---
title: "neuralnet (R package): papers citing this CRAN package"
description: "7 papers in the tracked journals link to neuralnet (R package) in their Crossref records, the first in 2018; most of them (2) in 2024."
url: https://scholar4ai.com/code/cran-neuralnet
markdown_url: https://scholar4ai.com/code/cran-neuralnet.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 neuralnet (R package) in their Crossref records, the first in 2018; most of them (2) in 2024. (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)
---

# neuralnet (R package): papers linking to it

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

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

## Key findings

- 7 papers in the tracked journals link to neuralnet (R package) in their Crossref records, the first in 2018; most of them (2) in 2024.
- By category: AI (2), Marketing (1) and Operations Research (1); the journals with the most are Journal of Marketing Analytics (1), Transportation Research Part C Emerging Technologies (1) and Expert Systems with Applications (1).

## By year

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

| Year | Papers |
|---|---:|
| 2018 | 2 |
| 2022 | 1 |
| 2023 | 1 |
| 2024 | 2 |
| 2026 | 1 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Journal of Marketing Analytics](https://scholar4ai.com/journals/journal-of-marketing-analytics.md) | 1 |
| [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | 1 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | 1 |
| [Journal of Business Economics](https://scholar4ai.com/journals/journal-of-business-economics.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2018-07-25 | [Assessing carbon emissions from road transport through traffic flow estimators](https://doi.org/10.1016/j.trc.2018.07.020) | [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | Silvio Nocera, Cayetano Ruiz de Alarcón Quintero, Federico Cavallaro | 72 | 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 |
| 2023-03-04 | [Forecasting accuracy of machine learning and linear regression: evidence from the secondary CAT bond market](https://doi.org/10.1007/s11573-023-01138-8) | [Journal of Business Economics](https://scholar4ai.com/journals/journal-of-business-economics.md) | Tobias Götze, Marc Gürtler, Eileen Witowski | 17 | cites it |
| 2018-03-18 | [Predicting interpurchase time in a retail environment using customer-product networks: An empirical study and evaluation](https://doi.org/10.1016/j.eswa.2018.03.016) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Jasmien Lismont, Sudha Ram, Jan Vanthienen et al. | 15 | cites it |
| 2024-08-09 | [Global quantitative robustness of regression feed-forward neural networks](https://doi.org/10.1007/s00521-024-10289-w) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Tino Werner | 4 | cites it |
| 2024-05-10 | [An experiment with ANNs and Long-Tail Probability Ranking to Obtain Portfolios with Superior Returns](https://doi.org/10.1007/s10614-024-10605-5) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Alexandre Silva de Oliveira, Paulo Sérgio Ceretta, Daniel Pastorek | 1 | cites it |
| 2026-08-17 | [Three methodological approaches, one framework: combining SEM, QCA and ANN in marketing analytics](https://doi.org/10.1057/s41270-026-00523-w) | [Journal of Marketing Analytics](https://scholar4ai.com/journals/journal-of-marketing-analytics.md) | A. Mohammed Abubakar, Alexandre Borisovich Sukhov, Joseph F. Hair | 1 | 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). neuralnet (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-neuralnet

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