---
title: "Credit card fraud data (Kaggle, PaySim, IEEE-CIS)"
description: "From Nov 2023 to Oct 2026, 57 archived papers mentioned Credit card fraud data (Kaggle, PaySim, IEEE-CIS) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Feb 2024 (6)."
url: https://scholar4ai.com/datasets/credit-card-fraud-data-kaggle-paysim-ieee-cis
markdown_url: https://scholar4ai.com/datasets/credit-card-fraud-data-kaggle-paysim-ieee-cis.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 57 archived papers mentioned Credit card fraud data (Kaggle, PaySim, IEEE-CIS) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them… (as of 2026-11-04)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-04T18:03:26+09:00
window: 2026-10-06 to 2026-11-04
source: OpenAlex (CC0)
---

# Credit card fraud data (Kaggle, PaySim, IEEE-CIS)

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/2.md)

Network traffic, intrusion, fraud and anomaly records used to compare detection methods.

- data category: Cybersecurity and anomaly detection benchmarks
- 0 papers in the last 7 days
- Names searched for: credit card fraud detection dataset, European cardholders, PaySim, IEEE-CIS

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Cybersecurity and anomaly detection benchmarks datasets: https://scholar4ai.com/datasets/cybersecurity-and-anomaly-detection-benchmarks.md



## Key findings

- From Nov 2023 to Oct 2026, 57 archived papers mentioned Credit card fraud data (Kaggle, PaySim, IEEE-CIS) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Feb 2024 (6).
- No paper of the tracked journals mentioned Credit card fraud data (Kaggle, PaySim, IEEE-CIS) in the last 30 days (2026-10-06 to 2026-11-04).
- From 2017 to 2026 (so far), Credit card fraud data (Kaggle, PaySim, IEEE-CIS) was mentioned in 67 papers in the tracked journals, most of them in AI (59), information systems (3) and finance (2).
- 17 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were Florida Atlantic University (9), Southern University of Science and Technology (6) and Alexandria University (2).
- The journals publishing most of them were Journal Of Big Data (15), IEEE Transactions on Neural Networks and Learning Systems (13) and IEEE Transactions on Fuzzy Systems (10).
- The most-cited of them is “Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods” (Journal Of Big Data, 2024), with 633 citations.
- Papers use Credit card fraud data (Kaggle, PaySim, IEEE-CIS) most often with Kaggle (20), mlg-ulb/creditcardfraud (13) and UCI Machine Learning Repository (6); it has 6 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

## Mentions over 36 months

*Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 24 | 17 | 16 | 57 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 0 | 0 | 0 | 1 | 12 | 23 | 12 | 11 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| All categories | 0 | 0 | 0 | 0 | 0 | 1 | 12 | 23 | 17 | 14 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 15 |
| 2 | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 13 |
| 3 | [IEEE Transactions on Fuzzy Systems](https://scholar4ai.com/journals/ieee-transactions-on-fuzzy-systems.md) | 10 |
| 4 | [IEEE Transactions on Evolutionary Computation](https://scholar4ai.com/journals/ieee-transactions-on-evolutionary-computation.md) | 5 |
| 5 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 3 |
| 6 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2 |
| 7 | [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | 2 |
| 8 | [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | 2 |
| 9 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2 |
| 10 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 1 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | Florida Atlantic University | 9 |
| 2 | [Southern University of Science and Technology](https://scholar4ai.com/institutions/southern-university-of-science-and-technology.md) | 6 |
| 3 | Alexandria University | 2 |
| 4 | [Chongqing University](https://scholar4ai.com/institutions/chongqing-university.md) | 2 |
| 5 | Damanhour University | 2 |
| 6 | [Hong Kong Polytechnic University](https://scholar4ai.com/institutions/hong-kong-polytechnic-university.md) | 2 |
| 7 | Matrouh University | 2 |
| 8 | [Universidad de Granada](https://scholar4ai.com/institutions/universidad-de-granada.md) | 2 |
| 9 | [University of Pisa](https://scholar4ai.com/institutions/university-of-pisa.md) | 2 |
| 10 | Western Kentucky University | 2 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 13 |
| 2 | United States | 12 |
| 3 | Australia | 7 |
| 4 | United Kingdom | 6 |
| 5 | Egypt | 5 |
| 6 | Italy | 5 |
| 7 | Spain | 4 |
| 8 | Hong Kong | 4 |
| 9 | United Arab Emirates | 3 |
| 10 | Japan | 3 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [class imbalance](https://scholar4ai.com/keywords/class-imbalance.md) | 15 |
| 2 | credit card fraud detection | 15 |
| 3 | fraud detection | 6 |
| 4 | binary classification | 5 |
| 5 | [explainable AI](https://scholar4ai.com/keywords/explainable-ai.md) | 5 |
| 6 | [SHAP](https://scholar4ai.com/keywords/shap.md) | 4 |
| 7 | [XGBoost](https://scholar4ai.com/keywords/xgboost.md) | 4 |
| 8 | data scarcity | 4 |
| 9 | [ensemble learning](https://scholar4ai.com/keywords/ensemble-learning.md) | 4 |
| 10 | feature importance | 4 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 633 | 20.2 | [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) | 2024-03-26 | Huanjing Wang, Qianxin Liang, John Hancock et al. |
| 2 | 372 | 6.6 | [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) | 2022-02-25 | Emmanuel Ileberi, Yanxia Sun, Zenghui Wang |
| 3 | 197 | 6.3 | [Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications](https://doi.org/10.1109/tnnls.2024.3371592) | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 2024-04-01 | Ming Li, Alessio Micheli, Yu Guang Wang et al. |
| 4 | 117 | 4.3 | [Breaking the data barrier: a review of deep learning techniques for democratizing AI with small datasets](https://doi.org/10.1007/s10462-024-10859-3) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2024-08-02 | Ishfaq Hussain Rather, Sushil Kumar, Amir H. Gandomi |
| 5 | 115 | 3.5 | [Self-Triggered Approximate Optimal Neuro-Control for Nonlinear Systems Through Adaptive Dynamic Programming](https://doi.org/10.1109/tnnls.2024.3362800) | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 2024-02-14 | Bo Zhao, Shunchao Zhang, Derong Liu |

## Used together with

Papers use Credit card fraud data (Kaggle, PaySim, IEEE-CIS) most often with Kaggle (20), mlg-ulb/creditcardfraud (13) and UCI Machine Learning Repository (6); it has 6 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

*What papers use Credit card fraud data (Kaggle, PaySim, IEEE-CIS) together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [Kaggle](https://scholar4ai.com/datasets/kaggle.md) | Dataset | 20 | 24.8 |
| [mlg-ulb/creditcardfraud](https://scholar4ai.com/code/kaggle-mlg-ulb-creditcardfraud.md) | Data repository | 13 | 281.3 |
| [UCI Machine Learning Repository](https://scholar4ai.com/datasets/uci-machine-learning-repository.md) | Dataset | 6 | 6.8 |
| [ImageNet](https://scholar4ai.com/datasets/imagenet.md) | Dataset | 5 | 1.5 |
| [Twitter / X](https://scholar4ai.com/datasets/twitter-x.md) | Dataset | 4 | 0.7 |
| [Wikipedia](https://scholar4ai.com/datasets/wikipedia.md) | Dataset | 3 | 2.1 |

The whole network: https://scholar4ai.com/code/network.md

## Cite this page

Scholar4AI. (2026). Credit card fraud data (Kaggle, PaySim, IEEE-CIS). Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/credit-card-fraud-data-kaggle-paysim-ieee-cis

```bibtex
@misc{scholar4ai-datasets-credit-card-fraud-data-kaggle-paysim-ieee-cis,
  author = {{Scholar4AI}},
  title = {Credit card fraud data (Kaggle, PaySim, IEEE-CIS)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/credit-card-fraud-data-kaggle-paysim-ieee-cis}},
  urldate = {2026-11-04},
  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/).