tensorflow (R package): papers linking to it

CRAN · CRAN.R-project.org/package=tensorflow

← Code and data repositories cited in research papers

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

7 papers in the tracked journals link to tensorflow (R package) in their Crossref records, the first in 2021; most of them (2) in 2025.
By category: Finance (2), Information Systems (2) and Statistics (2); the journals with the most are European Actuarial Journal (2), Business & Information Systems Engineering (1) and Computational Statistics (1).
2 of the papers build on one another: a later paper cites an earlier one that also links tensorflow (R package).

By year#

20212025

Papers linking to tensorflow (R package) by publication year
Year	Papers
2021	2
2022	2
2024	1
2025	2

Journals#

Journals whose papers link to tensorflow (R package) most
Journal	Papers
European Actuarial Journal	2
Business & Information Systems Engineering	1
Computational Statistics	1
Neural Computing and Applications	1
International Journal of Information Management Data Insights	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 tensorflow (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2021-03-10	Benchmarking Energy Quantification Methods to Predict Heating Energy Performance of Residential Buildings in Germany	Business & Information Systems Engineering	Simon Wenninger, Christian Wiethe	47	cites it
2022-04-01	Predicting reactions to anomalies in stock movements using a feed-forward deep learning network	International Journal of Information Management Data Insights	Talal Alsulaiman	21	cites it
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
2025-01-13	Time series forecasting via integrating a filtering method: an application to electricity consumption	Computational Statistics	Felipe Leite Coelho da Silva, Josiane da Silva Cordeiro, Kleyton da Costa et al.	4	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
2025-07-20	DeepJAM: Joint alignment of multivariate quasi-periodic functional data using deep learning	Statistics and Computing	Vi Thanh Pham, Jonas Bille Nielsen, Klaus Fuglsang Kofoed et al.	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). tensorflow (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-tensorflow

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