---
title: "Taiwan credit card default (UCI): papers using it"
description: "From Nov 2023 to Oct 2026, 29 archived papers mentioned Taiwan credit card default (UCI) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2025 (4)."
url: https://scholar4ai.com/datasets/taiwan-credit-card-default-uci
markdown_url: https://scholar4ai.com/datasets/taiwan-credit-card-default-uci.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 29 archived papers mentioned Taiwan credit card default (UCI) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2025 (4). (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# Taiwan credit card default (UCI)

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/6.md)

Loan-level lending data and the public datasets used to train credit-scoring models.

- data category: Credit scoring and lending data
- 0 papers in the last 7 days
- Names searched for: default of credit card clients, Taiwan credit card, Taiwanese credit card

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Credit scoring and lending data datasets: https://scholar4ai.com/datasets/credit-scoring-and-lending-data.md



## Key findings

- From Nov 2023 to Oct 2026, 29 archived papers mentioned Taiwan credit card default (UCI) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2025 (4).
- Taiwan credit card default (UCI) was mentioned in 2 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #127 of the 246 datasets mentioned.
- By journal category: AI (1) and Finance (1).
- Most of them appeared in Data Mining and Knowledge Discovery (1) and Financial Innovation (1).
- From 2017 to 2026 (so far), Taiwan credit card default (UCI) was mentioned in 30 papers in the tracked journals, most of them in AI (23), finance (2) and operations research (2).
- 13 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were KU Leuven (2), Tsinghua University (2) and UNSW Sydney (2).
- The journals publishing most of them were Machine Learning (6), Neural Computing and Applications (3) and Knowledge and Information Systems (2).
- The most-cited of them is “Vertical Federated Learning: Concepts, Advances, and Challenges” (IEEE Transactions on Knowledge and Data Engineering, 2024), with 395 citations.
- Papers use Taiwan credit card default (UCI) most often with UCI Machine Learning Repository (21), Kaggle (13) and German Credit (UCI Statlog) (8); 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 |
|---|---:|---:|---:|---:|
|  | 6 | 11 | 12 | 29 |

## 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 | 0 | 1 | 6 | 10 | 6 |
| [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 | 0 | 1 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| All categories | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 13 | 9 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 6 |
| 2 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 3 |
| 3 | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 2 |
| 4 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 2 |
| 5 | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 2 |
| 6 | [Decision Support Systems](https://scholar4ai.com/journals/decision-support-systems.md) | 1 |
| 7 | [Annals of Operations Research](https://scholar4ai.com/journals/annals-of-operations-research.md) | 1 |
| 8 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 1 |
| 9 | [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | 1 |
| 10 | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 1 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [KU Leuven](https://scholar4ai.com/institutions/ku-leuven.md) | 2 |
| 2 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 2 |
| 3 | [UNSW Sydney](https://scholar4ai.com/institutions/unsw-sydney.md) | 2 |
| 4 | Universidade Estadual de Campinas (UNICAMP) | 2 |
| 5 | University of Antwerp | 2 |
| 6 | ARC Centre of Excellence for Automated Decision-Making and Society | 1 |
| 7 | Banking Academy of Vietnam | 1 |
| 8 | Callaghan Innovation | 1 |
| 9 | [China University of Mining and Technology](https://scholar4ai.com/institutions/china-university-of-mining-and-technology.md) | 1 |
| 10 | [Copenhagen Business School](https://scholar4ai.com/institutions/copenhagen-business-school.md) | 1 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 4 |
| 2 | Australia | 3 |
| 3 | Germany | 3 |
| 4 | Spain | 3 |
| 5 | Hong Kong | 3 |
| 6 | United States | 3 |
| 7 | Austria | 2 |
| 8 | Belgium | 2 |
| 9 | Brazil | 2 |
| 10 | United Kingdom | 2 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | algorithmic fairness | 6 |
| 2 | [explainable AI](https://scholar4ai.com/keywords/explainable-ai.md) | 6 |
| 3 | counterfactual explanations | 4 |
| 4 | fairness metrics | 4 |
| 5 | sensitive attributes | 4 |
| 6 | tabular data | 4 |
| 7 | credit scoring | 3 |
| 8 | [random forest](https://scholar4ai.com/keywords/random-forest.md) | 3 |
| 9 | vertical federated learning | 3 |
| 10 | bias mitigation | 2 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 395 | 11.9 | [Vertical Federated Learning: Concepts, Advances, and Challenges](https://doi.org/10.1109/tkde.2024.3352628) | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 2024-01-26 | Yang Liu, Yan Kang, Tianyuan Zou et al. |
| 2 | 117 | 10.8 | [Accuracy, precision, recall, f1-score, or MCC? empirical evidence from advanced statistics, ML, and XAI for evaluating business predictive models](https://doi.org/10.1186/s40537-025-01313-4) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 2025-12-09 | Khaled Mahmud Sujon, rohayanti  binti hassan, Kwonhue Choi et al. |
| 3 | 84 | 2.5 | [A machine learning-based credit risk prediction engine system using a stacked classifier and a filter-based feature selection method](https://doi.org/10.1186/s40537-024-00882-0) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 2024-02-01 | Emmanuel Ileberi, Yanxia Sun, Zenghui Wang |
| 4 | 40 | 1.9 | [Vertical federated learning: a structured literature review](https://doi.org/10.1007/s10115-025-02356-y) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 2025-02-13 | Afsana Khan, Marijn ten Thij, Anna Wilbik |
| 5 | 27 | 0.7 | [Generating collective counterfactual explanations in score-based classification via mathematical optimization](https://doi.org/10.1016/j.eswa.2023.121954) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2023-10-13 | Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales |

## Used together with

Papers use Taiwan credit card default (UCI) most often with UCI Machine Learning Repository (21), Kaggle (13) and German Credit (UCI Statlog) (8); 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 Taiwan credit card default (UCI) together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [UCI Machine Learning Repository](https://scholar4ai.com/datasets/uci-machine-learning-repository.md) | Dataset | 21 | 53.2 |
| [Kaggle](https://scholar4ai.com/datasets/kaggle.md) | Dataset | 13 | 36.0 |
| [German Credit (UCI Statlog)](https://scholar4ai.com/datasets/german-credit-uci-statlog.md) | Dataset | 8 | 111.9 |
| [Home Credit](https://scholar4ai.com/datasets/home-credit.md) | Dataset | 4 | 490.7 |
| [MIMIC](https://scholar4ai.com/datasets/mimic.md) | Dataset | 4 | 18.9 |
| [MNIST / Fashion-MNIST](https://scholar4ai.com/datasets/mnist-fashion-mnist.md) | Dataset | 3 | 4.3 |

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

## Papers

*Papers mentioning Taiwan credit card default (UCI) in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-29 | [Extending PPCEF: probabilistically plausible counterfactual explanations for regression and heterogeneous tabular data](https://doi.org/10.1007/s10618-026-01286-9) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Oleksii Furman, Ł.ukasz Lenkiewicz, Jerzy Stefanowski et al. | Wrocław University of Science and Technology; Poznań University of Technology |
| 2026-10-16 | [Generative deep learning for class imbalance in credit risk modeling: comparative evaluation of synthetic oversampling methods and an elastic oversampling extension](https://doi.org/10.1186/s40854-026-00970-5) | [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | Tae Yeon Kwon | Hankuk University of Foreign Studies |

## Cite this page

Scholar4AI. (2026). Taiwan credit card default (UCI). Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/taiwan-credit-card-default-uci

```bibtex
@misc{scholar4ai-datasets-taiwan-credit-card-default-uci,
  author = {{Scholar4AI}},
  title = {Taiwan credit card default (UCI)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/taiwan-credit-card-default-uci}},
  urldate = {2026-11-05},
  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/).