---
title: "FNN (R package): papers citing this CRAN package"
description: "4 papers in the tracked journals link to FNN (R package) in their Crossref records, the first in 2018; most of them (1) in 2024."
url: https://scholar4ai.com/code/cran-fnn
markdown_url: https://scholar4ai.com/code/cran-fnn.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 FNN (R package) in their Crossref records, the first in 2018; most of them (1) in 2024. (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)
---

# FNN (R package): papers linking to it

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

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

## Key findings

- 4 papers in the tracked journals link to FNN (R package) in their Crossref records, the first in 2018; most of them (1) in 2024.
- By category: AI (4); the journals with the most are Data Mining and Knowledge Discovery (2), Expert Systems with Applications (1) and Machine Learning (1).

## By year

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

| Year | Papers |
|---|---:|
| 2018 | 1 |
| 2019 | 1 |
| 2022 | 1 |
| 2024 | 1 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 2 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2019-11-21 | [On normalization and algorithm selection for unsupervised outlier detection](https://doi.org/10.1007/s10618-019-00661-z) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Sevvandi Kandanaarachchi, Mario Andrés Muñoz, Rob J. Hyndman et al. | 62 | cites it |
| 2018-12-10 | [Piecewise regression analysis through information criteria using mathematical programming](https://doi.org/10.1016/j.eswa.2018.12.013) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Ioannis Gkioulekas, Lazaros G. Papageorgiou | 45 | cites it |
| 2024-09-24 | [A data- and knowledge-driven framework for developing machine learning models to predict soccer match outcomes](https://doi.org/10.1007/s10994-024-06625-9) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Daniel Berrar, Philippe Lopes, Werner Dubitzky | 15 | cites it |
| 2022-12-06 | [Shapley values for cluster importance](https://doi.org/10.1007/s10618-022-00896-3) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Andreas Brandsæter, Ingrid K. Glad | 12 | 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). FNN (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-fnn

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