pcaPP (R package): papers linking to it

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to pcaPP (R package) (https://CRAN.R-project.org/package=pcaPP), 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 pcaPP (R package) in their Crossref records, the first in 2021; most of them (1) in 2023.
By category: Economics (1), Statistics (1) and AI (1); the journals with the most are Journal of Economic Dynamics and Control (1), Statistics and Computing (1) and Machine Learning (1).

By year#

20212023

Papers linking to pcaPP (R package) by publication year
Year	Papers
2021	1
2022	1
2023	1

Journals#

Journals whose papers link to pcaPP (R package) most
Journal	Papers
Journal of Economic Dynamics and Control	1
Statistics and Computing	1
Machine Learning	1

Papers linking to pcaPP (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2021-11-18	A review on instance ranking problems in statistical learning	Machine Learning	Tino Werner	14	cites it
2023-11-02	Cauchy robust principal component analysis with applications to high-dimensional data sets	Statistics and Computing	Aisha Fayomi, Yannis Pantazis, Michail Tsagris et al.	11	cites it
2022-08-10	Copula shrinkage and portfolio allocation in ultra-high dimensions	Journal of Economic Dynamics and Control	Stanislav Anatolyev, Пырлик Владимир Николаевич	6	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). pcaPP (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-pcapp

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

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