fda.usc (R package): papers linking to it

CRAN · CRAN.R-project.org/package=fda.usc

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to fda.usc (R package) (https://CRAN.R-project.org/package=fda.usc), 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 fda.usc (R package) in their Crossref records, the first in 2019; most of them (2) in 2019.
By category: Statistics (3) and AI (1); the journals with the most are Computational Statistics (1), Neural Networks (1) and Journal of Multivariate Analysis (1).
2 of the papers build on one another: a later paper cites an earlier one that also links fda.usc (R package).

By year#

20192025

Papers linking to fda.usc (R package) by publication year
Year	Papers
2019	2
2020	1
2025	1

Journals#

Journals whose papers link to fda.usc (R package) most
Journal	Papers
Computational Statistics	1
Neural Networks	1
Journal of Multivariate Analysis	1
Statistical Papers	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.

Wild bootstrap bandwidth selection of recursive nonparametric relative regression for independent functional data Journal of Multivariate Analysis, 2019
- Recursive non-parametric kernel classification rule estimation for independent functional data Computational Statistics, 2020 — cites the paper above

Papers linking to fda.usc (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2019-05-17	Wild bootstrap bandwidth selection of recursive nonparametric relative regression for independent functional data	Journal of Multivariate Analysis	Yousri Slaoui	20	cites it
2019-01-01	FPCA-based estimation for generalized functional partially linear models	Statistical Papers	Ruiyuan Cao, Jiang Du, Jianjun Zhou et al.	14	cites it
2025-12-09	2D Time-varying functional modeling framework for multi-scale solar irradiance forecasting	Neural Networks	Chengdong Shi, Wei Zhao, Xiao‐Jun Zeng et al.	2	cites it
2020-08-18	Recursive non-parametric kernel classification rule estimation for independent functional data	Computational Statistics	Yousri Slaoui	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). fda.usc (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-fda-usc

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

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