tsne (R package): papers linking to it

← Code and data repositories cited in research papers

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.

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#

20182019

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	1
Agricultural and Food Economics	1
Language Resources and Evaluation	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.

Factors affecting adoption of improved sorghum varieties in Tanzania under information and capital constraints Agricultural and Food Economics, 2018
- A typology of adopters and nonadopters of improved sorghum seeds in Tanzania: A deep learning neural network approach World Development, 2019 — cites the paper above

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	Agricultural and Food Economics	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	World Development	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	Language Resources and Evaluation	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

@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}
}

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