fds (R package): papers linking to it
← Code and data repositories cited in research papers
Research papers in the 480 tracked journals that link to fds (R package) (https://CRAN.R-project.org/package=fds), 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 fds (R package) in their Crossref records, the first in 2022; most of them (1) in 2025.
- By category: Statistics (3); the journals with the most are Statistical Papers (1), Computational Statistics (1) and Metrika (1).
By year#
20222025
| Year | Papers |
|---|---|
| 2022 | 1 |
| 2023 | 1 |
| 2025 | 1 |
Journals#
| Journal | Papers |
|---|---|
| Statistical Papers | 1 |
| Computational Statistics | 1 |
| Metrika | 1 |
| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---|---|
| 2022-10-12 | Functional single-index composite quantile regression | Metrika | Zhiqiang Jiang, Zhensheng Huang, Jing Zhang | 14 | cites it |
| 2023-12-01 | Fourier approach to goodness-of-fit tests for Gaussian random processes | Statistical Papers | Petr Čoupek, Viktor Dolník, Zdeněk Hlávka et al. | 5 | cites it |
| 2025-07-30 | Weighted robust hybrid partial least squares regression forest | Computational Statistics | Aylin Alın | 2 | cites it |
How this is measured#
Cite this page
Scholar4AI. (2026). fds (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-fds
@misc{scholar4ai-code-cran-fds,
author = {{Scholar4AI}},
title = {fds (R package): papers linking to it},
year = {2026},
howpublished = {\url{https://scholar4ai.com/code/cran-fds}},
urldate = {2026-11-03},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}