---
title: "kknn (R package): papers citing this CRAN package"
description: "4 papers in the tracked journals link to kknn (R package) in their Crossref records, the first in 2017; most of them (1) in 2023."
url: https://scholar4ai.com/code/cran-kknn
markdown_url: https://scholar4ai.com/code/cran-kknn.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "4 papers in the tracked journals link to kknn (R package) in their Crossref records, the first in 2017; most of them (1) in 2023. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# kknn (R package): papers linking to it

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

- CRAN
- https://CRAN.R-project.org/package=kknn

All repositories: https://scholar4ai.com/code.md

## Key findings

- 4 papers in the tracked journals link to kknn (R package) in their Crossref records, the first in 2017; most of them (1) in 2023.
- By category: AI (3) and Statistics (1); the journals with the most are Computational Statistics (1), Information Fusion (1) and Machine Learning (1).

## By year

*Papers linking to kknn (R package) by publication year*

| Year | Papers |
|---|---:|
| 2017 | 1 |
| 2019 | 1 |
| 2022 | 1 |
| 2023 | 1 |

## Journals

*Journals whose papers link to kknn (R package) most*

| Journal | Papers |
|---|---:|
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 1 |
| [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 1 |
| [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 1 |
| [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 1 |

## Papers

*Papers linking to kknn (R package), most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-03-04 | [Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features](https://doi.org/10.1007/s00180-022-01207-6) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Florian Pargent, Florian Pfisterer, Janek Thomas et al. | 171 | cites it |
| 2017-12-28 | [Instance spaces for machine learning classification](https://doi.org/10.1007/s10994-017-5629-5) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Mario Andrés Muñoz, Laura Villanova, Davaatseren Baatar et al. | 153 | cites it |
| 2023-05-01 | [A k nearest neighbour ensemble via extended neighbourhood rule and feature subsets](https://doi.org/10.1016/j.patcog.2023.109641) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Amjad Ali, Muhammad Hamraz, Naz Gul et al. | 44 | cites it |
| 2019-07-18 | [Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines](https://doi.org/10.1016/j.inffus.2019.07.004) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | Francisco J. Pulgar, Francisco Charte, Antonio J. Rivera et al. | 43 | 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). kknn (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-kknn

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

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).