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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:

LSTM-based Deep Learning Model for Stock Prediction and Predictive Optimization Model
Akhter Mohiuddin Rather
EURO Journal on Decision Processes (2021) Vol. 9, pp. 100001-100001
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Financial applications of machine learning: A literature review
Noella Nazareth, Y.V. Reddy
Expert Systems with Applications (2023) Vol. 219, pp. 119640-119640
Closed Access | Times Cited: 107
Big data analytics deep learning techniques and applications: A survey
Hend A. Selmy, Hoda K. Mohamed, Walaa Medhat
Information Systems (2023) Vol. 120, pp. 102318-102318
Closed Access | Times Cited: 19
Progress and prospects of data-driven stock price forecasting research
Chuanjun Zhao, Meiling Wu, Jingfeng Liu, et al.
International Journal of Cognitive Computing in Engineering (2023) Vol. 4, pp. 100-108
Open Access | Times Cited: 15
A Study of Optimization in Deep Neural Networks for Regression
Chieh-Huang Chen, Jung-Pin Lai, Yu-Ming Chang, et al.
Electronics (2023) Vol. 12, Iss. 14, pp. 3071-3071
Open Access | Times Cited: 15
Enhancing portfolio management using artificial intelligence: literature review
Kristina Šutienė, Peter Schwendner, Ciprian Șipoș, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 4
DeepStockPro: Leveraging Deep Learning for Enhanced Stock Price Prediction
M. Hemachandiran, R. Priyadharshan, V. Vani, et al.
Smart innovation, systems and technologies (2025), pp. 289-298
Closed Access
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
Effects of wind speed and wind direction on crop yield forecasting using dynamic time warping and an ensembled learning model
Bright Bediako-Kyeremeh, Tinghuai Ma, Huan Rong, et al.
PeerJ (2024) Vol. 12, pp. e16538-e16538
Open Access | Times Cited: 2
Can hybrid model improve the forecasting performance of stock price index amid COVID-19? Contextual evidence from the MEEMD-LSTM-MLP approach
Qu Yang, Yuanyuan Yu, D Dai, et al.
The North American Journal of Economics and Finance (2024) Vol. 74, pp. 102252-102252
Closed Access | Times Cited: 2
New drugs and stock market: a machine learning framework for predicting pharma market reaction to clinical trial announcements
Semen Budennyy, Alexey Kazakov, Elizaveta Kovtun, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
A Robust Voice Pathology Detection System Based on the Combined BiLSTM–CNN Architecture
Rimah Amami, Rim Amami, Chiraz Trabelsi, et al.
MENDEL (2023) Vol. 29, Iss. 2, pp. 202-210
Open Access | Times Cited: 5
A new method of ensemble learning: case of cryptocurrency price prediction
Akhter Mohiuddin Rather
Knowledge and Information Systems (2022) Vol. 65, Iss. 3, pp. 1179-1197
Closed Access | Times Cited: 8
Prediction of Course Grades in Computer Science Higher Education Program via a Combination of Loss Functions in LSTM Model
Anahita Ghazvini, Nurfadhlina Mohd Sharef, Fatimah Sidi
IEEE Access (2024) Vol. 12, pp. 30220-30241
Open Access | Times Cited: 1
An Analytical Comparison of the Behavior of Machine Learning and Deep Learning in Stock Market Prediction
Hasanen S. Abdullah, Nada Hussain Ali, Ammar Hussein Jassim, et al.
Baghdad Science Journal (2024)
Open Access | Times Cited: 1
Predictive Analytics for Brick Production Using LSTM and Norton-Bass
Yen-Kun Lin, Shan-Hung Wu, Yuan-Ding Hu, et al.
(2024), pp. 587-592
Closed Access | Times Cited: 1
Predictive Patterns and Market Efficiency: A Deep Learning Approach to Financial Time Series Forecasting
Darko Vuković, Sonja Radenković, Ivana Simeunović, et al.
Mathematics (2024) Vol. 12, Iss. 19, pp. 3066-3066
Open Access | Times Cited: 1
An Approach for a Multi-Period Portfolio Selection Problem by considering Transaction Costs and Prediction on the Stock Market
Luis Aburto, Rodrigo Romero-Romero, Rodrigo Linfati, et al.
Complexity (2023) Vol. 2023, pp. 1-15
Open Access | Times Cited: 3
Analysis of the performance of predictive models during Covid-19 and the Russian-Ukrainian war
László Vancsura, Tibor Bareith
Pénzügyi Szemle = Public Finance Quarterly (2023) Vol. 69, Iss. 2
Open Access | Times Cited: 3
IASMFT: intelligent agent simulation model for future trading
S. S. S. N. Usha Devi N., R. Mohan
International Journal of Information Technology (2023)
Closed Access | Times Cited: 3
Stock Price Prediction using Depthwise Pointwise CNN with Sequential LSTM
Ashish Rajanand, Pradeep Singh
(2023), pp. 82-86
Closed Access | Times Cited: 2
The Impact of the COVID-19 Pandemic on Stock Market Performance in G20 Countries: Evidence from Long Short-Term Memory with a Recurrent Neural Network Approach
Pingkan Mayosi Fitriana, Jumadil Saputra, Zairihan Abdul Halim
Big Data (2023)
Closed Access | Times Cited: 2
Comparative Analysis of Machine Learning Models for Stock Price Prediction: Leveraging LSTM for Real-Time Forecasting
Bijay Gautam, Sanif Kandel, Manoj Shrestha, et al.
Journal of Computer and Communications (2024) Vol. 12, Iss. 08, pp. 52-80
Open Access
Transforming Finance With Deep Learning Predictions
Ashy Sebastian, Veerta Tantia
Advances in finance, accounting, and economics book series (2024), pp. 227-252
Closed Access
Stock Price Prediction using Bi-directional Long-Short Term Memory based Deep Neural Network
M Sowmya, Mohammed Al-Farouni, Naresh Kumar Reddy Panga, et al.
(2024), pp. 1-4
Closed Access
Stock Market Prediction Techniques and Artificial Intelligence
Jeevesh Sharma
(2024), pp. 161-183
Closed Access
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