead Index Price Forecasting
Kartik Sahoo, Manoj Thakur
AppliedMath (2025) Vol. 5, Iss. 1, pp. 6-6
Open Access
Stock market optimization amidst the COVID-19 pandemic: Technical analysis, K-means algorithm, and mean-variance model (TAKMV) approach
Maricar M. Navarro, Michael Nayat Young, Yogi Tri Prasetyo, et al.
Heliyon (2023) Vol. 9, Iss. 7, pp. e17577-e17577
Open Access | Times Cited: 14
ADVANCED PREDICTIVE ANALYTICS FOR COMPREHENSIVE RISK ASSESSMENT IN FINANCIAL MARKETS: STRATEGIC APPLICATIONS AND SECTOR-WIDE IMPLICATIONS
Janifer Nahar, Md. Shakawat Hossain, Md Mostafizur Rahman, et al.
Deleted Journal (2024) Vol. 3, Iss. 4, pp. 39-53
Open Access | Times Cited: 4
A Novel Bayesian Model Enhanced with Heuristic Likelihood Estimation for the Prediction of Stock Price Trend
Van Vo, Bor-Shen Lin
Computational Economics (2025)
Open Access
Two-Stage Hybrid Feature Selection Approach Using Levy’s Flight Based Chicken Swarm Optimization for Stock Market Forecasting
Satya Verma, Satya Prakash Sahu, Tirath Prasad Sahu
Computational Economics (2023) Vol. 63, Iss. 6, pp. 2193-2224
Closed Access | Times Cited: 8
Reducing Manual Effort to Label Stock Market Data by Applying a Metaheuristic Search: A Case Study From the Saudi Stock Market
Mohammad Alsulmi
IEEE Access (2021) Vol. 9, pp. 110493-110504
Open Access | Times Cited: 15
A graph-based big data optimization approach using hidden Markov model and constraint satisfaction problem
Imad Sassi, Samir Anter, Abdelkrim Bekkhoucha
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 13
A New Hybrid Model of Fuzzy Time Series and Genetic Algorithm Based Machine Learning Algorithm: A Case Study of Forecasting Prices of Nine Types of Major Cryptocurrencies
Shio Gai Quek, Ganeshsree Selvachandran, Jun Hao Tan, et al.
Big Data Research (2022) Vol. 28, pp. 100315-100315
Closed Access | Times Cited: 9
Parallel Metaheuristic Algorithms for Solving Imbalanced Data Classification Problems
Mohammed Alweshah, Muder Almiani, Saleh Alkhalaileh, et al.
IEEE Access (2023) Vol. 11, pp. 114443-114458
Open Access | Times Cited: 5
Stock market forecasting using DRAGAN and feature matching
Fateme Shahabi Nejad, Mohammad Mehdi Ebadzadeh
Expert Systems with Applications (2023) Vol. 244, pp. 122952-122952
Open Access | Times Cited: 5
Metaheuristic enabled intelligent model for stock market prediction via integrating volatility spillover: India and its Asian and European counterparts
Deepak Kumar Tripathi, Saurabh Chadha, Ankita Tripathi
Data & Knowledge Engineering (2022) Vol. 144, pp. 102127-102127
Closed Access | Times Cited: 8
Stock Market Predictions Using Deep Learning
Renuka Sharma, Kiran Mehta
(2024), pp. 89-121
Closed Access | Times Cited: 1
Adaptive Model Selection in Stock Market Prediction: A Modular and Scalable Big Data Analytics Approach
MohammadEhsan Akhavanpour, Saeed Samet
International Journal of Computer Theory and Engineering (2024) Vol. 16, Iss. 2, pp. 44-54
Open Access | Times Cited: 1
Enhancing Trading Strategies: A Multi-indicator Analysis for Profitable Algorithmic Trading
Narongsak Sukma, Chakkrit Snae Namahoot
Computational Economics (2024)
Closed Access | Times Cited: 1
A new approach to forecasting Islamic and conventional oil and gas stock prices
حسن حیدری, Oluwasegun B. Adekoya, Muhammad Mahdi Rashidi, et al.
International Review of Economics & Finance (2024) Vol. 96, pp. 103513-103513
Closed Access | Times Cited: 1
A job scheduling algorithm based on rock hyrax optimization in cloud computing
Saurabh Singhal, Ashish Sharma
Computing (2021) Vol. 103, Iss. 9, pp. 2115-2142
Closed Access | Times Cited: 10
Application and performance of data mining techniques in stock market: A review
Jasleen Kaur, Khushdeep Dharni
Intelligent Systems in Accounting Finance & Management (2022) Vol. 29, Iss. 4, pp. 219-241
Closed Access | Times Cited: 7
The Nexus between Stock Returns of Oil Companies and Oil Price Fluctuations after Heavy Oil Upgrading: Toward Theoretical Progress
Mojtaba Sedighi, Majid Mohammadi, Saeed Farahani Fard, et al.
Economies (2019) Vol. 7, Iss. 3, pp. 71-71
Open Access | Times Cited: 10
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