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:

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

Showing 1-25 of 58 citing articles:

An ADAS with better driver satisfaction under rear-end near-crash scenarios: A spatio-temporal graph transformer-based prediction framework of evasive behavior and collision risk
Jianqiang Gao, Bo Yu, Yuren Chen, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 159, pp. 104491-104491
Closed Access | Times Cited: 19

Hybrid of jellyfish and particle swarm optimization algorithm-based support vector machine for stock market trend prediction
R.J. Kuo, Tzu-Hsuan Chiu
Applied Soft Computing (2024) Vol. 154, pp. 111394-111394
Closed Access | Times Cited: 18

Developing a hybrid system for stock selection and portfolio optimization with many-objective optimization based on deep learning and improved NSGA-III
Mengzheng Lv, Jianzhou Wang, Shuai Wang, et al.
Information Sciences (2024) Vol. 670, pp. 120549-120549
Closed Access | Times Cited: 13

Forecasting stock prices using a novel filtering-combination technique: Application to the Pakistan stock exchange
Hasnain Iftikhar, Murad Khan, Josué Edison Turpo Chaparro, et al.
AIMS Mathematics (2024) Vol. 9, Iss. 2, pp. 3264-3288
Open Access | Times Cited: 8

Analysis of hematological indicators via explainable artificial intelligence in the diagnosis of acute heart failure: a retrospective study
Rüstem Yılmaz, Fatma Hilal Yağın, Cemil Çolak, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 6

MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
Hao Qian, Hongting Zhou, Qian Zhao, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 13, pp. 14642-14650
Open Access | Times Cited: 5

Systemic risk prediction using machine learning: Does network connectedness help prediction?
Gang‐Jin Wang, Yan Chen, You Zhu, et al.
International Review of Financial Analysis (2024) Vol. 93, pp. 103147-103147
Closed Access | Times Cited: 4

Algorithmic Trading Bot Using Artificial Intelligence Supertrend Strategy
Bogdan-Petru Vrînceanu, Florentin Şerban
International Journal of Latest Technology in Engineering Management & Applied Science (2025) Vol. 14, Iss. 1, pp. 14-20
Closed Access

High-throughput design and performance validation of superior latent heat eutectic salt materials
Fengyi Yang, Yimin Xuan, Xianglei Liu
Journal of Energy Storage (2025) Vol. 114, pp. 115864-115864
Closed Access

Key technical indicators for stock market prediction
Sayed Mahdi Mostafavi, Alireza Hooman
Machine Learning with Applications (2025) Vol. 20, pp. 100631-100631
Closed Access

Stock Market Index Prediction Using CEEMDAN‐LSTM‐BPNN‐Decomposition Ensemble Model
John Kamwele Mutinda, Abebe Geletu
Journal of Applied Mathematics (2025) Vol. 2025, Iss. 1
Open 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

Improving the Performance of Stock Price Prediction
Ahmed İhsan Şimşek
Advances in finance, accounting, and economics book series (2024), pp. 83-99
Closed Access | Times Cited: 3

Long Short-Term Memory and Gated Recurrent Unit for Stock Price Prediction
Akhas Rahmadeyan, Mustakim Mustakim
Procedia Computer Science (2024) Vol. 234, pp. 204-212
Open Access | Times Cited: 3

Enhanced Multi-variate Time Series Prediction Through Statistical-Deep Learning Integration: The VAR-Stacked LSTM Model
Mohd Sakib, Suhel Mustajab
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access | Times Cited: 3

Comparison of Explainable Artificial Intelligence Model and Radiologist Review Performances to Detect Breast Cancer in 752 Patients
Pelin Seher Öztekin, Oğuzhan KATAR, Tülay Omma, et al.
Journal of Ultrasound in Medicine (2024) Vol. 43, Iss. 11, pp. 2051-2068
Open Access | Times Cited: 3

An AI-Enabled ensemble method for rainfall forecasting using Long-Short term memory
Sarth Kanani, Shivam Patel, Rajeev Kumar Gupta, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 5, pp. 8975-9002
Open Access | Times Cited: 7

Selective genetic algorithm labeling: A new data labeling method for machine learning stock market trading systems
Yechan Han, Jaeyun Kim, David Enke
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108680-108680
Closed Access | Times Cited: 2

Evaluating the Effectiveness of Modern Forecasting Models in Predicting Commodity Futures Prices in Volatile Economic Times
László Vancsura, Tibor Tatay, Tibor Bareith
Risks (2023) Vol. 11, Iss. 2, pp. 27-27
Open Access | Times Cited: 5

XGBoost and CNN-LSTM hybrid model with Attention-based stock prediction
Renzhe Zhu, Yingke Yang, Junqi Chen
(2023), pp. 359-365
Closed Access | Times Cited: 5

Novel grey wolf optimizer based parameters selection for GARCH and ARIMA models for stock price prediction
Sneha S. Bagalkot, Dinesha H. A, Nagaraj Naik
PeerJ Computer Science (2024) Vol. 10, pp. e1735-e1735
Open Access | Times Cited: 1

Trading Signal Survival Analysis: A Framework for Enhancing Technical Analysis Strategies in Stock Markets
Wenbin Hu, Junzi Zhou
Computational Economics (2024)
Closed Access | Times Cited: 1

A novel trading system for the stock market using Deep Q-Network action and instance selection
Myeongseok Park, Jaeyun Kim, David Enke
Expert Systems with Applications (2024) Vol. 257, pp. 125043-125043
Closed Access | Times Cited: 1

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