---
title: "tsne (R package): papers citing this CRAN package"
description: "3 papers in the tracked journals link to tsne (R package) in their Crossref records, the first in 2018; most of them (2) in 2019."
url: https://scholar4ai.com/code/cran-tsne
markdown_url: https://scholar4ai.com/code/cran-tsne.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "3 papers in the tracked journals link to tsne (R package) in their Crossref records, the first in 2018; most of them (2) in 2019. (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)
---

# tsne (R package): papers linking to it

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

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

## Key findings

- 3 papers in the tracked journals link to tsne (R package) in their Crossref records, the first in 2018; most of them (2) in 2019.
- By category: Economics (2) and AI (1); the journals with the most are World Development (1), Agricultural and Food Economics (1) and Language Resources and Evaluation (1).
- 2 of the papers build on one another: a later paper cites an earlier one that also links tsne (R package).

## By year

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

| Year | Papers |
|---|---:|
| 2018 | 1 |
| 2019 | 2 |

## Journals

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

| Journal | Papers |
|---|---:|
| [World Development](https://scholar4ai.com/journals/world-development.md) | 1 |
| [Agricultural and Food Economics](https://scholar4ai.com/journals/agricultural-and-food-economics.md) | 1 |
| [Language Resources and Evaluation](https://scholar4ai.com/journals/language-resources-and-evaluation.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Factors affecting adoption of improved sorghum varieties in Tanzania under information and capital constraints](https://doi.org/10.1186/s40100-018-0114-4) (Agricultural and Food Economics, 2018)
  - [A typology of adopters and nonadopters of improved sorghum seeds in Tanzania: A deep learning neural network approach](https://doi.org/10.1016/j.worlddev.2019.104839) (World Development, 2019) — cites the paper above

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2018-10-03 | [Factors affecting adoption of improved sorghum varieties in Tanzania under information and capital constraints](https://doi.org/10.1186/s40100-018-0114-4) | [Agricultural and Food Economics](https://scholar4ai.com/journals/agricultural-and-food-economics.md) | Aloyce R. M. Kaliba, Kizito Mazvimavi, T. Gregory et al. | 81 | cites it |
| 2019-12-18 | [A typology of adopters and nonadopters of improved sorghum seeds in Tanzania: A deep learning neural network approach](https://doi.org/10.1016/j.worlddev.2019.104839) | [World Development](https://scholar4ai.com/journals/world-development.md) | Aloyce R. M. Kaliba, Richard J. Mushi, Anne G. Gongwe et al. | 19 | cites it |
| 2019-04-08 | [Beyond lexical frequencies: using R for text analysis in the digital humanities](https://doi.org/10.1007/s10579-019-09456-6) | [Language Resources and Evaluation](https://scholar4ai.com/journals/language-resources-and-evaluation.md) | Taylor Arnold, Nicolas Ballier, Paula Lissón et al. | 10 | 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). tsne (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-tsne

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