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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 Model for Stock Price Prediction Using Hybrid Neural Network
Manas Ranjan Senapati, Sumanjit Das, Sarojananda Mishra
Journal of The Institution of Engineers (India) Series B (2018) Vol. 99, Iss. 6, pp. 555-563
Closed Access | Times Cited: 30

Showing 1-25 of 30 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: 144
Fine-tuned support vector regression model for stock predictions
Ranjan Kumar Dash, Tu N. Nguyen, Korhan Cengiz, et al.
Neural Computing and Applications (2021) Vol. 35, Iss. 32, pp. 23295-23309
Closed Access | Times Cited: 124
Fitting Multi-Layer Feed Forward Neural Network and Autoregressive Integrated Moving Average for Dhaka Stock Exchange Price Predicting
Maksuda Akter Rubi, Shanjida Chowdhury, Abdul Aziz Abdul Rahman, et al.
Emerging Science Journal (2022) Vol. 6, Iss. 5, pp. 1046-1061
Open Access | Times Cited: 41
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: 38
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: 53
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
Hybrid evolutionary intelligent system and hybrid time series econometric model for stock price forecasting
Gourav Kumar, Uday Pratap Singh, Sanjeev Jain
International Journal of Intelligent Systems (2021) Vol. 36, Iss. 9, pp. 4902-4935
Closed Access | Times Cited: 33
A Deep Learning Based Time Series Analysis and Forecasting Using Hybrid Model
Paridhi Singh, G. Saiteja, Manowar Hussain, et al.
Learning and analytics in intelligent systems (2025), pp. 466-475
Closed Access
Elephant herding optimization technique based neural network for cancer prediction
Monalisa Nayak, S.R. Das, Urmila Bhanja, et al.
Informatics in Medicine Unlocked (2020) Vol. 21, pp. 100445-100445
Open Access | Times Cited: 24
Swarm Intelligence Based Hybrid Neural Network Approach for Stock Price Forecasting
Gourav Kumar, Uday Pratap Singh, Sanjeev Jain
Computational Economics (2021) Vol. 60, Iss. 3, pp. 991-1039
Closed Access | Times Cited: 12
Research on economic function data and entrepreneurship analysis based on machine learning and computer interaction platform
Xueling Nie
Journal of Intelligent & Fuzzy Systems (2020) Vol. 39, Iss. 4, pp. 5635-5647
Closed Access | Times Cited: 9
Employing Deep Learning In Intraday Stock Trading
G Taroon, Ayushi Tomar, Chinthakunta Manjunath, et al.
(2020), pp. 209-214
Closed Access | Times Cited: 8
A Bibliometric Review of Stock Market Prediction: Perspective of Emerging Markets
Arjun Remadevi Somanathan, K. R. Suprabha
Applied Computer Systems (2020) Vol. 25, Iss. 2, pp. 77-86
Open Access | Times Cited: 8
Analysis of financial market trend based on autoregressive conditional heteroscedastic model and BP neural network prediction
Xin Zhang
Journal of Intelligent & Fuzzy Systems (2020) Vol. 39, Iss. 4, pp. 5845-5857
Closed Access | Times Cited: 6
A Hybrid Model Integrating Singular Spectrum Analysis and Backpropagation Neural Network for Stock Price Forecasting
Asmaa Y. Fathi, Ihab A. El-Khodary, Muhammad Saafan
Revue d intelligence artificielle (2021) Vol. 35, Iss. 6, pp. 483-488
Open Access | Times Cited: 6
Analysis and Forecast of Stock Price Law Based on ARIMA Model
佳 石
Statistics and Applications (2020) Vol. 09, Iss. 01, pp. 101-114
Closed Access | Times Cited: 5
OPINION AND TECHNICAL INDICATOR BASED OPTIMIZED DEEP LEARNING FOR PREDICTION OF STOCK MARKET
Jaymit B. Pandya, Prof. Udesang K. Jaliya
Indian Journal of Computer Science and Engineering (2021) Vol. 12, Iss. 6, pp. 1860-1874
Open Access | Times Cited: 5
Improving time series forecasting using elephant herd optimization with feature selection methods
Soumya Ranjan Das, Sarojananda Mishra, ManasRanjan Senapati
Journal of Management Analytics (2020) Vol. 8, Iss. 1, pp. 113-133
Closed Access | Times Cited: 4
Artificial Neural Networks for Stock Market Prediction: A Comprehensive Review
Essam H. Houssein, Mahmoud Dirar, Kashif Hussain, et al.
Studies in computational intelligence (2021), pp. 409-444
Closed Access | Times Cited: 4
Real Estate Price Prediction using Data Mining Techniques
Sayar Kumar Dey, Siddhaling Urolagin
2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON) (2021), pp. 1-4
Closed Access | Times Cited: 4
Integrating singular spectrum analysis and nonlinear autoregressive neural network for stock price forecasting
Asmaa Y. Fathi, Ihab A. El-Khodary, Muhammad Saafan
IAES International Journal of Artificial Intelligence (2022) Vol. 11, Iss. 3, pp. 851-851
Open Access | Times Cited: 3
Short-Term Stock Market Price Trend Prediction Using Genetic Algorithm-Enhanced Back Propagation Neural Networks for Traders’ Sustainable and Inclusive Future
Ravi Thirumalaisamy, Velmurugan Ramasamy, Sudarvel Jayaraj, et al.
Studies in systems, decision and control (2024), pp. 581-594
Closed Access
A Fusion of LightGBM, PLSRegression, and ElasticNet Regressors in Advanced Ensemble Stacking for Empowering Predictive Modeling
Sanjay Kumar, Meenakshi Srivastava, Vijay Prakash, et al.
(2024), pp. 1432-1437
Closed Access
Stock Market Price Trend Prediction – A Comprehensive Review
L. Agilandeeswari, R. Srikanth, R. Elamaran, et al.
Lecture notes in networks and systems (2023), pp. 479-491
Closed Access | Times Cited: 1
Improving Time Series Prediction with Deep Belief Network
Soumya Das, Monalisa Nayak, Manas Ranjan Senapati
Journal of The Institution of Engineers (India) Series B (2023) Vol. 104, Iss. 5, pp. 1103-1118
Closed Access | Times Cited: 1
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