---
title: "tensorflow (R package): papers citing this CRAN package"
description: "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."
url: https://scholar4ai.com/code/cran-tensorflow
markdown_url: https://scholar4ai.com/code/cran-tensorflow.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (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)
---

# tensorflow (R package): papers linking to it

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.

- CRAN
- https://CRAN.R-project.org/package=tensorflow

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

## 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

*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](https://scholar4ai.com/journals/european-actuarial-journal.md) | 2 |
| [Business & Information Systems Engineering](https://scholar4ai.com/journals/business-information-systems-engineering.md) | 1 |
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 1 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |
| [International Journal of Information Management Data Insights](https://scholar4ai.com/journals/international-journal-of-information-management-data-insights.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Micro-level prediction of outstanding claim counts based on novel mixture models and neural networks](https://doi.org/10.1007/s13385-022-00314-4) (European Actuarial Journal, 2022)
  - [Combined modelling of micro-level outstanding claim counts and individual claim frequencies in non-life insurance](https://doi.org/10.1007/s13385-024-00383-7) (European Actuarial Journal, 2024) — cites the paper above

## Papers

*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](https://doi.org/10.1007/s12599-021-00691-2) | [Business & Information Systems Engineering](https://scholar4ai.com/journals/business-information-systems-engineering.md) | Simon Wenninger, Christian Wiethe | 47 | cites it |
| 2022-04-01 | [Predicting reactions to anomalies in stock movements using a feed-forward deep learning network](https://doi.org/10.1016/j.jjimei.2022.100071) | [International Journal of Information Management Data Insights](https://scholar4ai.com/journals/international-journal-of-information-management-data-insights.md) | Talal Alsulaiman | 21 | cites it |
| 2021-03-10 | [A flexible framework for anomaly Detection via dimensionality reduction](https://doi.org/10.1007/s00521-021-05839-5) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 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](https://doi.org/10.1007/s13385-022-00314-4) | [European Actuarial Journal](https://scholar4ai.com/journals/european-actuarial-journal.md) | Axel Bücher, Alexander Rosenstock | 12 | cites it |
| 2025-01-13 | [Time series forecasting via integrating a filtering method: an application to electricity consumption](https://doi.org/10.1007/s00180-024-01595-x) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 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](https://doi.org/10.1007/s13385-024-00383-7) | [European Actuarial Journal](https://scholar4ai.com/journals/european-actuarial-journal.md) | Axel Bücher, Alexander Rosenstock | 0 | cites it |
| 2025-07-20 | [DeepJAM: Joint alignment of multivariate quasi-periodic functional data using deep learning](https://doi.org/10.1007/s11222-025-10678-8) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).