kakaobrain/coyo-dataset: papers linking to it

GitHub · 1,255 stars · 36 forks · Python · created 2022 · archived · github.com/kakaobrain/coyo-dataset

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to kakaobrain/coyo-dataset (https://github.com/kakaobrain/coyo-dataset), 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#

3 papers in the tracked journals link to the GitHub repository kakaobrain/coyo-dataset in their Crossref records, the first in 2023; most of them (2) in 2025.
By category: AI (3); the journals with the most are International Journal of Computer Vision (2) and Information Fusion (1).

By year#

20232025

Papers linking to kakaobrain/coyo-dataset by publication year
Year	Papers
2023	1
2025	2

Journals#

Journals whose papers link to kakaobrain/coyo-dataset most
Journal	Papers
International Journal of Computer Vision	2
Information Fusion	1

Papers linking to kakaobrain/coyo-dataset, most cited first
Published	Title	Journal	Authors	Citations	Link
2023-09-07	Transferring Vision-Language Models for Visual Recognition: A Classifier Perspective	International Journal of Computer Vision	Wenhao Wu, Zhun Sun, Yuxin Song et al.	32	cites it
2025-03-14	Expressive Image Generation and Editing with Rich Text	International Journal of Computer Vision	Songwei Ge, Taesung Park, Jun-Yan Zhu et al.	1	cites it
2025-10-05	Scaling down, Powering up: A Survey on the Advancements of Small Vision-Language Models	Information Fusion	Sheikh Iftekhar Ahmed, Muhammad Zubair Hasan, Abrar Jahin Niloy et al.	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). kakaobrain/coyo-dataset: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-kakaobrain-coyo-dataset

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

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