---
title: "taiyun/corrplot: papers citing this GitHub repository"
description: "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."
url: https://scholar4ai.com/code/github-taiyun-corrplot
markdown_url: https://scholar4ai.com/code/github-taiyun-corrplot.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (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)
---

# taiyun/corrplot: papers linking to it

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.

- GitHub
- 347 stars
- 90 forks
- R
- created 2011
- https://github.com/taiyun/corrplot

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

## 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

*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](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 1 |
| [Journal of Economic Dynamics and Control](https://scholar4ai.com/journals/journal-of-economic-dynamics-and-control.md) | 1 |
| [World Development](https://scholar4ai.com/journals/world-development.md) | 1 |
| [Studies In Educational Evaluation](https://scholar4ai.com/journals/studies-in-educational-evaluation.md) | 1 |
| [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | 1 |

## Papers

*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](https://doi.org/10.1016/j.worlddev.2020.105204) | [World Development](https://scholar4ai.com/journals/world-development.md) | 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](https://doi.org/10.1007/s00146-024-02020-z) | [AI & Society](https://scholar4ai.com/journals/ai-society.md) | 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](https://doi.org/10.1016/j.stueduc.2023.101263) | [Studies In Educational Evaluation](https://scholar4ai.com/journals/studies-in-educational-evaluation.md) | 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](https://doi.org/10.1016/j.jedc.2022.104508) | [Journal of Economic Dynamics and Control](https://scholar4ai.com/journals/journal-of-economic-dynamics-and-control.md) | Stanislav Anatolyev, Пырлик Владимир Николаевич | 6 | cites it |
| 2024-09-26 | [Dimensionality reduction through clustering of variables and canonical correlation](https://doi.org/10.1007/s42952-024-00290-3) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | 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](https://doi.org/10.1016/j.csda.2018.12.010) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 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](https://doi.org/10.1016/j.tra.2025.104554) | [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).
