expectreg (R package): papers linking to it

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

← Code and data repositories cited in research papers

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

6 papers in the tracked journals link to expectreg (R package) in their Crossref records, the first in 2016; most of them (1) in 2026.
By category: Statistics (4), Finance (1) and AI (1); the journals with the most are Computational Statistics & Data Analysis (2), European Actuarial Journal (1) and Statistics and Computing (1).
4 of the papers build on one another: a later paper cites an earlier one that also links expectreg (R package).

By year#

20162026

Papers linking to expectreg (R package) by publication year
Year	Papers
2016	1
2017	1
2020	1
2024	1
2025	1
2026	1

Journals#

Journals whose papers link to expectreg (R package) most
Journal	Papers
Computational Statistics & Data Analysis	2
European Actuarial Journal	1
Statistics and Computing	1
Computational Statistics	1
Neural Networks	1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

An SVM-like approach for expectile regression Computational Statistics & Data Analysis, 2016
- KLERC: kernel Lagrangian expectile regression calculator Computational Statistics, 2020 — cites the paper above
An expectile computation cookbook Statistics and Computing, 2024
- Expectiles as basis risk-optimal payment schemes in parametric insurance European Actuarial Journal, 2026 — cites the paper above

Papers linking to expectreg (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2016-12-16	An SVM-like approach for expectile regression	Computational Statistics & Data Analysis	Muhammad Farooq, Ingo Steinwart	43	cites it
2017-07-29	A continuous threshold expectile model	Computational Statistics & Data Analysis	Feipeng Zhang, Qunhua Li	37	cites it
2024-03-23	An expectile computation cookbook	Statistics and Computing	Abdelaati Daouia, Gilles Stupfler, Antoine Usseglio‐Carleve	8	cites it
2025-03-05	Deep Huber quantile regression networks	Neural Networks	Hristos Tyralis, Georgia Papacharalampous, Nilay Doğulu et al.	7	cites it
2026-02-26	Expectiles as basis risk-optimal payment schemes in parametric insurance	European Actuarial Journal	Martin Maier, Matthias A. Scherer	2	cites it
2020-06-25	KLERC: kernel Lagrangian expectile regression calculator	Computational Statistics	Songfeng Zheng	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). expectreg (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-expectreg

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

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