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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:

Integration of genetic algorithm with artificial neural network for stock market forecasting
Dinesh K. Sharma, H. S. Hota, Kate Brown, et al.
International Journal of Systems Assurance Engineering and Management (2021) Vol. 13, Iss. S2, pp. 828-841
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Information granules-based long-term forecasting of time series via BPNN under three-way decision framework
Chenglong Zhu, Xueling Ma, Chao Zhang, et al.
Information Sciences (2023) Vol. 634, pp. 696-715
Closed Access | Times Cited: 45
Human activity recognition from sensor data using spatial attention-aided CNN with genetic algorithm
Apu Sarkar, Sabbir Hossain, Ram Sarkar
Neural Computing and Applications (2022) Vol. 35, Iss. 7, pp. 5165-5191
Open Access | Times Cited: 57
Information fusion-based genetic algorithm with long short-term memory for stock price and trend prediction
Ankit Thakkar, Kinjal Chaudhari
Applied Soft Computing (2022) Vol. 128, pp. 109428-109428
Closed Access | Times Cited: 30
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
Profit prediction optimization using financial accounting information system by optimized DLSTM
Wei Tang, Shuili Yang, Mohammad Khishe
Heliyon (2023) Vol. 9, Iss. 9, pp. e19431-e19431
Open Access | Times Cited: 16
Intelligent support in manufacturing process selection based on artificial neural networks, fuzzy logic, and genetic algorithms: Current state and future perspectives
Fredrick Mumali, Joanna Kałkowska
Computers & Industrial Engineering (2024) Vol. 193, pp. 110272-110272
Closed Access | Times Cited: 7
Mapping stock market dynamics: A tripartite neural network approach using modified grid search for stock market prediction
Sachin Singh, Mohinder Singh, Shradha Attri
Expert Systems with Applications (2025), pp. 127243-127243
Closed Access
Using Social Network Sentiment Analysis and Genetic Algorithm to Improve the Stock Prediction Accuracy of the Deep Learning-Based Approach
Jia‐Yen Huang, Chun-Liang Tung, Weizhen Lin
International Journal of Computational Intelligence Systems (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 10
Regional analytics and forecasting for most affected stock markets: The case of GCC stock markets during COVID-19 pandemic
Khalid Al‐Khatib, Mothanna Almahmood, Omar N. Elayan, et al.
International Journal of Systems Assurance Engineering and Management (2021) Vol. 13, Iss. 3, pp. 1298-1308
Closed Access | Times Cited: 18
Improving multilayer perceptron neural network using two enhanced moth-flame optimizers to forecast iron ore prices
Iyad Abu Doush, Basem H.A. Ahmed, Mohammed A. Awadallah, et al.
Journal of Intelligent Systems (2024) Vol. 33, Iss. 1
Open Access | Times Cited: 2
Artificial neural network training using a multi selection artificial algae algorithm
Murat Karakoyun
Engineering Science and Technology an International Journal (2024) Vol. 53, pp. 101684-101684
Open Access | Times Cited: 2
Financial market trend prediction model based on LSTM neural network algorithm
Peilin Dong, Xiaoyu Wang, Zhouhao Shi
Journal of Computational Methods in Sciences and Engineering (2024) Vol. 24, Iss. 2, pp. 745-755
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
Predictive Hybridization Model integrating Modified Genetic Algorithm (MGA) and C4.5
James Cloyd M. Bustillo, Ruji P. Medina, Ariel M. Sison, et al.
2022 6th International Conference on Electronics, Communication and Aerospace Technology (2022), pp. 1500-1507
Closed Access | Times Cited: 11
Data Driven Artificial Neural Network LSTM Hybrid Predictive Model Applied for International Stock Index Prediction
Ashkan Safari
(2022), pp. 115-120
Closed Access | Times Cited: 9
Neuro-Evolutionary Framework for Design Optimization of Two-Phase Transducer with Genetic Algorithms
Aneela Zameer, Sidra Naz, Muhammad Asif Zahoor Raja, et al.
Micromachines (2023) Vol. 14, Iss. 9, pp. 1677-1677
Open Access | Times Cited: 4
Wavelet decomposition-based multi-stage feature engineering and optimized ensemble classifier for stock market prediction
Satya Verma, Satya Prakash Sahu, Tirath Prasad Sahu
The Engineering Economist (2024) Vol. 69, Iss. 3, pp. 213-238
Closed Access | Times Cited: 1
The role of algorithmic trading in the strengthening of financial markets
Tejinder Singh, Mahendra Pandey, Vikas Sharma, et al.
AIP conference proceedings (2024)
Open Access | Times Cited: 1
A Predictive Model of the Stock Market Using the LSTM Algorithm with a Combination of Exponential Moving Average (EMA) and Relative Strength Index (RSI) Indicators
Rahul Maruti Dhokane, Sohit Agarwal
Journal of The Institution of Engineers (India) Series B (2024)
Closed Access | Times Cited: 1
Hydropower Plant Available Energy Forecasting Using Artificial Neural Network and Particle Swarm Optimization
Suriya Kaewarsa, Vanhkham Kongpaseuth
(2024)
Open Access | Times Cited: 1
Impact of Genetic Algorithm for the Diagnosis of Breast Cancer: Literature Review
Abebe Alemu Balcha, Samuel Alemu Woldie
Advances in Infectious Diseases (2023) Vol. 13, Iss. 01, pp. 41-46
Open Access | Times Cited: 4
Stock market prediction, COVID-19 pandemic and neural networks: an SCG algorithm application
Himanshu Goel, Bhupender Kumar Som
EconomiA (2023) Vol. 24, Iss. 1, pp. 134-146
Open Access | Times Cited: 3
Techniques for Stock Market Prediction: A Review
Rachna Sable, Shivani Goel, Pradeep Chatterjee
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 5s, pp. 381-402
Open Access | Times Cited: 3
Stock Market Forecasting Based on Spatiotemporal Deep Learning
Yung-Chen Li, Hsiao‐Yun Huang, Nan‐Ping Yang, et al.
Entropy (2023) Vol. 25, Iss. 9, pp. 1326-1326
Open Access | Times Cited: 3
Explicit Neural Network-Based Models for Bubble Point Pressure and Formation Volume Factor Prediction
Anietie N. Okon, Augustine James Effiong, Deborah David Daniel
Arabian Journal for Science and Engineering (2022) Vol. 48, Iss. 7, pp. 9221-9257
Closed Access | Times Cited: 5
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