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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:

Artificial Intelligence and Fraud Detection
Yang Bao, Gilles Hilary, Bin Ke
Springer series in supply chain management (2022), pp. 223-247
Closed Access | Times Cited: 89

Showing 26-50 of 89 citing articles:

The Sustainable Path to a Society Free of Fraud and Corruption Offenses in the World
Sofia Ramos, José Ángel Pérez López, Rute Abreu, et al.
CSR, sustainability, ethics & governance (2025), pp. 329-343
Closed Access
Trends in Data Protection and Encryption Technologies
Valentin Mulder, Alain Mermoud, Vincent Lenders, et al.
(2023)
Open Access | Times Cited: 10
Research on the Application of Artificial Intelligence and Big Data Technology in Financial Fraud Detection
Ziyue Wang
Journal of Theory and Practice of Engineering Science (2024) Vol. 4, Iss. 03, pp. 216-219
Open Access | Times Cited: 3
Ex-ante expected changes in ESG and future stock returns based on machine learning
Hongtao Zhu, Md Jahidur Rahman
The British Accounting Review (2024) Vol. 56, Iss. 6, pp. 101457-101457
Closed Access | Times Cited: 3
Digital Lean Operations: Smart Automation and Artificial Intelligence in Financial Services
Robert Boute, Joren Gijsbrechts, Jan A. Van Mieghem
Springer series in supply chain management (2021), pp. 175-188
Closed Access | Times Cited: 19
Comparison of machine learning algorithms for evaluating building energy efficiency using big data analytics
Christian Nnaemeka Egwim, Hafiz Alaka, Oluwapelumi Oluwaseun Egunjobi, et al.
Journal of Engineering Design and Technology (2022) Vol. 22, Iss. 4, pp. 1325-1350
Open Access | Times Cited: 14
Financial Fraud Detection of Listed Companies in China: A Machine Learning Approach
Yasheng Chen, Zhuojun Wu
Sustainability (2022) Vol. 15, Iss. 1, pp. 105-105
Open Access | Times Cited: 14
Artificial Intelligence Challenges and Its Impact on Detection and Prevention of Financial Statement Fraud
Archna, Nidhi Bhagat
Advances in human resources management and organizational development book series (2024), pp. 60-80
Closed Access | Times Cited: 2
Artificial Intelligence and Financial Risk Mitigation
Raja Rehan, Auwal Adam Sa’ad, Razali Haron
(2024), pp. 53-79
Closed Access | Times Cited: 2
Enhancing Fraud Detection in Banking with Deep Learning: Graph Neural Networks and Autoencoders for Real-Time Credit Card Fraud Prevention
Fawaz Khaled Alarfaj, Shabnam Shahzadi
IEEE Access (2024) Vol. 13, pp. 20633-20646
Open Access | Times Cited: 2
Efficiency or Equity? How Public Values Shape Bureaucrats' Willingness to Use Artificial Intelligence to Reduce Administrative Burdens
Jaeyeong Nam, Elizabeth Bell
Public Performance & Management Review (2024), pp. 1-34
Closed Access | Times Cited: 2
Assessing the Transformative Impact of AI Adoption on Efficiency, Fraud Detection, and Skill Dynamics in Accounting Practices
Fadi Bou Reslan, Nada Jabbour Al Maalouf
Journal of risk and financial management (2024) Vol. 17, Iss. 12, pp. 577-577
Open Access | Times Cited: 2
Artificial Intelligence and State Power
Vusumuzi Maphosa
(2023) Vol. 22, pp. 1-5
Closed Access | Times Cited: 6
A sector-based approach to AI ethics: Understanding ethical issues of AI-related incidents within their sectoral context
Dafna Burema, Nicole Debowski-Weimann, Alexander von Janowski, et al.
(2023), pp. 705-714
Open Access | Times Cited: 6
Integrated SVM-FFNN for Fraud Detection in Banking Financial Transactions
Udayakumar Dr.R., Dr.P. Bharath Kumar Chowdary, Devi Dr.T., et al.
Journal of Internet Services and Information Security (2023) Vol. 13, Iss. 4, pp. 12-25
Open Access | Times Cited: 6
Artificial Intelligence Applications in Cybersecurity
Tesfahiwet Abrham, Sanaa Kaddoura, Hamda Al Breiki
Advances in computer and electrical engineering book series (2023), pp. 179-205
Closed Access | Times Cited: 5
CHALLENGES, STRATEGIES AND QUALIFICATIONS OF AUDITORS IN THE SOCIETY 5.0 ERA
Sihar Tambun, Riris Rotua Sitorus
JRAK (2023) Vol. 15, Iss. 2, pp. 228-240
Open Access | Times Cited: 5
Predicting money laundering sanctions using machine learning algorithms and artificial neural networks
Mark Lokanan
Applied Economics Letters (2023) Vol. 31, Iss. 12, pp. 1112-1118
Open Access | Times Cited: 4
Ensemble Machine Learning Approaches for Prediction of Türkiye’s Energy Demand
Merve Kayacı Çodur
Energies (2023) Vol. 17, Iss. 1, pp. 74-74
Open Access | Times Cited: 4
Challenges and Opportunities of Machine Learning in the Financial Sector
Manjit Kour
Advances in finance, accounting, and economics book series (2023), pp. 61-73
Closed Access | Times Cited: 4
Role of AI for Fraud Detection in Banks: A Bibliometric Analysis
Rajesh Tiwari, Shivani Rautela, Saurabh Sharma, et al.
(2023), pp. 66-71
Closed Access | Times Cited: 4
How Artificial Intelligence Combined with Blockchain Technology Could Accelerate Impact Investing
Asma Aziz Alaoui, Hassan Azdimousa
Lecture notes in networks and systems (2024), pp. 419-426
Closed Access | Times Cited: 1
Machine Learning
Mohamed Ali Bejjar, Yosr Siala
Advances in finance, accounting, and economics book series (2024), pp. 110-134
Closed Access | Times Cited: 1
Fraud risk assessment in car insurance using claims graph features in machine learning
Ivan Vorobyev
Expert Systems with Applications (2024) Vol. 251, pp. 124109-124109
Closed Access | Times Cited: 1
“Optimizing Payment Transaction Security: Utilizing Gradient Boosting Machines for Fraud Detection”
Naduvathezhath Nessariose Jose, Arun Kumar Arigela, G Vivekanandan, et al.
(2024) Vol. 1, pp. 720-725
Closed Access | Times Cited: 1

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