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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:

Application of evolutionary computation for rule discovery in stock algorithmic trading: A literature review
Yong Hu, Kang Liu, Xiangzhou Zhang, et al.
Applied Soft Computing (2015) Vol. 36, pp. 534-551
Closed Access | Times Cited: 178

Showing 1-25 of 178 citing articles:

Financial time series forecasting with deep learning : A systematic literature review: 2005–2019
Ömer Berat Sezer, Mehmet Ugur Gudelek, Ahmet Murat Özbayoğlu
Applied Soft Computing (2020) Vol. 90, pp. 106181-106181
Open Access | Times Cited: 912
CNNpred: CNN-based stock market prediction using a diverse set of variables
Ehsan Hoseinzade, Saman Haratizadeh
Expert Systems with Applications (2019) Vol. 129, pp. 273-285
Closed Access | Times Cited: 450
Stock Market Analysis: A Review and Taxonomy of Prediction Techniques
Dev Shah, Haruna Isah, Farhana Zulkernine
International Journal of Financial Studies (2019) Vol. 7, Iss. 2, pp. 26-26
Open Access | Times Cited: 383
Deep learning for financial applications : A survey
Ahmet Murat Özbayoğlu, Mehmet Ugur Gudelek, Ömer Berat Sezer
Applied Soft Computing (2020) Vol. 93, pp. 106384-106384
Open Access | Times Cited: 370
The most used MPPT algorithms: Review and the suitable low-cost embedded board for each algorithm
Saad Motahhir, Aboubakr El Hammoumi, Abdelaziz El Ghzizal
Journal of Cleaner Production (2019) Vol. 246, pp. 118983-118983
Closed Access | Times Cited: 309
A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction
Jing Nan, Zhao Wu, Hefei Wang
Expert Systems with Applications (2021) Vol. 178, pp. 115019-115019
Closed Access | Times Cited: 230
Improving financial trading decisions using deep Q-learning: Predicting the number of shares, action strategies, and transfer learning
Gyeeun Jeong, Ha Young Kim
Expert Systems with Applications (2018) Vol. 117, pp. 125-138
Closed Access | Times Cited: 187
AI in Finance: Challenges, Techniques, and Opportunities
Longbing Cao
ACM Computing Surveys (2022) Vol. 55, Iss. 3, pp. 1-38
Closed Access | Times Cited: 156
AdPSO: Adaptive PSO-Based Task Scheduling Approach for Cloud Computing
Said Nabi, Masroor Ahmad, Muhammad Ibrahim, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 920-920
Open Access | Times Cited: 89
Intuitionistic fuzzy TOPSIS-based optimization of microcups production from directionally rolled copper strips for sustainability
S.P. Sundar Singh Sivam, N. Harshavardhana, Durai Kumaran
Multiscale and Multidisciplinary Modeling Experiments and Design (2024)
Closed Access | Times Cited: 23
Parameters identification of photovoltaic cell models using enhanced exploratory salp chains-based approach
Abdelkader Abbassi, Rabeh Abbassi, Ali Asghar Heidari, et al.
Energy (2020) Vol. 198, pp. 117333-117333
Closed Access | Times Cited: 125
A new heuristic computational solver for nonlinear singular Thomas–Fermi system using evolutionary optimized cubic splines
Siraj Ahmad, Fawad Faisal, Muhammad Shoaib, et al.
The European Physical Journal Plus (2020) Vol. 135, Iss. 1
Closed Access | Times Cited: 91
A dynamic trading rule based on filtered flag pattern recognition for stock market price forecasting
Rubén V. Arévalo, Jorge García, Francisco Guijarro, et al.
Expert Systems with Applications (2017) Vol. 81, pp. 177-192
Open Access | Times Cited: 87
A biological perspective on evolutionary computation
Risto Miikkulainen, Stephanie Forrest
Nature Machine Intelligence (2021) Vol. 3, Iss. 1, pp. 9-15
Closed Access | Times Cited: 74
Integrating economic load dispatch information into the blockchain smart contracts based on the fractional-order swarming optimizer
Babar Sattar Khan, Affaq Qamar, Wadood Abdul, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 8
News-based trading strategies
Stefan Feuerriegel, Helmut Prendinger
Decision Support Systems (2016) Vol. 90, pp. 65-74
Open Access | Times Cited: 85
Long-term stock index forecasting based on text mining of regulatory disclosures
Stefan Feuerriegel, Julius Gordon
Decision Support Systems (2018) Vol. 112, pp. 88-97
Open Access | Times Cited: 75
Hybrid bio-Inspired computational intelligence techniques for solving power system optimization problems: A comprehensive survey
Imran Rahman, Junita Mohamad–Saleh
Applied Soft Computing (2018) Vol. 69, pp. 72-130
Closed Access | Times Cited: 62
AI in Finance: A Review
Longbing Cao
SSRN Electronic Journal (2020)
Closed Access | Times Cited: 60
A stock selection algorithm hybridizing grey wolf optimizer and support vector regression
Meng Liu, Kaiping Luo, Junhuan Zhang, et al.
Expert Systems with Applications (2021) Vol. 179, pp. 115078-115078
Closed Access | Times Cited: 53
Machine Learning for Stock Prediction Based on Fundamental Analysis
Yuxuan Huang, Luiz Fernando Capretz, Danny Ho
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2021), pp. 01-10
Open Access | Times Cited: 44
A Comprehensive Survey on Higher Order Neural Networks and Evolutionary Optimization Learning Algorithms in Financial Time Series Forecasting
Sudersan Behera, Sarat Chandra Nayak, A. V. S. Pavan Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4401-4448
Closed Access | Times Cited: 18
Analyzing the impact of algorithmic trading on stock market behavior: A comprehensive review
Lawrence Damilare Oyeniyi, Chinonye Esther Ugochukwu, Noluthando Zamanjomane Mhlongo
World Journal of Advanced Engineering Technology and Sciences (2024) Vol. 11, Iss. 2, pp. 437-453
Open Access | Times Cited: 6
Assessing the intention to adopt computational intelligence in interactive marketing
Rajat Kumar Behera, Pradip Kumar Bala, Nripendra P. Rana
Journal of Retailing and Consumer Services (2024) Vol. 78, pp. 103765-103765
Closed Access | Times Cited: 5
RLPortfolio: Reinforcement Learning for Financial Portfolio Optimization
Caio de Souza Barbosa Costa, Anna Helena Reali Costa
Lecture notes in computer science (2025), pp. 412-426
Closed Access
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