quantregForest (R package): papers linking to it

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

← Code and data repositories cited in research papers

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

8 papers in the tracked journals link to quantregForest (R package) in their Crossref records, the first in 2018; most of them (2) in 2026.
By category: Economics (3), AI (2) and Operations Research (1); the journals with the most are Mineral Economics (1), Land Use Policy (1) and Transportation Research Part C Emerging Technologies (1).

By year#

20182026

Papers linking to quantregForest (R package) by publication year
Year	Papers
2018	2
2020	1
2022	1
2024	2
2026	2

Journals#

Journals whose papers link to quantregForest (R package) most
Journal	Papers
Mineral Economics	1
Land Use Policy	1
Transportation Research Part C Emerging Technologies	1
Statistics and Computing	1
Finance research letters	1

Papers linking to quantregForest (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2018-05-21	Comparison of intraday probabilistic forecasting of solar irradiance using only endogenous data	International Journal of Forecasting	Mathieu David, Luis Mazorra-Aguiar, Philippe Lauret	69	cites it
2024-02-23	Data-driven multinomial random forest: a new random forest variant with strong consistency	Journal Of Big Data	Junhao Chen, Xueli Wang, Fei Lei	38	cites it
2018-08-20	The predictive value of inequality measures for stock returns: An analysis of long-span UK data using quantile random forests	Finance research letters	Rangan Gupta, Christian Pierdzioch, Andrew J. Vivian et al.	29	cites it
2022-06-09	Mass appraisal as affordable public policy: Open data and machine learning for mapping urban land values	Land Use Policy	Juan Pablo Carranza, Mario Andrés Piumetto, Carlos María Lucca et al.	26	cites it
2020-02-25	A class-specific soft voting framework for customer booking prediction in on-demand transport	Transportation Research Part C Emerging Technologies	Minh Kieu, Yuming Ou, Long T. Truong et al.	13	cites it
2024-08-22	Development of an adaptive reliability analysis framework for reinforced concrete frame structures using uncertainty quantification	Applied Intelligence	Truong-Thang Nguyen, Viet-Hung Dang, Manh-Hung Ha et al.	4	cites it
2026-06-26	Transfer learning for causal forests	Statistics and Computing	Bérénice-Alexia Jocteur, Véronique Maume‐Deschamps, Pierre Ribereau	0	cites it
2026-10-19	Driving renewable energy minerals: the roles of innovation, policy uncertainty, and environmental stringency in China	Mineral Economics	Zohaib Hassan, Deyi Xu, Shah Abbas 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). quantregForest (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-quantregforest

@misc{scholar4ai-code-cran-quantregforest,
  author = {{Scholar4AI}},
  title = {quantregForest (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-quantregforest}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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