---
title: "mlg-ulb/creditcardfraud: papers citing this dataset"
description: "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."
url: https://scholar4ai.com/code/kaggle-mlg-ulb-creditcardfraud
markdown_url: https://scholar4ai.com/code/kaggle-mlg-ulb-creditcardfraud.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# mlg-ulb/creditcardfraud: papers linking to it

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.

- Kaggle
- https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud

All repositories: https://scholar4ai.com/code.md

## 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

*Papers linking to mlg-ulb/creditcardfraud by publication year*

| Year | Papers |
|---|---:|
| 2020 | 1 |
| 2021 | 2 |
| 2022 | 1 |
| 2023 | 8 |
| 2024 | 7 |
| 2025 | 8 |
| 2026 | 4 |

## Journals

*Journals whose papers link to mlg-ulb/creditcardfraud most*

| Journal | Papers |
|---|---:|
| [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 15 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 5 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 3 |
| [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 2 |
| [Operations Research Forum](https://scholar4ai.com/journals/operations-research-forum.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Threshold optimization and random undersampling for imbalanced credit card data](https://doi.org/10.1186/s40537-023-00738-z) (Journal Of Big Data, 2023)
  - [Comparative analysis of binary and one-class classification techniques for credit card fraud data](https://doi.org/10.1186/s40537-023-00794-5) (Journal Of Big Data, 2023) — cites the paper above
    - [Investigating the effectiveness of one-class and binary classification for fraud detection](https://doi.org/10.1186/s40537-023-00825-1) (Journal Of Big Data, 2023) — cites the paper above
      - [Synthesizing class labels for highly imbalanced credit card fraud detection data](https://doi.org/10.1186/s40537-024-00897-7) (Journal Of Big Data, 2024) — cites the paper above
      - [WDAE-GAN: A hybrid dual autoencoder and generative adversarial framework with wavelet denoising for credit card fraud detection](https://doi.org/10.1016/j.eswa.2025.130078) (Expert Systems with Applications, 2025) — cites the paper above
    - [A problem-agnostic approach to feature selection and analysis using SHAP](https://doi.org/10.1186/s40537-024-01041-1) (Journal Of Big Data, 2025) — cites the paper above
      - [Unsupervised feature selection and class labeling for credit card fraud](https://doi.org/10.1186/s40537-025-01154-1) (Journal Of Big Data, 2025) — cites the paper above
- [An integrated multistage ensemble machine learning model for fraudulent transaction detection](https://doi.org/10.1186/s40537-024-00996-5) (Journal Of Big Data, 2024)
  - [From chaos to clarity: unraveling credit card fraud with BGVOA-LS](https://doi.org/10.1186/s40537-025-01274-8) (Journal Of Big Data, 2025) — cites the paper above
  - [Credit card fraud detection model based on optimized long short-term memory : Imbalanced class solution and overfitting reduction](https://doi.org/10.1016/j.eswa.2025.130871) (Expert Systems with Applications, 2025) — cites the paper above
- [Unsupervised label generation for severely imbalanced fraud data](https://doi.org/10.1186/s40537-025-01120-x) (Journal Of Big Data, 2025)
  - [Scalable unsupervised labeling with SHAP feature selection for fraud detection in imbalanced data](https://doi.org/10.1186/s40537-025-01248-w) (Journal Of Big Data, 2025) — cites the paper above

## Papers

*Papers linking to mlg-ulb/creditcardfraud, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2024-03-26 | [Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods](https://doi.org/10.1186/s40537-024-00905-w) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Huanjing Wang, Qianxin Liang, John Hancock et al. | 633 | cites it |
| 2021-12-31 | [Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances](https://doi.org/10.1016/j.eswa.2021.116429) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Waleed Hilal, S. Andrew Gadsden, John Yawney | 619 | cites it |
| 2022-02-25 | [A machine learning based credit card fraud detection using the GA algorithm for feature selection](https://doi.org/10.1186/s40537-022-00573-8) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Emmanuel Ileberi, Yanxia Sun, Zenghui Wang | 372 | cites it |
| 2024-01-20 | [Federated learning model for credit card fraud detection with data balancing techniques](https://doi.org/10.1007/s00521-023-09410-2) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Mustafa Abdul Salam, Khaled Mohammed Fouad, Doaa L. El Bably et al. | 132 | cites it |
| 2023-01-17 | [The effect of feature extraction and data sampling on credit card fraud detection](https://doi.org/10.1186/s40537-023-00684-w) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Zahra Salekshahrezaee, Joffrey L. Leevy, Taghi M. Khoshgoftaar | 111 | cites it |
| 2025-01-24 | [A problem-agnostic approach to feature selection and analysis using SHAP](https://doi.org/10.1186/s40537-024-01041-1) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | John Hancock, Taghi M. Khoshgoftaar, Qianxin Liang | 78 | cites it |
| 2024-11-22 | [An integrated multistage ensemble machine learning model for fraudulent transaction detection](https://doi.org/10.1186/s40537-024-00996-5) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Md. Alamin Talukder, Majdi Khalid, Md. Ashraf Uddin | 60 | cites it |
| 2023-05-06 | [Threshold optimization and random undersampling for imbalanced credit card data](https://doi.org/10.1186/s40537-023-00738-z) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Joffrey L. Leevy, Justin M. Johnson, John Hancock et al. | 54 | cites it |
| 2024-06-12 | [Deep learning-based credit card fraud detection in federated learning](https://doi.org/10.1016/j.eswa.2024.124493) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | V. V. Krishna Reddy, Radha Vijaya Kumar Reddy, Masthan Siva Krishna Munaga et al. | 48 | cites it |
| 2023-10-09 | [Explainable machine learning models for Medicare fraud detection](https://doi.org/10.1186/s40537-023-00821-5) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | John Hancock, Richard A. Bauder, Huanjing Wang et al. | 46 | cites it |
| 2023-07-17 | [Comparative analysis of binary and one-class classification techniques for credit card fraud data](https://doi.org/10.1186/s40537-023-00794-5) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Joffrey L. Leevy, John Hancock, Taghi M. Khoshgoftaar | 41 | cites it |
| 2021-04-15 | [A reconstruction error-based framework for label noise detection](https://doi.org/10.1186/s40537-021-00447-5) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Zahra Salekshahrezaee, Joffrey L. Leevy, Taghi M. Khoshgoftaar | 38 | cites it |
| 2024-03-09 | [Synthesizing class labels for highly imbalanced credit card fraud detection data](https://doi.org/10.1186/s40537-024-00897-7) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Robert K. L. Kennedy, Flavio Villanustre, Taghi M. Khoshgoftaar et al. | 38 | cites it |
| 2023-07-07 | [Fast deep autoencoder for federated learning](https://doi.org/10.1016/j.patcog.2023.109805) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | David Novoa-Paradela, Óscar Fontenla-Romero, Bertha Guijarro‐Berdiñas | 37 | cites it |
| 2023-10-12 | [Investigating the effectiveness of one-class and binary classification for fraud detection](https://doi.org/10.1186/s40537-023-00825-1) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Joffrey L. Leevy, John Hancock, Taghi M. Khoshgoftaar et al. | 25 | cites it |
| 2024-02-13 | [Assessment of catastrophic forgetting in continual credit card fraud detection](https://doi.org/10.1016/j.eswa.2024.123445) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Bertrand Lebichot, Wissam Siblini, Gian Marco Paldino et al. | 23 | cites it |
| 2026-01-23 | [Guardnet: an imbalance-aware graph neural network for fraud detection](https://doi.org/10.1007/s10618-025-01181-9) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Yuhao Chen, Fanwei Zhu, Zengwei Zheng et al. | 18 | cites it |
| 2025-05-05 | [Unsupervised feature selection and class labeling for credit card fraud](https://doi.org/10.1186/s40537-025-01154-1) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Robert K. L. Kennedy, Flavio Villanustre, Taghi M. Khoshgoftaar | 14 | cites it |
| 2023-03-28 | [Hellinger distance decision trees for PU learning in imbalanced data sets](https://doi.org/10.1007/s10994-023-06323-y) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Carlos Ortega Vázquez, Seppe vanden Broucke, Jochen De Weerdt | 13 | cites it |
| 2025-03-11 | [Unsupervised label generation for severely imbalanced fraud data](https://doi.org/10.1186/s40537-025-01120-x) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Mary Anne Walauskis, Taghi M. Khoshgoftaar | 12 | cites it |
| 2025-01-04 | [Combining Autoencoders and Deep Learning for Effective Fraud Detection in Credit Card Transactions](https://doi.org/10.1007/s43069-024-00409-6) | [Operations Research Forum](https://scholar4ai.com/journals/operations-research-forum.md) | Mohammed Tayebi, Said El Kafhali | 11 | cites it |
| 2024-07-24 | [Wave Hedges distance-based feature fusion and hybrid optimization-enabled deep learning for cyber credit card fraud detection](https://doi.org/10.1007/s10115-024-02177-5) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | Venkata Ratnam Ganji, Aparna Chaparala | 9 | cites it |
| 2026-02-01 | [Comparative performance analysis of quantum machine learning architectures for credit card fraud detection](https://doi.org/10.1007/s10489-026-07110-7) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Mohamed El Alami, Nouhaila Innan, Muhammad Shafique et al. | 8 | cites it |
| 2020-10-30 | [Detecting unusual input to neural networks](https://doi.org/10.1007/s10489-020-01925-8) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Jörg Martin, Clemens Elster | 6 | cites it |
| 2025-09-17 | [From chaos to clarity: unraveling credit card fraud with BGVOA-LS](https://doi.org/10.1186/s40537-025-01274-8) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Aya H. Salem, Safaa M. Azzam, O. E. Emam et al. | 6 | cites it |
| 2025-10-21 | [WDAE-GAN: A hybrid dual autoencoder and generative adversarial framework with wavelet denoising for credit card fraud detection](https://doi.org/10.1016/j.eswa.2025.130078) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Masoud RezvaniNejad, Ali Sabzali Yameqani | 6 | cites it |
| 2025-12-18 | [Credit card fraud detection model based on optimized long short-term memory : Imbalanced class solution and overfitting reduction](https://doi.org/10.1016/j.eswa.2025.130871) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Karima EL Hachimi, Ghizlane Orhanou, Lahoucine Ballihi | 5 | cites it |
| 2025-10-22 | [Scalable unsupervised labeling with SHAP feature selection for fraud detection in imbalanced data](https://doi.org/10.1186/s40537-025-01248-w) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Mary Anne Walauskis, Taghi M. Khoshgoftaar | 3 | cites it |
| 2023-03-30 | [Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach](https://doi.org/10.1007/s11222-023-10221-7) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Filippo Antonazzo, Christophe Biernacki A, Christine Keribin | 2 | cites it |
| 2026-09-01 | [From graphs to qubits: a critical review of quantum graph neural networks](https://doi.org/10.1007/s00521-026-12428-x) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Andrea Ceschini, Francesco Mauro, Francesca De Falco et al. | 1 | cites it |
| 2026-06-23 | [Adaptive masked autoencoder for anomaly detection](https://doi.org/10.1007/s00521-026-12281-y) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Rui Hu, Zhilu Chen | 0 | cites 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).