home-credit-default-risk: papers linking to it

Kaggle · www.kaggle.com/competitions/home-credit-default-risk

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to home-credit-default-risk (https://www.kaggle.com/competitions/home-credit-default-risk), 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.

Key findings#

4 papers in the tracked journals link to the Kaggle dataset home-credit-default-risk in their Crossref records, the first in 2025; most of them (2) in 2026.
By category: AI (3) and Operations Research (1); the journals with the most are Annals of Operations Research (1), Neural Computing and Applications (1) and Machine Learning (1).

By year#

20252026

Papers linking to home-credit-default-risk by publication year
Year	Papers
2025	2
2026	2

Journals#

Journals whose papers link to home-credit-default-risk most
Journal	Papers
Annals of Operations Research	1
Neural Computing and Applications	1
Machine Learning	1
Knowledge and Information Systems	1

Papers linking to home-credit-default-risk, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-08-05	Best practices for responsible machine learning in credit scoring	Neural Computing and Applications	Giovani Valdrighi, Athyrson M. Ribeiro, Jansen S. B. Pereira et al.	13	cites it
2025-02-17	A novel financial performance metric to minimize misclassification costs in model selection	Annals of Operations Research	J. Kent Martin, Mali Abdollahian, Sona Taheri et al.	1	cites it
2026-01-06	AdaptiveSSL: a unified semi-supervised learning framework for robust classification via adaptive uncertainty calibration and dynamic labeling	Knowledge and Information Systems	Usman Gani Joy, M. M. Rahman	1	cites it
2026-09-01	P$$^{2}$$CE: Model-Agnostic Plausible Pareto-Optimal Counterfactual Explanations	Machine Learning	Arthur Hendricks, Giovani Valdrighi, Marcos M. Raimundo	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). home-credit-default-risk: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-competition-home-credit-default-risk

@misc{scholar4ai-code-kaggle-competition-home-credit-default-risk,
  author = {{Scholar4AI}},
  title = {home-credit-default-risk: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-competition-home-credit-default-risk}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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