neuralnet (R package): papers linking to it

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

← Code and data repositories cited in research papers

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.

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#

20182026

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	1
Transportation Research Part C Emerging Technologies	1
Expert Systems with Applications	1
Computational Economics	1
Journal of Business Economics	1

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	Transportation Research Part C Emerging Technologies	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	International Journal of Information Management Data Insights	Talal Alsulaiman	21	cites it
2023-03-04	Forecasting accuracy of machine learning and linear regression: evidence from the secondary CAT bond market	Journal of Business Economics	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	Expert Systems with Applications	Jasmien Lismont, Sudha Ram, Jan Vanthienen et al.	15	cites it
2024-08-09	Global quantitative robustness of regression feed-forward neural networks	Neural Computing and Applications	Tino Werner	4	cites it
2024-05-10	An experiment with ANNs and Long-Tail Probability Ranking to Obtain Portfolios with Superior Returns	Computational Economics	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	Journal of Marketing Analytics	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

@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}
}

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