fdapace (R package): papers linking to it

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

← Code and data repositories cited in research papers

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

5 papers in the tracked journals link to fdapace (R package) in their Crossref records, the first in 2020; most of them (2) in 2023.
By category: Statistics (3), AI (1) and Economics (1); the journals with the most are Computational Statistics (1), Information Processing & Management (1) and Journal of Econometrics (1).

By year#

20202026

Papers linking to fdapace (R package) by publication year
Year	Papers
2020	1
2023	2
2025	1
2026	1

Journals#

Journals whose papers link to fdapace (R package) most
Journal	Papers
Computational Statistics	1
Information Processing & Management	1
Journal of Econometrics	1
Computational Statistics & Data Analysis	1
Metrika	1

Papers linking to fdapace (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2020-06-09	Efficient Estimation for Varying-Coefficient Mixed Effects Models with Functional Response Data	Metrika	Xiong Cai, Liugen Xue, Xiaolong Pu et al.	6	cites it
2023-11-04	Dynamic modeling for multivariate functional and longitudinal data	Journal of Econometrics	Siteng Hao, Shu‐Chin Lin, Jane-Ling Wang et al.	5	cites it
2023-05-22	Tree-based boosting with functional data	Computational Statistics	Xiaomeng Ju, Matías Salibián‐Barrera	1	cites it
2026-02-06	Functional data clustering and outlier identification via subgroup analysis with minimum spanning tree	Information Processing & Management	Chao Liu, Shimin Lin, Jiaqi Li	1	cites it
2025-09-08	Measure selection for functional linear model	Computational Statistics & Data Analysis	Su I Iao, Hans-Georg Müller	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). fdapace (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-fdapace

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

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