rstudio/tensorflow: papers linking to it

GitHub · 1,341 stars · 316 forks · R · license Apache-2.0 · created 2016 · github.com/rstudio/tensorflow

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to rstudio/tensorflow (https://github.com/rstudio/tensorflow), 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 the GitHub repository rstudio/tensorflow in their Crossref records, the first in 2021; most of them (1) in 2024.
By category: Finance (2) and AI (1); the journals with the most are European Actuarial Journal (2) and Neural Computing and Applications (1).
2 of the papers build on one another: a later paper cites an earlier one that also links rstudio/tensorflow.

By year#

20212024

Papers linking to rstudio/tensorflow by publication year
Year	Papers
2021	1
2022	1
2024	1

Journals#

Journals whose papers link to rstudio/tensorflow most
Journal	Papers
European Actuarial Journal	2
Neural Computing and Applications	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.

Micro-level prediction of outstanding claim counts based on novel mixture models and neural networks European Actuarial Journal, 2022
- Combined modelling of micro-level outstanding claim counts and individual claim frequencies in non-life insurance European Actuarial Journal, 2024 — cites the paper above

Papers linking to rstudio/tensorflow, most cited first
Published	Title	Journal	Authors	Citations	Link
2021-03-10	A flexible framework for anomaly Detection via dimensionality reduction	Neural Computing and Applications	Alireza Vafaei Sadr, Bruce A. Bassett, Martin Kunz	13	cites it
2022-05-12	Micro-level prediction of outstanding claim counts based on novel mixture models and neural networks	European Actuarial Journal	Axel Bücher, Alexander Rosenstock	12	cites it
2024-04-24	Combined modelling of micro-level outstanding claim counts and individual claim frequencies in non-life insurance	European Actuarial Journal	Axel Bücher, Alexander Rosenstock	0	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). rstudio/tensorflow: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-rstudio-tensorflow

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

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