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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:

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: 99

Showing 1-25 of 99 citing articles:

Comparative Analysis of Machine Learning Algorithms for Consumer Credit Risk Assessment
Tianyi Xu
Transactions on Computer Science and Intelligent Systems Research (2024) Vol. 4, pp. 60-67
Open Access | Times Cited: 18
Explainable deep learning model for stock price forecasting using textual analysis
Mohammad Abdullah, Zunaidah Sulong, Mohammad Ashraful Ferdous Chowdhury
Expert Systems with Applications (2024) Vol. 249, pp. 123740-123740
Closed Access | Times Cited: 14
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
Computational and Machine Learning Methods for CO2 Capture Using Metal–Organic Frameworks
Hossein Mashhadimoslem, Mohammad Ali Abdol, Peyman Karimi, et al.
ACS Nano (2024) Vol. 18, Iss. 35, pp. 23842-23875
Closed Access | Times Cited: 13
Predicting financial distress using multimodal data: An attentive and regularized deep learning method
Wanliu Che, Zhao Wang, Cuiqing Jiang, et al.
Information Processing & Management (2024) Vol. 61, Iss. 4, pp. 103703-103703
Open Access | Times Cited: 12
Machine learning in business and finance: a literature review and research opportunities
Hanyao Gao, Gang Kou, Haiming Liang, et al.
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 8
Machine Learning Approaches for Predicting Ignition Delay in Combustion Processes: A Comprehensive Review
Maysam Molana, Sahar Darougheh, Abbas Biglar, et al.
Industrial & Engineering Chemistry Research (2024) Vol. 63, Iss. 6, pp. 2509-2518
Closed Access | Times Cited: 6
LEVERAGING ARTIFICIAL INTELLIGENCE (AI) IN PUBLIC SECTOR FINANCIAL RISK MANAGEMENT: INNOVATIONS, CHALLENGES, AND FUTURE DIRECTIONS
Mehdi Bouchetara, Messaoud Zerouti, Anaïs Radja Zouambi
EDPACS (2024) Vol. 69, Iss. 9, pp. 124-144
Closed Access | Times Cited: 6
Source identification on financial networks with label propagation
Zhao-Long Hu, Qichao Jin, Lei Sun, et al.
Physica A Statistical Mechanics and its Applications (2025), pp. 130328-130328
Closed Access
Using Big Data and Predictive Analytics for Informed Decision-Making in Investment Banking

IJARCCE (2025) Vol. 13, Iss. 12
Open Access
Multi-modal deep learning for credit rating prediction using text and numerical data streams
Mahsa Tavakoli, Rohitash Chandra, Fengrui Tian, et al.
Applied Soft Computing (2025), pp. 112771-112771
Open Access
Transforming credit risk assessment: A systematic review of AI and machine learning applications
Jewel Kumar Roy, László Vasa
Journal of Infrastructure Policy and Development (2025) Vol. 9, Iss. 1, pp. 9652-9652
Open Access
Major Issues in High-Frequency Financial Data Analysis: A Survey of Solutions
Lu Zhang, Lei Hua
Mathematics (2025) Vol. 13, Iss. 3, pp. 347-347
Open Access
An experimental survey of imbalanced learning algorithms for bankruptcy prediction
Peter Gnip, Róbert Kanász, Martin Zoričák, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access
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
Machine Learning‐Powered Optimization of a CHO Cell Cultivation Process
Jannik Richter, Qimin Wang, Ferdinand Lange, et al.
Biotechnology and Bioengineering (2025)
Open Access
Artificial intelligence in the service of entrepreneurial finance: knowledge structure and the foundational algorithmic paradigm
Robert Kudelić, Tamara Šmaguc, Sherry Robinson
Financial Innovation (2025) Vol. 11, Iss. 1
Open Access
The cross-interval reconstruction and heuristic calculation to deal with the continuous-valued attribute in the learning process
Wei Zhou, Wenqiang Zhu, Jin Chen, et al.
Applied Soft Computing (2025), pp. 112897-112897
Closed Access
Allocation of Investment Portfolio Assets Classes Using Machine Learning
Serhii Savchenko, Vitaliy Kobets
Communications in computer and information science (2025), pp. 285-296
Closed Access
Optimizing financial modeling with machine learning: integrating particle swarm optimization for enhanced predictive analytics
Ashish Jha, Sumit Maheshwari, Pankaj Dutta, et al.
Journal of Business Analytics (2025), pp. 1-20
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
Machine Learning Insights into Cryptocurrency Price Prediction: SVM and ANN Perspectives
Sara Salehi
Springer proceedings in business and economics (2025), pp. 205-217
Closed Access
Interpretable Forex trading models based on new technical analysis indicators and fuzzy multi-criteria optimization
Pavel Sevastjanov, Krzysztof Kaczmarek, Ludmila Dymova, et al.
Fuzzy Sets and Systems (2025), pp. 109371-109371
Closed Access
Interpretable Machine Learning Workflow for Evaluating and Analyzing the Performance of High-Entropy GeTe-Based Thermoelectric Materials
Wenzhao Li, Mingji Liu
ACS Applied Electronic Materials (2023) Vol. 5, Iss. 8, pp. 4523-4533
Closed Access | Times Cited: 12
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: 4
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