---
title: "caret (R package): papers citing this CRAN package"
description: "27 papers in the tracked journals link to caret (R package) in their Crossref records, the first in 2018; most of them (5) in 2025."
url: https://scholar4ai.com/code/cran-caret
markdown_url: https://scholar4ai.com/code/cran-caret.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "27 papers in the tracked journals link to caret (R package) in their Crossref records, the first in 2018; most of them (5) 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)
---

# caret (R package): papers linking to it

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

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

## Key findings

- 27 papers in the tracked journals link to caret (R package) in their Crossref records, the first in 2018; most of them (5) in 2025.
- By category: AI (8), Statistics (5) and Economics (4); the journals with the most are Land Use Policy (3), Computational Statistics (3) and Pattern Recognition (2).

## By year

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

| Year | Papers |
|---|---:|
| 2018 | 1 |
| 2019 | 5 |
| 2021 | 1 |
| 2022 | 4 |
| 2023 | 5 |
| 2024 | 4 |
| 2025 | 5 |
| 2026 | 2 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Land Use Policy](https://scholar4ai.com/journals/land-use-policy.md) | 3 |
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 3 |
| [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 2 |
| [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 2 |
| [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2019-01-29 | [A random forests quantile classifier for class imbalanced data](https://doi.org/10.1016/j.patcog.2019.01.036) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Robert C. O’Brien, Hemant Ishwaran | 186 | cites it |
| 2019-05-09 | [Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques](https://doi.org/10.1007/s11590-019-01428-7) | [Optimization Letters](https://scholar4ai.com/journals/optimization-letters.md) | Sun Hye Kim, Fani Boukouvala | 119 | cites it |
| 2024-01-31 | [Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms](https://doi.org/10.1007/s10618-024-01002-5) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Rafael Gomes Mantovani, Tomáš Horváth, André Luis Debiaso Rossi et al. | 63 | cites it |
| 2023-11-27 | [A preliminary study for developing perceived ESG scale to measure public perception toward organizations’ ESG performance](https://doi.org/10.1016/j.pubrev.2023.102398) | [Public Relations Review](https://scholar4ai.com/journals/public-relations-review.md) | Hyun Jung Oh, Byoungkwan Lee, Hye Hyun Ma et al. | 60 | cites it |
| 2023-05-01 | [A k nearest neighbour ensemble via extended neighbourhood rule and feature subsets](https://doi.org/10.1016/j.patcog.2023.109641) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Amjad Ali, Muhammad Hamraz, Naz Gul et al. | 44 | cites it |
| 2019-07-18 | [Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines](https://doi.org/10.1016/j.inffus.2019.07.004) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | Francisco J. Pulgar, Francisco Charte, Antonio J. Rivera et al. | 43 | cites it |
| 2022-05-13 | [Forecasting solar stock prices using tree-based machine learning classification: How important are silver prices?](https://doi.org/10.1016/j.najef.2022.101705) | [The North American Journal of Economics and Finance](https://scholar4ai.com/journals/the-north-american-journal-of-economics-and-finance.md) | Perry Sadorsky | 39 | cites it |
| 2019-07-11 | [A hybrid Bayesian-network proposition for forecasting the crude oil price](https://doi.org/10.1186/s40854-019-0144-2) | [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | Babak Fazelabdolabadi | 30 | cites it |
| 2022-11-03 | [Feature selection algorithms in generalized additive models under concurvity](https://doi.org/10.1007/s00180-022-01292-7) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | László Kovács | 27 | cites it |
| 2022-06-09 | [Mass appraisal as affordable public policy: Open data and machine learning for mapping urban land values](https://doi.org/10.1016/j.landusepol.2022.106211) | [Land Use Policy](https://scholar4ai.com/journals/land-use-policy.md) | Juan Pablo Carranza, Mario Andrés Piumetto, Carlos María Lucca et al. | 26 | cites it |
| 2024-03-29 | [A comparative study of methods for estimating model-agnostic Shapley value explanations](https://doi.org/10.1007/s10618-024-01016-z) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Lars Henry Berge Olsen, Ingrid K. Glad, Martin Jullum et al. | 23 | cites it |
| 2024-04-17 | [Hierarchical fuzzy regression functions for mixed predictors and an application to real estate price prediction](https://doi.org/10.1007/s00521-024-09673-3) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Haydar Demirhan, Furkan Başer | 11 | cites it |
| 2023-12-03 | [Grower attitudes and practices toward area-wide management of cropping weeds in Australia](https://doi.org/10.1016/j.landusepol.2023.107001) | [Land Use Policy](https://scholar4ai.com/journals/land-use-policy.md) | Silja Schrader, Sonia Graham, Rebecca Campbell et al. | 10 | cites it |
| 2021-06-10 | [Optimizing B2B product offers with machine learning, mixed logit, and nonlinear programming](https://doi.org/10.1057/s41270-021-00113-y) | [Journal of Marketing Analytics](https://scholar4ai.com/journals/journal-of-marketing-analytics.md) | John V. Colias, Stella Park, Elizabeth Horn | 9 | cites it |
| 2022-03-02 | [Variable selection in Propensity Score Adjustment to mitigate selection bias in online surveys](https://doi.org/10.1007/s00362-022-01296-x) | [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | Ramón Ferri‐García, María del Mar Rueda | 9 | cites it |
| 2025-03-27 | [Learning to use local cuts](https://doi.org/10.1007/s12532-025-00278-y) | [Mathematical Programming Computation](https://scholar4ai.com/journals/mathematical-programming-computation.md) | Timo Berthold, Matteo Francobaldi, Gregor Hendel | 9 | cites it |
| 2024-12-06 | [Alternative ranking measures to predict international football results](https://doi.org/10.1007/s00180-024-01585-z) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Roberto Macrì Demartino, Leonardo Egidi, Nicola Torelli | 8 | cites it |
| 2025-04-16 | [A machine learning approach to assessing multidimensional poverty and targeting assistance among forcibly displaced populations](https://doi.org/10.1016/j.worlddev.2025.107013) | [World Development](https://scholar4ai.com/journals/world-development.md) | Angela Christine Lyons, Alejandro Montoya Castano, Joséphine Kass-Hanna et al. | 8 | cites it |
| 2018-03-15 | [A spatial data pre-processing tool to improve the quality of the analysis and to reduce preparation duration](https://doi.org/10.1016/j.cie.2018.03.025) | [Computers & Industrial Engineering](https://scholar4ai.com/journals/computers-industrial-engineering.md) | Gautier Daras, Bruno Agard A, Bernard Penz | 4 | cites it |
| 2025-03-25 | [DatRel: a noise-tolerant data relocation approach for effective synthetic data generation in imbalanced classifiers](https://doi.org/10.1007/s10994-025-06755-8) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Fatih Sağlam | 4 | cites it |
| 2019-02-05 | [Soul of the community: an attempt to assess attachment to a community](https://doi.org/10.1007/s00180-019-00866-2) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Anna Quach, Jürgen Symanzik, Nicole Forsgren | 3 | cites it |
| 2023-06-05 | [Researcher capacity estimation based on the Q model: a generalized linear mixed model perspective](https://doi.org/10.1007/s11192-023-04756-9) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Boris Forthmann | 3 | cites it |
| 2026-03-07 | [The missing link: Comparing mass appraisal techniques and their implications for urban land valuation policies in Latin America](https://doi.org/10.1016/j.landusepol.2026.107998) | [Land Use Policy](https://scholar4ai.com/journals/land-use-policy.md) | Juan Pablo Carranza, Eduardo Bologna, Carlos María Lucca | 2 | cites it |
| 2023-08-30 | [Regularization Methods for High-Dimensional Data as a Tool for Seafood Traceability](https://doi.org/10.1007/s42519-023-00341-8) | [Journal of Statistical Theory and Practice](https://scholar4ai.com/journals/journal-of-statistical-theory-and-practice.md) | Clara Yokochi, Regina Bispo, Fernando Ricardo et al. | 1 | cites it |
| 2025-11-08 | [Robust personnel rostering: How accurate should absenteeism predictions be?](https://doi.org/10.1007/s10951-025-00858-9) | [Journal of Scheduling](https://scholar4ai.com/journals/journal-of-scheduling.md) | Martina Doneda, Pieter Smet, Giuliana Carello et al. | 1 | cites it |
| 2025-04-01 | [Long-term survival prediction in patients with acute brain lesions using ensemble machine learning algorithms: a cohort study with combined national health insurance service and its self-run hospital database](https://doi.org/10.1186/s40537-025-01133-6) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Dougho Park, Daeyoung Hong, Suntak Jin et al. | 0 | cites it |
| 2026-10-22 | [Synthetic data publishing using Bayesian Network: a case study of COVID-19 patients data in Jakarta, Indonesia](https://doi.org/10.1007/s42001-026-00501-3) | [Journal of Computational Social Science](https://scholar4ai.com/journals/journal-of-computational-social-science.md) | Bahrul Ilmi Nasution, Yudhistira Nugraha, Muhammad Erza Aminanto 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). caret (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-caret

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