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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:

Performance of machine learning techniques in the detection of financial frauds
Imane Sadgali, Nawal Sael, Faouzia Benabbou
Procedia Computer Science (2019) Vol. 148, pp. 45-54
Open Access | Times Cited: 139

Showing 1-25 of 139 citing articles:

Financial fraud detection applying data mining techniques: A comprehensive review from 2009 to 2019
Khaled Gubran Al-Hashedi, Pritheega Magalingam
Computer Science Review (2021) Vol. 40, pp. 100402-100402
Closed Access | Times Cited: 212
Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach
Abdul Rehman Khalid, Nsikak Owoh, Omair Uthmani, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 1, pp. 6-6
Open Access | Times Cited: 40
Financial fraud detection using quantum graph neural networks
Nouhaila Innan, Abhishek Sawaika, Ashim Dhor, et al.
Quantum Machine Intelligence (2024) Vol. 6, Iss. 1
Closed Access | Times Cited: 21
A Financial Fraud Detection Model Based on LSTM Deep Learning Technique
Yara Alghofaili, Albatul Albattah, Murad A. Rassam
Journal of Applied Security Research (2020) Vol. 15, Iss. 4, pp. 498-516
Closed Access | Times Cited: 89
Leveraging Computational Intelligence Techniques for Defensive Deception: A Review, Recent Advances, Open Problems and Future Directions
Pilla Vaishno Mohan, Shriniket Dixit, Amogh Gyaneshwar, et al.
Sensors (2022) Vol. 22, Iss. 6, pp. 2194-2194
Open Access | Times Cited: 44
Internet Financial Fraud Detection Based on Graph Learning
Ranran Li, Zhaowei Liu, Yuanqing Ma, et al.
IEEE Transactions on Computational Social Systems (2022) Vol. 10, Iss. 3, pp. 1394-1401
Closed Access | Times Cited: 43
Fraud detection and prevention in e-commerce: A systematic literature review
Vinicius Facco Rodrigues, Lucas Micol Policarpo, Diórgenes Eugênio da Silveira, et al.
Electronic Commerce Research and Applications (2022) Vol. 56, pp. 101207-101207
Closed Access | Times Cited: 43
A systematic literature review on frauds in banking sector
Deepa Mangala, Lalita Soni
Journal of Financial Crime (2022) Vol. 30, Iss. 1, pp. 285-301
Closed Access | Times Cited: 42
Fraud detection in financial statements using data mining and GAN models
Seyyede Zahra Aftabi, Ali Ahmadi, Saeed Farzi
Expert Systems with Applications (2023) Vol. 227, pp. 120144-120144
Closed Access | Times Cited: 34
Enhancing the Random Forest Model via Synthetic Minority Oversampling Technique for Credit-Card Fraud Detection
Fidelis Obukohwo Aghware, Arnold Adimabua Ojugo, Wilfred Adigwe, et al.
Journal of Computing Theories and Applications (2024) Vol. 1, Iss. 4, pp. 407-420
Open Access | Times Cited: 13
Fraud Detection In Financial Transactions Through Data Science For Real-Time Monitoring And Prevention
Md Waliullah, Md. Ashraful Alam
SSRN Electronic Journal (2025)
Closed Access | Times Cited: 1
Solving Misclassification of the Credit Card Imbalance Problem Using Near Miss
Nhlakanipho Michael Mqadi, Nalindren Naicker, Timothy T. Adeliyi
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-16
Open Access | Times Cited: 45
Agricultural commodity futures prices prediction based on a new hybrid forecasting model combining quadratic decomposition technology and LSTM model
Tingting Zhang, Zhenpeng Tang
Frontiers in Sustainable Food Systems (2024) Vol. 8
Open Access | Times Cited: 6
DaBO-BoostE: Enhanced Data Balancing via Oversampling Technique for a Boosting Ensemble in Card-Fraud Detection
Emakpor Augustine Otorokpo, Margaret Dumebi Okpor, Rume Elizabeth Yoro, et al.
Advances in Multidisciplinary & Scientific Research Journal Publication (2024) Vol. 12, pp. 45-66
Open Access | Times Cited: 6
Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials
Juan Fernández, Manuel Chiachío, Juan Chiachío, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 107, pp. 104511-104511
Open Access | Times Cited: 38
Exploratory analysis and implementation of machine learning techniques for predictive assessment of fraud in banking systems
Miguel Ângelo Lellis Moreira, Claudio de Souza Rocha, Diogo Ferreira de Lima Silva, et al.
Procedia Computer Science (2022) Vol. 214, pp. 117-124
Open Access | Times Cited: 27
Building fraud monitoring systems: approaches, methods, models and their practical implementation
N. M. Krainov, L. K. Bobrov
Vestnik NSUEM (2025), Iss. 4, pp. 79-96
Closed Access
Models for Insurance Fraud Detection: Dealing with Unbalanced Data
Patricia Carracedo, David Hervás
Lecture notes in computer science (2025), pp. 3-9
Closed Access
AI and Data Warehousing for Financial Services: Future-Proofing Data Governance and Compliance 
Srinivasa Chakravarthy Seethala
SSRN Electronic Journal (2025)
Closed Access
Investigating the Role of AI Techniques in CCFD: A Quantitative Study in the Accounting and Finance Sector
R Ibrahim, Israa Badr
Emerald Publishing Limited eBooks (2025), pp. 133-162
Closed Access
Machine Learning for Identifying Risk in Financial Statements: A Survey
Elias Zavitsanos, Eirini Spyropoulou, George Giannakopoulos, et al.
ACM Computing Surveys (2025)
Closed Access
Boosting Algorithm Techniques for Detecting Credit Card Fraud in Heterogeneous Datasets
Justs Viduss, Nadežda Spiridovska
Lecture notes in networks and systems (2025), pp. 175-184
Closed Access
Predictive Analysis of Digital Payment Trends Using Deep Learning
Usharani Bhimavarapu
IGI Global eBooks (2025), pp. 139-154
Closed Access
A SMOTe based Oversampling Data-Point Approach to Solving the Credit Card Data Imbalance Problem in Financial Fraud Detection
Nhlakanipho Michael Mqadi, Nalindren Naicker, Timothy T. Adeliyi
International Journal of Computing and Digital Systems (2021) Vol. 10, Iss. 1, pp. 277-286
Open Access | Times Cited: 30
Analyzing the Impact of Forensic Accounting in the Detection of Financial Fraud: The Mediating Role of Artificial Intelligence
Kamakshi Mehta, Prabhat Mittal, Pankaj Gupta, et al.
Advances in intelligent systems and computing (2021), pp. 585-592
Closed Access | Times Cited: 29
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