Give Me Some Credit

data category: Credit scoring and lending data · 0 papers in the last 7 days

← Most-used data · All Credit scoring and lending data datasets

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

Names searched for: Give Me Some Credit

Key findings#

From Nov 2023 to Oct 2026, 7 archived papers mentioned Give Me Some Credit in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2024 (1).
Give Me Some Credit was mentioned in 1 paper in the last 30 days (2026-10-07 to 2026-11-05), ranking #165 of the 246 datasets mentioned.
By journal category: AI (1).
Most of them appeared in Data Mining and Knowledge Discovery (1).
From 2017 to 2026 (so far), Give Me Some Credit was mentioned in 7 papers in the tracked journals, most of them in AI (5), operations research (1) and economics (1).
1 of them were published in 2025, against 0 in 2017.
Since 2023, the institutions with the most of these papers were Hong Kong University of Science and Technology (1), Imperial College London (1) and Istanbul University (1).
The journals publishing most of them were Artificial Intelligence (1), Annals of Operations Research (1) and Artificial Intelligence Review (1).
The most-cited of them is “Vertical Federated Learning: Concepts, Advances, and Challenges” (IEEE Transactions on Knowledge and Data Engineering, 2024), with 395 citations.

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
	4	1	2	7

Papers per year#

20172026 (so far)

Papers per publication year and category
Category	2024	2025	2026 (so far)
AI	4	0	1
Operations Research	0	0	1
Economics	0	1	0
All categories	4	1	2

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	Artificial Intelligence	1
2	Annals of Operations Research	1
3	Artificial Intelligence Review	1
4	Machine Learning	1
5	Computational Economics	1
6	IEEE Transactions on Knowledge and Data Engineering	1
7	Data Mining and Knowledge Discovery	1

Institutions with the most papers, since 2023
#	Institution	Papers
1	Hong Kong University of Science and Technology	1
2	Imperial College London	1
3	Istanbul University	1
4	Istanbul University-Cerrahpaşa	1
5	Khazar University	1
6	Mohamed bin Zayed University of Artificial Intelligence	1
7	Poznań University of Technology	1
8	Shanghai Artificial Intelligence Laboratory	1
9	Tsinghua University	1
10	University of Groningen	1

Countries with the most papers, since 2023
#	Country	Papers
1	China	2
2	United Kingdom	2
3	United Arab Emirates	1
4	Azerbaijan	1
5	Canada	1
6	Hong Kong	1
7	Iran	1
8	Netherlands	1
9	Poland	1
10	Turkey	1

Keywords with the most papers, since 2023
#	Keyword	Papers
1	counterfactual explanations	2
2	credit risk assessment	2
3	explainable AI	2
4	logistic regression	2
5	privacy-preserving machine learning	2
6	vertical federated learning	2
7	German credit dataset	1
8	SHAP	1
9	artificial neural networks	1
10	asynchronous federated learning	1

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	21	0.8	Comparison of the impact of dimensionality reduction and data splitting on classification performance in credit risk assessment	Artificial Intelligence Review	2024-08-13	Cem Bulut, Emel Arslan
3	9	0.3	Interval abstractions for robust counterfactual explanations	Artificial Intelligence	2024-09-02	Junqi Jiang, Francesco Leofante, Antonio Rago et al.
4	9	0.7	Graph-Based Inductive Learning for Credit Risk Prediction with Imbalance Mitigation	Computational Economics	2025-09-11	Sogand Pourkhoshgoftar, Asadollah Shahbahrami, Nima Esmi
5	6	0.2	Secure and fast asynchronous Vertical Federated Learning via cascaded hybrid optimization	Machine Learning	2024-06-27	Ganyu Wang, Qingsong Zhang, Xiang Li et al.

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.

Papers mentioning Give Me Some Credit 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

Cite this page

Scholar4AI. (2026). Give Me Some Credit. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/give-me-some-credit

@misc{scholar4ai-datasets-give-me-some-credit,
  author = {{Scholar4AI}},
  title = {Give Me Some Credit},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/give-me-some-credit}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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