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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:

Enhanced Prediction of Intra-day Stock Market Using Metaheuristic Optimization on RNN–LSTM Network
Krishna Kumar, Md. Tanwir Uddin Haider
New Generation Computing (2020) Vol. 39, Iss. 1, pp. 231-272
Closed Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review
Mehrdad Kaveh, Mohammad Saadi Mesgari
Neural Processing Letters (2022) Vol. 55, Iss. 4, pp. 4519-4622
Open Access | Times Cited: 120
Stock price prediction with optimized deep LSTM network with artificial rabbits optimization algorithm
Burak Gülmez
Expert Systems with Applications (2023) Vol. 227, pp. 120346-120346
Open Access | Times Cited: 120
Survey of feature selection and extraction techniques for stock market prediction
Htet Htet Htun, Michael Biehl, Nicolai Petkov
Financial Innovation (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 102
A Survey on the Optimization of Artificial Neural Networks Using Swarm Intelligence Algorithms
Bibi Aamirah Shafaa Emambocus, Muhammed Basheer Jasser, Angela Amphawan
IEEE Access (2023) Vol. 11, pp. 1280-1294
Open Access | Times Cited: 40
A New Hybrid Based on Long Short-Term Memory Network with Spotted Hyena Optimization Algorithm for Multi-Label Text Classification
Hamed Khataei Maragheh, Farhad Soleimanian Gharehchopogh, Kambiz Majidzadeh, et al.
Mathematics (2022) Vol. 10, Iss. 3, pp. 488-488
Open Access | Times Cited: 59
Stock exchange trading optimization algorithm: a human-inspired method for global optimization
Hojjat Emami
The Journal of Supercomputing (2021) Vol. 78, Iss. 2, pp. 2125-2174
Open Access | Times Cited: 57
Forecasting long-term stock prices of global indices: A forward-validating Genetic Algorithm optimization approach for Support Vector Regression
Mohit Beniwal, Archana Singh, Nand Kumar
Applied Soft Computing (2023) Vol. 145, pp. 110566-110566
Closed Access | Times Cited: 38
Deep LSTM and LSTM-Attention Q-learning based reinforcement learning in oil and gas sector prediction
David Opeoluwa Oyewola, Sulaiman Awwal Akinwunmi, Temidayo Oluwatosin Omotehinwa
Knowledge-Based Systems (2023) Vol. 284, pp. 111290-111290
Open Access | Times Cited: 23
Data-driven stock forecasting models based on neural networks: A review
Wuzhida Bao, Yuting Cao, Yin Yang, et al.
Information Fusion (2024) Vol. 113, pp. 102616-102616
Open Access | Times Cited: 8
A multi-feature stock price prediction model based on multi-feature calculation, LASSO feature selection, and Ca-LSTM network
Xiao Dong Chen, Lei Cao, Zhi Cao, et al.
Connection Science (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 6
Forecasting solar-thermal systems performance under transient operation using a data-driven machine learning approach based on the deep operator network architecture
Julián D. Osorio, Zhicheng Wang, George Em Karniadakis, et al.
Energy Conversion and Management (2021) Vol. 252, pp. 115063-115063
Open Access | Times Cited: 40
Application of CNN and Long Short-Term Memory Network in Water Quality Predicting
Wenwu Tan, Jianjun Zhang, Jiang Wu, et al.
Intelligent Automation & Soft Computing (2022) Vol. 34, Iss. 3, pp. 1943-1958
Open Access | Times Cited: 23
Stacked BI-LSTM and E-Optimized CNN-A Hybrid Deep Learning Model for Stock Price Prediction
Swarnalata Rath, Nilima R. Das, Binod Kumar Pattanayak
Optical Memory and Neural Networks (2024) Vol. 33, Iss. 2, pp. 102-120
Closed Access | Times Cited: 4
Enhancing stock index prediction: A hybrid LSTM-PSO model for improved forecasting accuracy
Xiaohua Zeng, Changzhou Liang, Qian Yang, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0310296-e0310296
Open Access
Optimization of Stock Predictions on Indonesia Stock Exchange: A New Hybrid Deep Learning Method
B. Yudi Dwiandiyanta, Rudy Hartanto, Ridi Ferdiana
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 1, pp. 19370-19379
Open Access
Portfolio optimization and return prediction by integrating modified deep belief network and recurrent neural network
Meeta Sharma, Hardayal Singh Shekhawat
Knowledge-Based Systems (2022) Vol. 250, pp. 109024-109024
Closed Access | Times Cited: 19
Strength Investigation and Prediction of Superfine Tailings Cemented Paste Backfill Based on Experiments and Intelligent Methods
Yafei Hu, Keqing Li, Bo Zhang, et al.
Materials (2023) Vol. 16, Iss. 11, pp. 3995-3995
Open Access | Times Cited: 11
Forecasting multistep daily stock prices for long-term investment decisions: A study of deep learning models on global indices
Mohit Beniwal, Archana Singh, Nand Kumar
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107617-107617
Closed Access | Times Cited: 10
Deep prediction on financial market sequence for enhancing economic policies
Soheil Salahshour, Mehdi Salimi, Kian Tehranian, et al.
Decisions in Economics and Finance (2024)
Closed Access | Times Cited: 3
Strength prediction and application of cemented paste backfill based on machine learning and strength correction
Bo Zhang, Keqing Li, Siqi Zhang, et al.
Heliyon (2022) Vol. 8, Iss. 8, pp. e10338-e10338
Open Access | Times Cited: 15
An Improved Bees Algorithm for Training Deep Recurrent Networks for Sentiment Classification
Sultan Zeybek, Duc Truong Pham, Ebubekir Koç, et al.
Symmetry (2021) Vol. 13, Iss. 8, pp. 1347-1347
Open Access | Times Cited: 18
A Novel Bitcoin and Gold Prices Prediction Method Using an LSTM-P Neural Network Model
Xinchen Zhang, Linghao Zhang, Qincheng Zhou, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 12
Forex market forecasting with two-layer stacked Long Short-Term Memory neural network (LSTM) and correlation analysis
Michael Ayitey, Peter Appiahene, Obed Appiah
Journal of Electrical Systems and Information Technology (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 12
Digital technologies in the accounting information system supporting decision-making processes
Honorata Balicka
Scientific Papers of Silesian University of Technology Organization and Management Series (2023) Vol. 2023, Iss. 169, pp. 57-89
Open Access | Times Cited: 7
Neural Network-Based Predictive Models for Stock Market Index Forecasting
Karime Chahuán-Jiménez
Journal of risk and financial management (2024) Vol. 17, Iss. 6, pp. 242-242
Open Access | Times Cited: 2
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