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:

Machine learning methods in finance: Recent applications and prospects
Daniel Hoang, Kevin Wiegratz
European Financial Management (2022) Vol. 29, Iss. 5, pp. 1657-1701
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

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: 9

Bond return predictability: Macro factors and machine learning methods
Ying Jiang, Xiaoquan Liu, Yirong Liu, et al.
European Financial Management (2024) Vol. 30, Iss. 5, pp. 2596-2627
Closed Access | Times Cited: 5

The Role of Banks’ Business Models in their FinTech Acquisitions
Faisal Abdulmohsen Alfhaili, Mohamed Bakoush, Simon Wolfe
Journal of Financial Services Research (2025)
Open Access

Predicting ESG Disclosure Quality Through Board Secretary Characteristics: A Machine Learning Approach
Yang Jie, Yanfang Niu, Wenlei Shi, et al.
Research in International Business and Finance (2025), pp. 102865-102865
Closed 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 Identification and Estimation of Stock Price Pattern Equations using K-Means
Matej Steinbacher, Matjaž Steinbacher, Mitja Steinbacher
Computational Economics (2025)
Closed Access

Future Directions: Machine-Learning Methods

Cambridge University Press eBooks (2025), pp. 264-269
Closed Access

Do industries predict stock market volatility? Evidence from machine learning models
Zibo Niu, Rıza Demirer, Muhammad Tahir Suleman, et al.
Journal of International Financial Markets Institutions and Money (2023) Vol. 90, pp. 101903-101903
Closed Access | Times Cited: 12

A comprehensive review on insider trading detection using artificial intelligence
Prashant Priyadarshi, Prabhat Kumar
Journal of Computational Social Science (2024) Vol. 7, Iss. 2, pp. 1645-1664
Closed Access | Times Cited: 2

Does mandating corporate social and environmental disclosure improve social and environmental performance?: Broad-based evidence regarding the effectiveness of directive 2014/95/EU
Charl de Villiers, John Dumay, Federica Farneti, et al.
The British Accounting Review (2024) Vol. 56, Iss. 6, pp. 101437-101437
Open Access | Times Cited: 2

Machine learning model to predict rate constants for sonochemical degradation of organic pollutants
Iseul Na, Tae Ho Kim, Pengpeng Qiu, et al.
Ultrasonics Sonochemistry (2024) Vol. 110, pp. 107032-107032
Closed Access | Times Cited: 2

The Symmetric and Asymmetric Algorithmic Trading Strategies for the Stablecoins
Mahmut Bağcı, Pınar Kaya Soylu, Selçuk KIRAN
Computational Economics (2024)
Closed Access | Times Cited: 1

Major Issues in High-frequency Financial Data Analysis: A Survey of Solutions
Lu Zhang, Lei Hua
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 1

From words to finances: Unravelling the negative net debt-languages nexus
Marvelous Kadzima, Michael Machokoto, Tesfaye Lemma
Finance research letters (2024) Vol. 66, pp. 105665-105665
Closed Access | Times Cited: 1

A Study of Stock Market Prediction(SMP) Using Machine Learning Techniques
Yogita Punjabi, Mainaz Faridi
Deleted Journal (2024) Vol. 2, Iss. 08, pp. 2699-2709
Open Access | Times Cited: 1

Using machine learning to forecast clean energy, commodities, green bonds and ESG index prices: How important is financial stress?
Hayet Soltani, Jamila Taleb, Fatma Ben Hamadou, et al.
EuroMed Journal of Business (2024)
Closed Access | Times Cited: 1

Disruptive Innovation and IPO Outcomes: Evidence from Machine Learning
Hoang Nguyen, Anup Agrawal
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 2

Time is the Witness: Bank Failure Prediction via a Multistage AI Model
Dimitrios Gounopoulos, Emmanouil Platanakis, Haoran Wu, et al.
SSRN Electronic Journal (2024)
Closed Access

What Drives the Ambiguity about Stock Market Volatility in Europe? Insights from the V-VSTOXX
Stefan Albers, Paul L. Reiter
SSRN Electronic Journal (2024)
Closed Access

Improving the prediction of firm performance using nonfinancial disclosures: a machine learning approach
Usman Sufi, Arshad Hasan, Khaled Hussainey
Journal of Accounting in Emerging Economies (2024) Vol. 14, Iss. 5, pp. 1223-1251
Closed Access

Unified Deep Ensemble Architecture for Multiple Classification Tasks
Kody A. J. Mistry, Bappaditya Mandal
Lecture notes in networks and systems (2024), pp. 544-557
Closed Access

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