givemesomecredit: papers linking to it

Kaggle · www.kaggle.com/competitions/givemesomecredit

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to givemesomecredit (https://www.kaggle.com/competitions/givemesomecredit), 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#

6 papers in the tracked journals link to the Kaggle dataset givemesomecredit in their Crossref records, the first in 2024; most of them (4) in 2026.
By category: AI (4), Economics (1) and Operations Research (1); the journals with the most are Expert Systems with Applications (2), Computational Economics (1) and Journal of Optimization Theory and Applications (1).

By year#

20242026

Papers linking to givemesomecredit by publication year
Year	Papers
2024	1
2025	1
2026	4

Journals#

Journals whose papers link to givemesomecredit most
Journal	Papers
Expert Systems with Applications	2
Computational Economics	1
Journal of Optimization Theory and Applications	1
Information Fusion	1
Machine Learning	1

Papers linking to givemesomecredit, most cited first
Published	Title	Journal	Authors	Citations	Link
2024-06-27	Secure and fast asynchronous Vertical Federated Learning via cascaded hybrid optimization	Machine Learning	Ganyu Wang, Qingsong Zhang, Xiang Li et al.	6	cites it
2026-02-06	Breaking barriers in federated transfer learning: A systematic review on federated transfer learning for non-overlapping domains	Expert Systems with Applications	Tasnim Binte Shiraj, Sobhana Jahan, Md. Rawnak Saif Adib et al.	6	cites it
2026-01-16	The impact of machine learning uncertainty on the robustness of counterfactual explanations	Expert Systems with Applications	Leonidas Christodoulou, Chang Sun	1	cites it
2025-12-19	RA-MD: An RKHS-based adaptive Mahalanobis distance to enhance counterfactual explanations for neural networks	Information Fusion	Ao Xu, Yukai Zhang, Tieru Wu	0	cites it
2026-01-07	LightGBM Scorecard based on SHAP values	Computational Economics	Yutae Choi, Eunji Cha	0	cites it
2026-06-30	Mixed-Integer Optimization for Cross-Validated Feature Selection in Linear Classification	Journal of Optimization Theory and Applications	Robert Purcaru, David Islip, Roy H. Kwon	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). givemesomecredit: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-competition-givemesomecredit

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

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).