CUB (R package): papers linking to it

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to CUB (R package) (https://CRAN.R-project.org/package=CUB), 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 CUB (R package) in their Crossref records, the first in 2020; most of them (2) in 2024.
By category: Statistics (3) and Operations Research (1); the journals with the most are Computational Statistics & Data Analysis (1), Annals of Operations Research (1) and Statistical Papers (1).
2 of the papers build on one another: a later paper cites an earlier one that also links CUB (R package).

By year#

20202026

Papers linking to CUB (R package) by publication year
Year	Papers
2020	1
2024	2
2026	1

Journals#

Journals whose papers link to CUB (R package) most
Journal	Papers
Computational Statistics & Data Analysis	1
Annals of Operations Research	1
Statistical Papers	1
Computational Statistics	1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

An accelerated EM algorithm for mixture models with uncertainty for rating data Computational Statistics, 2020
- Factor augmented CUB model for multivariate ordinal data Computational Statistics & Data Analysis, 2026 — cites the paper above

Papers linking to CUB (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2020-06-22	An accelerated EM algorithm for mixture models with uncertainty for rating data	Computational Statistics	Rosaria Simone	14	cites it
2024-05-20	A mixture distribution for modelling bivariate ordinal data	Statistical Papers	Ryan H. L. Ip, Kejin Wu	4	cites it
2024-04-20	Cub model-based clustering of Likert-type data with a tourist satisfaction application	Annals of Operations Research	Nicolò Biasetton, Pierpaolo D’Urso, Marta Disegna et al.	2	cites it
2026-03-21	Factor augmented CUB model for multivariate ordinal data	Computational Statistics & Data Analysis	Zhi Zheng, Weiping Zhang, Yu Chen	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). CUB (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-cub

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

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