Taiwan credit card default (UCI)

data category: Credit scoring and lending data · 1 paper in the last 7 days

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

Names searched for: default of credit card clients, Taiwan credit card, Taiwanese credit card

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 (2026-10-06 to 2026-11-04), ranking #133 of the 255 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#

20172026 (so far)

Papers per publication year and category
Category	2023	2024	2025	2026 (so far)
AI	1	6	10	6
Finance	0	0	0	2
Operations Research	0	0	2	0
Economics	0	0	0	1
Information Systems	1	0	0	0
Statistics	0	0	1	0
All categories	2	6	13	9

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	Machine Learning	6
2	Neural Computing and Applications	3
3	Knowledge and Information Systems	2
4	Knowledge-Based Systems	2
5	Journal Of Big Data	2
6	Decision Support Systems	1
7	Annals of Operations Research	1
8	Artificial Intelligence Review	1
9	European Journal of Operational Research	1
10	Neural Networks	1

Institutions with the most papers, since 2023
#	Institution	Papers
1	KU Leuven	2
2	Tsinghua University	2
3	UNSW Sydney	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	1
10	Copenhagen Business School	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	6
3	counterfactual explanations	4
4	fairness metrics	4
5	sensitive attributes	4
6	tabular data	4
7	credit scoring	3
8	random forest	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	IEEE Transactions on Knowledge and Data Engineering	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	Journal Of Big Data	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	Journal Of Big Data	2024-02-01	Emmanuel Ileberi, Yanxia Sun, Zenghui Wang
4	40	1.9	Vertical federated learning: a structured literature review	Knowledge and Information Systems	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	Expert Systems with Applications	2023-10-13	Emilio Carrizosa, Jasone Ramírez-Ayerbe, Dolores Romero Morales

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

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. The whole network →

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	Dataset	21	53.2
Kaggle	Dataset	13	36.0
German Credit (UCI Statlog)	Dataset	8	111.9
Home Credit	Dataset	4	490.7
MIMIC	Dataset	4	18.9
MNIST / Fashion-MNIST	Dataset	3	4.3

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	Data Mining and Knowledge Discovery	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	Financial Innovation	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 4, 2026, from https://scholar4ai.com/datasets/taiwan-credit-card-default-uci

@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 = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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