Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

mlg-ulb/creditcardfraud: papers linking to it

Kaggle · www.kaggle.com/datasets/mlg-ulb/creditcardfraud

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Research papers in the 480 tracked journals that link to mlg-ulb/creditcardfraud (https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

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Key findings#

  • 31 papers in the tracked journals link to the Kaggle dataset mlg-ulb/creditcardfraud in their Crossref records, the first in 2020; most of them (8) in 2025.
  • By category: AI (29), Operations Research (1) and Statistics (1); the journals with the most are Journal Of Big Data (15), Expert Systems with Applications (5) and Neural Computing and Applications (3).
  • 12 of the papers build on one another: a later paper cites an earlier one that also links mlg-ulb/creditcardfraud.

By year#

2020: 1 paper2021: 2 papers2022: 1 paper2023: 8 papers2024: 7 papers2025: 8 papers2026: 4 papers
20202026
Papers linking to mlg-ulb/creditcardfraud by publication year
YearPapers
20201
20212
20221
20238
20247
20258
20264

Journals#

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Papers linking to mlg-ulb/creditcardfraud, most cited first
PublishedTitleJournalAuthorsCitationsLink
2024-03-26Feature selection strategies: a comparative analysis of SHAP-value and importance-based methodsJournal Of Big DataHuanjing Wang, Qianxin Liang, John Hancock et al.633cites it
2021-12-31Financial Fraud: A Review of Anomaly Detection Techniques and Recent AdvancesExpert Systems with ApplicationsWaleed Hilal, S. Andrew Gadsden, John Yawney619cites it
2022-02-25A machine learning based credit card fraud detection using the GA algorithm for feature selectionJournal Of Big DataEmmanuel Ileberi, Yanxia Sun, Zenghui Wang372cites it
2024-01-20Federated learning model for credit card fraud detection with data balancing techniquesNeural Computing and ApplicationsMustafa Abdul Salam, Khaled Mohammed Fouad, Doaa L. El Bably et al.132cites it
2023-01-17The effect of feature extraction and data sampling on credit card fraud detectionJournal Of Big DataZahra Salekshahrezaee, Joffrey L. Leevy, Taghi M. Khoshgoftaar111cites it
2025-01-24A problem-agnostic approach to feature selection and analysis using SHAPJournal Of Big DataJohn Hancock, Taghi M. Khoshgoftaar, Qianxin Liang78cites it
2024-11-22An integrated multistage ensemble machine learning model for fraudulent transaction detectionJournal Of Big DataMd. Alamin Talukder, Majdi Khalid, Md. Ashraf Uddin60cites it
2023-05-06Threshold optimization and random undersampling for imbalanced credit card dataJournal Of Big DataJoffrey L. Leevy, Justin M. Johnson, John Hancock et al.54cites it
2024-06-12Deep learning-based credit card fraud detection in federated learningExpert Systems with ApplicationsV. V. Krishna Reddy, Radha Vijaya Kumar Reddy, Masthan Siva Krishna Munaga et al.48cites it
2023-10-09Explainable machine learning models for Medicare fraud detectionJournal Of Big DataJohn Hancock, Richard A. Bauder, Huanjing Wang et al.46cites it
2023-07-17Comparative analysis of binary and one-class classification techniques for credit card fraud dataJournal Of Big DataJoffrey L. Leevy, John Hancock, Taghi M. Khoshgoftaar41cites it
2021-04-15A reconstruction error-based framework for label noise detectionJournal Of Big DataZahra Salekshahrezaee, Joffrey L. Leevy, Taghi M. Khoshgoftaar38cites it
2024-03-09Synthesizing class labels for highly imbalanced credit card fraud detection dataJournal Of Big DataRobert K. L. Kennedy, Flavio Villanustre, Taghi M. Khoshgoftaar et al.38cites it
2023-07-07Fast deep autoencoder for federated learningPattern RecognitionDavid Novoa-Paradela, Óscar Fontenla-Romero, Bertha Guijarro‐Berdiñas37cites it
2023-10-12Investigating the effectiveness of one-class and binary classification for fraud detectionJournal Of Big DataJoffrey L. Leevy, John Hancock, Taghi M. Khoshgoftaar et al.25cites it
2024-02-13Assessment of catastrophic forgetting in continual credit card fraud detectionExpert Systems with ApplicationsBertrand Lebichot, Wissam Siblini, Gian Marco Paldino et al.23cites it
2026-01-23Guardnet: an imbalance-aware graph neural network for fraud detectionData Mining and Knowledge DiscoveryYuhao Chen, Fanwei Zhu, Zengwei Zheng et al.18cites it
2025-05-05Unsupervised feature selection and class labeling for credit card fraudJournal Of Big DataRobert K. L. Kennedy, Flavio Villanustre, Taghi M. Khoshgoftaar14cites it
2023-03-28Hellinger distance decision trees for PU learning in imbalanced data setsMachine LearningCarlos Ortega Vázquez, Seppe vanden Broucke, Jochen De Weerdt13cites it
2025-03-11Unsupervised label generation for severely imbalanced fraud dataJournal Of Big DataMary Anne Walauskis, Taghi M. Khoshgoftaar12cites it
2025-01-04Combining Autoencoders and Deep Learning for Effective Fraud Detection in Credit Card TransactionsOperations Research ForumMohammed Tayebi, Said El Kafhali11cites it
2024-07-24Wave Hedges distance-based feature fusion and hybrid optimization-enabled deep learning for cyber credit card fraud detectionKnowledge and Information SystemsVenkata Ratnam Ganji, Aparna Chaparala9cites it
2026-02-01Comparative performance analysis of quantum machine learning architectures for credit card fraud detectionApplied IntelligenceMohamed El Alami, Nouhaila Innan, Muhammad Shafique et al.8cites it
2020-10-30Detecting unusual input to neural networksApplied IntelligenceJörg Martin, Clemens Elster6cites it
2025-09-17From chaos to clarity: unraveling credit card fraud with BGVOA-LSJournal Of Big DataAya H. Salem, Safaa M. Azzam, O. E. Emam et al.6cites it
2025-10-21WDAE-GAN: A hybrid dual autoencoder and generative adversarial framework with wavelet denoising for credit card fraud detectionExpert Systems with ApplicationsMasoud RezvaniNejad, Ali Sabzali Yameqani6cites it
2025-12-18Credit card fraud detection model based on optimized long short-term memory : Imbalanced class solution and overfitting reductionExpert Systems with ApplicationsKarima EL Hachimi, Ghizlane Orhanou, Lahoucine Ballihi5cites it
2025-10-22Scalable unsupervised labeling with SHAP feature selection for fraud detection in imbalanced dataJournal Of Big DataMary Anne Walauskis, Taghi M. Khoshgoftaar3cites it
2023-03-30Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approachStatistics and ComputingFilippo Antonazzo, Christophe Biernacki A, Christine Keribin2cites it
2026-09-01From graphs to qubits: a critical review of quantum graph neural networksNeural Computing and ApplicationsAndrea Ceschini, Francesco Mauro, Francesca De Falco et al.1cites it
2026-06-23Adaptive masked autoencoder for anomaly detectionNeural Computing and ApplicationsRui Hu, Zhilu Chen0cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). mlg-ulb/creditcardfraud: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-mlg-ulb-creditcardfraud

@misc{scholar4ai-code-kaggle-mlg-ulb-creditcardfraud,
  author = {{Scholar4AI}},
  title = {mlg-ulb/creditcardfraud: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-mlg-ulb-creditcardfraud}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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