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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:

An ensemble of a boosted hybrid of deep learning models and technical analysis for forecasting stock prices
Amadu Fullah Kamara, Enhong Chen, Zhen Pan
Information Sciences (2022) Vol. 594, pp. 1-19
Closed Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

Shield attitude prediction based on Bayesian-LGBM machine learning
Hongyu Chen, Xinyi Li, Zongbao Feng, et al.
Information Sciences (2023) Vol. 632, pp. 105-129
Closed Access | Times Cited: 84
Advanced predictive control for GRU and LSTM networks
Krzysztof Zarzycki, Maciej Ławryńczuk
Information Sciences (2022) Vol. 616, pp. 229-254
Open Access | Times Cited: 80
Multi-step-ahead stock price index forecasting using long short-term memory model with multivariate empirical mode decomposition
Changrui Deng, Yanmei Huang, Najmul Hasan, et al.
Information Sciences (2022) Vol. 607, pp. 297-321
Closed Access | Times Cited: 77
A novel strongly-typed Genetic Programming algorithm for combining sentiment and technical analysis for algorithmic trading
Evangelia Christodoulaki, Michael Kampouridis, Maria Kyropoulou
Knowledge-Based Systems (2025), pp. 113054-113054
Closed Access | Times Cited: 2
Intelligent forecasting model of stock price using neighborhood rough set and multivariate empirical mode decomposition
Juncheng Bai, Jianfeng Guo, Bingzhen Sun, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106106-106106
Closed Access | Times Cited: 26
Explainable machine learning techniques based on attention gate recurrent unit and local interpretable model‐agnostic explanations for multivariate wind speed forecasting
Lu Peng, Sheng‐Xiang Lv, Lin Wang
Journal of Forecasting (2024) Vol. 43, Iss. 6, pp. 2064-2087
Closed Access | Times Cited: 11
FE-RNN: A fuzzy embedded recurrent neural network for improving interpretability of underlying neural network
James Chee Min Tan, Qi Cao, Chai Quek
Information Sciences (2024) Vol. 663, pp. 120276-120276
Open Access | Times Cited: 10
Association mining based deep learning approach for financial time-series forecasting
Tanya Srivastava, Ishita Mullick, Jatin Bedi
Applied Soft Computing (2024) Vol. 155, pp. 111469-111469
Closed Access | Times Cited: 10
Stock price series forecasting using multi-scale modeling with boruta feature selection and adaptive denoising
Jing Li, Yukun Liu, Hongfang Gong, et al.
Applied Soft Computing (2024) Vol. 154, pp. 111365-111365
Closed Access | Times Cited: 6
Poly-linear regression with augmented long short term memory neural network: Predicting time series data
Supriyo Ahmed, Ripon K. Chakrabortty, Daryl Essam, et al.
Information Sciences (2022) Vol. 606, pp. 573-600
Closed Access | Times Cited: 26
The role of political risk, uncertainty, and crude oil in predicting stock markets: evidence from the UAE economy
Rabeh Khalfaoui, Sami Ben Jabeur, Shawkat Hammoudeh, et al.
Annals of Operations Research (2022)
Closed Access | Times Cited: 23
Integrating Navier-Stokes equation and neoteric iForest-BorutaShap-Facebook’s prophet framework for stock market prediction: An application in Indian context
Indranil Ghosh, Tamal Datta Chaudhuri
Expert Systems with Applications (2022) Vol. 210, pp. 118391-118391
Closed Access | Times Cited: 23
Using Deep Learning Techniques in Forecasting Stock Markets by Hybrid Data with Multilingual Sentiment Analysis
Ying-Lei Lin, Chi-Ju Lai, Ping‐Feng Pai
Electronics (2022) Vol. 11, Iss. 21, pp. 3513-3513
Open Access | Times Cited: 23
A hybrid system based on ensemble learning to model residuals for time series forecasting
Domingos S. de O. Santos, Paulo S. G. de Mattos Neto, João Fausto Lorenzato de Oliveira, et al.
Information Sciences (2023) Vol. 649, pp. 119614-119614
Closed Access | Times Cited: 15
An enhanced interval-valued decomposition integration model for stock price prediction based on comprehensive feature extraction and optimized deep learning
Jujie Wang, Jing Liu, Weiyi Jiang
Expert Systems with Applications (2023) Vol. 243, pp. 122891-122891
Closed Access | Times Cited: 15
Incorporating stock prices and text for stock movement prediction based on information fusion
Qiuyue Zhang, Yunfeng Zhang, Fangxun Bao, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107377-107377
Closed Access | Times Cited: 14
A hybrid neural network and optimization algorithm for forecasting and trend detection of Forex market indices
Someswari Perla, Ranjeeta Bisoi, P.K. Dash
Decision Analytics Journal (2023) Vol. 6, pp. 100193-100193
Open Access | Times Cited: 13
Utilizing Ensemble Learning and Dimension Reduction in Predicting Stock Prices: A Transparent Methodology with Insights from Explainable AI
Nabanita Das, Bikash Sadhukhan, Chayan Ghosh, et al.
SN Computer Science (2025) Vol. 6, Iss. 1
Closed Access
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
Unraveling asset pricing with AI: A systematic literature review
Yan Chen, Lin Zhang, Zhilong Xie, et al.
Applied Soft Computing (2025), pp. 112978-112978
Closed Access
Wie kann überwachtes maschinelles Lernen das digitale Marketing unterstützen?
Gerd Nufer, Manuel Muth
Springer eBooks (2025), pp. 1-19
Closed Access
A Quest for Context-Specific Stock Price Prediction: A Comparison Between Time Series, Machine Learning and Deep Learning Models
Mugdha Shailendra Kulkarni, S. Vijayakumar Bharathi, Arif Perdana, et al.
SN Computer Science (2025) Vol. 6, Iss. 4
Open Access
TimeSQL: Improving multivariate time series forecasting with multi-scale patching and smooth quadratic loss
Site Mo, Haoxin Wang, Bixiong Li, et al.
Information Sciences (2024) Vol. 671, pp. 120652-120652
Open Access | Times Cited: 4
WHEN MACHINES LEARN TECHNICAL ANALYSIS: AN APPLICATION ON TECHNICAL ANALYSIS WITH MACHINE LEARNING IN BORSA ISTANBUL
Yunus Emre Akdoğan
Trakya Üniversitesi sosyal bilimler dergisi/Trakya Üniversitesi Sosyal Bilimler dergisi (2025) Vol. 27, Iss. IERFM 2025 Özel Sayı, pp. 275-302
Open Access
Facial age estimation using tensor based subspace learning and deep random forests
Oussama Guehairia, Fadi Dornaika, Abdelmalik Ouamane, et al.
Information Sciences (2022) Vol. 609, pp. 1309-1317
Open Access | Times Cited: 16
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