bindata (R package): papers linking to it

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

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to bindata (R package) (https://CRAN.R-project.org/package=bindata), 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 bindata (R package) in their Crossref records, the first in 2018; most of them (3) in 2018.
By category: Statistics (3) and AI (1); the journals with the most are Computational Statistics (2), Journal of Statistical Planning and Inference (1) and Knowledge and Information Systems (1).

By year#

20182024

Papers linking to bindata (R package) by publication year
Year	Papers
2018	3
2024	1

Journals#

Journals whose papers link to bindata (R package) most
Journal	Papers
Computational Statistics	2
Journal of Statistical Planning and Inference	1
Knowledge and Information Systems	1

Papers linking to bindata (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2018-07-06	Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise	Knowledge and Information Systems	Ronaldo Cristiano Prati, Julián Luengo, Francisco Herrera	27	cites it
2018-02-28	Working correlation structure selection in generalized estimating equations	Computational Statistics	Liya Fu, Yangyang Hao, You‐Gan Wang	11	cites it
2018-10-04	Inferences with generalized partially linear single-index models for longitudinal data	Journal of Statistical Planning and Inference	Quan Cai, Suojin Wang	5	cites it
2024-12-21	Bayesian optimal design for $$2 \times 2$$ binary crossover trials using copula	Computational Statistics	Satya Prakash Singh, Deepak Prajapati	1	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). bindata (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-bindata

@misc{scholar4ai-code-cran-bindata,
  author = {{Scholar4AI}},
  title = {bindata (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-bindata}},
  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).