taiyun/corrplot: papers linking to it

GitHub · 347 stars · 90 forks · R · created 2011 · github.com/taiyun/corrplot

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to taiyun/corrplot (https://github.com/taiyun/corrplot), 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 the GitHub repository taiyun/corrplot in their Crossref records, the first in 2019; most of them (2) in 2024.
By category: Statistics (2), Economics (2) and Higher Education and Research (1); the journals with the most are Computational Statistics & Data Analysis (1), Journal of Economic Dynamics and Control (1) and World Development (1).

By year#

20192025

Papers linking to taiyun/corrplot by publication year
Year	Papers
2019	1
2020	1
2022	1
2023	1
2024	2
2025	1

Journals#

Journals whose papers link to taiyun/corrplot most
Journal	Papers
Computational Statistics & Data Analysis	1
Journal of Economic Dynamics and Control	1
World Development	1
Studies In Educational Evaluation	1
Transportation Research Part A Policy and Practice	1

Papers linking to taiyun/corrplot, most cited first
Published	Title	Journal	Authors	Citations	Link
2020-10-13	Energy access for marginalized communities: Evidence from rural North India, 2015–2018	World Development	Setu Pelz, Namrata Chindarkar, Johannes Urpelainen	50	cites it
2024-08-16	Drawing the full picture on diverging findings: adjusting the view on the perception of art created by artificial intelligence	AI & Society	Nicolas Eric Neef, Sarah Zabel, Maria Papoli et al.	28	cites it
2023-04-22	Is it possible to redress noninstructional biases in student evaluation of teaching surveys? Quantitative analysis in accounting and finance courses	Studies In Educational Evaluation	José Luis Arroyo Barrigüete, Carmen Bada, Leopoldo Lazcano et al.	8	cites it
2022-08-10	Copula shrinkage and portfolio allocation in ultra-high dimensions	Journal of Economic Dynamics and Control	Stanislav Anatolyev, Пырлик Владимир Николаевич	6	cites it
2024-09-26	Dimensionality reduction through clustering of variables and canonical correlation	Journal of the Korean Statistical Society	Juan Manuel Muñoz Pichardo, Rafael Pino‐Mejías, María-Dolores Cubiles-de-la-Vega et al.	5	cites it
2019-01-04	Initial robust estimation in generalized linear models	Computational Statistics & Data Analysis	Claudio Agostinelli, Marina Valdora, Vı́ctor J. Yohai	4	cites it
2025-06-12	Four-year trends of personal mobility devices in metropolitan vancouver: The evolution of mode shares, speeds, and comfort in off-street paths	Transportation Research Part A Policy and Practice	Amir Hassanpour, Alexander York Bigazzi	3	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). taiyun/corrplot: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-taiyun-corrplot

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

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