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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:

Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process
Kyung Keun Yun, Sang Won Yoon, Daehan Won
Expert Systems with Applications (2021) Vol. 186, pp. 115716-115716
Closed Access | Times Cited: 198

Showing 1-25 of 198 citing articles:

Machine learning techniques and data for stock market forecasting: A literature review
Mahinda Mailagaha Kumbure, Christoph Lohrmann, Pasi Luukka, et al.
Expert Systems with Applications (2022) Vol. 197, pp. 116659-116659
Open Access | Times Cited: 302
Hybrid CNN and XGBoost Model Tuned by Modified Arithmetic Optimization Algorithm for COVID-19 Early Diagnostics from X-ray Images
Miodrag Živković, Nebojša Bačanin, Miloš Antonijević, et al.
Electronics (2022) Vol. 11, Iss. 22, pp. 3798-3798
Open Access | Times Cited: 106
The Explainable Potential of Coupling Metaheuristics-Optimized-XGBoost and SHAP in Revealing VOCs’ Environmental Fate
Luka Jovanovic, Gordana Jovanović, Mirjana Perišić, et al.
Atmosphere (2023) Vol. 14, Iss. 1, pp. 109-109
Open Access | Times Cited: 55
A machine learning trading system for the stock market based on N-period Min-Max labeling using XGBoost
Yechan Han, Jaeyun Kim, David Enke
Expert Systems with Applications (2022) Vol. 211, pp. 118581-118581
Closed Access | Times Cited: 58
Interpretable stock price forecasting model using genetic algorithm-machine learning regressions and best feature subset selection
Kyung Keun Yun, Sang Won Yoon, Daehan Won
Expert Systems with Applications (2022) Vol. 213, pp. 118803-118803
Closed Access | Times Cited: 51
Modeling of energy consumption factors for an industrial cement vertical roller mill by SHAP-XGBoost: a "conscious lab" approach
Rasoul Fatahi, Hamid Nasiri, Ehsan Dadfar, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 47
A Comparative Study of Demand Forecasting Models for a Multi-Channel Retail Company: A Novel Hybrid Machine Learning Approach
Arnab Mitra, Arnav Jain, Avinash Kishore, et al.
Operations Research Forum (2022) Vol. 3, Iss. 4
Open Access | Times Cited: 47
MBGAN: An improved generative adversarial network with multi-head self-attention and bidirectional RNN for time series imputation
Qingjian Ni, Xuehan Cao
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105232-105232
Closed Access | Times Cited: 41
Computer vision-based classification of concrete spall severity using metaheuristic-optimized Extreme Gradient Boosting Machine and Deep Convolutional Neural Network
Hieu Nguyen, Nhat‐Duc Hoang
Automation in Construction (2022) Vol. 140, pp. 104371-104371
Closed Access | Times Cited: 38
Sonication impact on thermal conductivity of f-MWCNT nanofluids using XGBoost and Gaussian process regression
Zafar Said, Prabhakar Sharma, Bhaskor Jyoti Bora, et al.
Journal of the Taiwan Institute of Chemical Engineers (2023) Vol. 145, pp. 104818-104818
Closed Access | Times Cited: 38
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
Forecasting movements of stock time series based on hidden state guided deep learning approach
Junji Jiang, Likang Wu, Hongke Zhao, et al.
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103328-103328
Closed Access | Times Cited: 27
Machine learning approaches to forecasting cryptocurrency volatility: Considering internal and external determinants
Yijun Wang, Galina Andreeva, Belén Martín-Barragán
International Review of Financial Analysis (2023) Vol. 90, pp. 102914-102914
Open Access | Times Cited: 23
Machine learning applications for electrospun nanofibers: a review
Balakrishnan Subeshan, Asonganyi Atayo, Eylem Asmatulu
Journal of Materials Science (2024) Vol. 59, Iss. 31, pp. 14095-14140
Open Access | Times Cited: 13
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: 9
Efficient prediction of California bearing ratio in solid waste-cement-stabilized soil using improved hybrid extreme gradient boosting model
Yiliang Tu, Qianglong Yao, Shuitao Gu, et al.
Materials Today Communications (2025) Vol. 43, pp. 111627-111627
Closed Access | Times Cited: 1
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: 37
Prediction of coal self-ignition tendency using machine learning
Lidong Zhang, Zeyang Song, Dejian Wu, et al.
Fuel (2022) Vol. 325, pp. 124832-124832
Closed Access | Times Cited: 30
Extending machine learning prediction capabilities by explainable AI in financial time series prediction
Taha Buğra Çeli̇k, Özgür İcan, Elif Bulut
Applied Soft Computing (2022) Vol. 132, pp. 109876-109876
Closed Access | Times Cited: 29
Stock ranking prediction using a graph aggregation network based on stock price and stock relationship information
Guowei Song, Tianlong Zhao, Suwei Wang, et al.
Information Sciences (2023) Vol. 643, pp. 119236-119236
Closed Access | Times Cited: 21
Series decomposition Transformer with period-correlation for stock market index prediction
Zicheng Tao, Wei Wu, Jianxin Wang
Expert Systems with Applications (2023) Vol. 237, pp. 121424-121424
Closed Access | Times Cited: 21
Exploring spatial patterns and environmental risk factors for global maritime accidents: A 20-year analysis
Xiao Zhou, Xiaoguang Ruan, Han Wang, et al.
Ocean Engineering (2023) Vol. 286, pp. 115628-115628
Closed Access | Times Cited: 19
McVCsB: A new hybrid deep learning network for stock index prediction
Chenhao Cui, Peiwan Wang, Yong Li, et al.
Expert Systems with Applications (2023) Vol. 232, pp. 120902-120902
Closed Access | Times Cited: 18
Deep learning and technical analysis in cryptocurrency market
Stéphane Goutte, Viet Hoang Le, Fei Liu, et al.
Finance research letters (2023) Vol. 54, pp. 103809-103809
Open Access | Times Cited: 17
A Systematic Survey of AI Models in Financial Market Forecasting for Profitability Analysis
Bilal Hassan Ahmed Khattak, Imran Shafi, Abdul Saboor Khan, et al.
IEEE Access (2023) Vol. 11, pp. 125359-125380
Open Access | Times Cited: 16
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