AppliedPredictiveModeling (R package): papers linking to it

CRAN · CRAN.R-project.org/package=AppliedPredictiveModeling

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to AppliedPredictiveModeling (R package) (https://CRAN.R-project.org/package=AppliedPredictiveModeling), 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#

3 papers in the tracked journals link to AppliedPredictiveModeling (R package) in their Crossref records, the first in 2018; most of them (1) in 2026.
By category: Statistics (2) and AI (1); the journals with the most are Journal of Multivariate Analysis (1), Computational Statistics & Data Analysis (1) and Pattern Recognition (1).

By year#

20182026

Papers linking to AppliedPredictiveModeling (R package) by publication year
Year	Papers
2018	1
2019	1
2026	1

Journals#

Journals whose papers link to AppliedPredictiveModeling (R package) most
Journal	Papers
Journal of Multivariate Analysis	1
Computational Statistics & Data Analysis	1
Pattern Recognition	1

Papers linking to AppliedPredictiveModeling (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2019-01-29	A random forests quantile classifier for class imbalanced data	Pattern Recognition	Robert C. O’Brien, Hemant Ishwaran	186	cites it
2018-10-08	Robust two-sample test of high-dimensional mean vectors under dependence	Journal of Multivariate Analysis	Wei Wang, Nan Lin, Xiang Tang	6	cites it
2026-05-16	Mean-field variational Bayes for sparse probit regression	Computational Statistics & Data Analysis	Augusto Fasano, Giovanni Rebaudo	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). AppliedPredictiveModeling (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-appliedpredictivemodeling

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

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