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:

A Hybrid Artificial Neural Network with Metaheuristic Algorithms for Predicting Stock Price
Rahim Ghasemiyeh, Reza Moghdani, Shib Sankar Sana
Cybernetics & Systems (2017) Vol. 48, Iss. 4, pp. 365-392
Closed Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

Stock Market Forecasting Using Computational Intelligence: A Survey
Gourav Kumar, Sanjeev Jain, Uday Pratap Singh
Archives of Computational Methods in Engineering (2020) Vol. 28, Iss. 3, pp. 1069-1101
Closed Access | Times Cited: 143
A Novel Hybrid Swarm Optimized Multilayer Neural Network for Spatial Prediction of Flash Floods in Tropical Areas Using Sentinel-1 SAR Imagery and Geospatial Data
Phuong Thao Thi Ngo, Nhat‐Duc Hoang, Biswajeet Pradhan, et al.
Sensors (2018) Vol. 18, Iss. 11, pp. 3704-3704
Open Access | Times Cited: 128
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 Comprehensive Survey on Portfolio Optimization, Stock Price and Trend Prediction Using Particle Swarm Optimization
Ankit Thakkar, Kinjal Chaudhari
Archives of Computational Methods in Engineering (2020) Vol. 28, Iss. 4, pp. 2133-2164
Closed Access | Times Cited: 89
Hybrid meta-heuristic algorithms for a supply chain network considering different carbon emission regulations using big data characteristics
Fariba Goodarzian, Vikas Kumar, Ajith Abraham
Soft Computing (2021) Vol. 25, Iss. 11, pp. 7527-7557
Closed Access | Times Cited: 77
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: 64
A quantum artificial neural network for stock closing price prediction
Ge Liu, Wenping Ma
Information Sciences (2022) Vol. 598, pp. 75-85
Closed Access | Times Cited: 55
Analysis and prediction of diaphragm wall deflection induced by deep braced excavations using finite element method and artificial neural network optimized by metaheuristic algorithms
Weixun Yong, Wengang Zhang, Hoang Nguyen, et al.
Reliability Engineering & System Safety (2022) Vol. 221, pp. 108335-108335
Closed Access | Times Cited: 42
Metaheuristics for rich portfolio optimisation and risk management: Current state and future trends
Jana Doering, Renatas Kizys, Ángel A. Juan, et al.
Operations Research Perspectives (2019) Vol. 6, pp. 100121-100121
Open Access | Times Cited: 74
A Hybrid Metaheuristic Method in Training Artificial Neural Network for Bankruptcy Prediction
Abdollah Ansari, Ibrahim Said Ahmad, Azuraliza Abu Bakar, et al.
IEEE Access (2020) Vol. 8, pp. 176640-176650
Open Access | Times Cited: 54
Statistical learning algorithms for dendritic neuron model artificial neural network based on sine cosine algorithm
Hasan Hüseyin Gül, Erol Eğrioğlu, Eren Baş
Information Sciences (2023) Vol. 629, pp. 398-412
Closed Access | Times Cited: 17
Machine learning configurations for state of charge predictions of Li-ion batteries
Mitchell Rae, M. Ottaviani, Dominika Capková, et al.
Monatshefte für Chemie - Chemical Monthly (2025)
Open Access
Enhanced Evolutionary Feature Selection and Ensemble Method for Cardiovascular Disease Prediction
V. Jothi Prakash, N. Karthikeyan
Interdisciplinary Sciences Computational Life Sciences (2021) Vol. 13, Iss. 3, pp. 389-412
Closed Access | Times Cited: 37
A Comparative Analysis of Business Machine Learning in Making Effective Financial Decisions Using Structural Equation Model (SEM)
A. V. L. N. Sujith, Naila Iqbal Qureshi, Venkata Harshavardhan Reddy Dornadula, et al.
Journal of Food Quality (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 22
Recent development and applications of neutrosophic fuzzy optimization approach
Debasmita Sarkar, Pankaj Kumar Srivastava
International Journal of Systems Assurance Engineering and Management (2024) Vol. 15, Iss. 6, pp. 2042-2066
Closed Access | Times Cited: 4
Container flow forecasting through neural networks based on metaheuristics
Miloš Milenković, Nataša Milosavljević, Nebojša Bojović, et al.
Operational Research (2019) Vol. 21, Iss. 2, pp. 965-997
Open Access | Times Cited: 31
Dynamic modeling for product family evolution combined with artificial neural network based forecasting model: A study of iPhone evolution
Sumana Biswas, Ismail Ali, Ripon K. Chakrabortty, et al.
Technological Forecasting and Social Change (2022) Vol. 178, pp. 121549-121549
Open Access | Times Cited: 16
Feedforward neural network-based augmented salp swarm optimizer for accurate software development cost forecasting
Mohammed Azmi Al‐Betar, Sofian Kassaymeh, Sharif Naser Makhadmeh, et al.
Applied Soft Computing (2023) Vol. 149, pp. 111008-111008
Closed Access | Times Cited: 9
Machine Learning in Finance: A Topic Modeling Approach
Saqib Aziz, Michael Dowling, Helmi Hammami, et al.
SSRN Electronic Journal (2019)
Closed Access | Times Cited: 26
A modified whale optimization algorithm to overcome delayed convergence in artificial neural networks
Rashmi Kushwah, Manika Kaushik, Kashish Chugh
Soft Computing (2021) Vol. 25, Iss. 15, pp. 10275-10286
Closed Access | Times Cited: 22
Modeling Industrial Energy Demand in Relation to Subsector Manufacturing Output and Climate Change: Artificial Neural Network Insights
Yuo-Hsien Shiau, Su‐Fen Yang, Rishan Adha, et al.
Sustainability (2022) Vol. 14, Iss. 5, pp. 2896-2896
Open Access | Times Cited: 14
Comparing SANN and SARIMA for forecasting frequency of monthly rainfall in Umuahia
Chukwudike C. Nwokike, Bright C. Offorha, Obubu Maxwell, et al.
Scientific African (2020) Vol. 10, pp. e00621-e00621
Open Access | Times Cited: 21
Dynamic prediction of Indian stock market: an artificial neural network approach
Himanshu Goel, Narinder Pal Singh
International Journal of Ethics and Systems (2021) Vol. 38, Iss. 1, pp. 35-46
Closed Access | Times Cited: 18
The effect of bank artificial intelligence on consumer purchase intentions
Barış Armutçu, Ahmet Tan, Shirie Pui Shan Ho, et al.
Kybernetes (2024)
Closed Access | Times Cited: 2
Applicability of genetic algorithms for stock market prediction: A systematic survey of the last decade
Ankit Thakkar, Kinjal Chaudhari
Computer Science Review (2024) Vol. 53, pp. 100652-100652
Closed Access | Times Cited: 2
Page 1 - Next Page

Scroll to top