paultimothymooney/breast-histopathology-images: papers linking to it

Kaggle · www.kaggle.com/datasets/paultimothymooney/breast-histopathology-images

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to paultimothymooney/breast-histopathology-images (https://www.kaggle.com/datasets/paultimothymooney/breast-histopathology-images), 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#

4 papers in the tracked journals link to the Kaggle dataset paultimothymooney/breast-histopathology-images in their Crossref records, the first in 2021; most of them (1) in 2026.
By category: AI (4); the journals with the most are Artificial Intelligence Review (1), Knowledge and Information Systems (1) and Journal Of Big Data (1).

By year#

20212026

Papers linking to paultimothymooney/breast-histopathology-images by publication year
Year	Papers
2021	1
2023	1
2025	1
2026	1

Journals#

Journals whose papers link to paultimothymooney/breast-histopathology-images most
Journal	Papers
Artificial Intelligence Review	1
Knowledge and Information Systems	1
Journal Of Big Data	1
Neural Computing and Applications	1

Papers linking to paultimothymooney/breast-histopathology-images, most cited first
Published	Title	Journal	Authors	Citations	Link
2023-07-20	Tackling class imbalance in computer vision: a contemporary review	Artificial Intelligence Review	Manisha Saini, Seba Susan	68	cites it
2025-02-13	Vertical federated learning: a structured literature review	Knowledge and Information Systems	Afsana Khan, Marijn ten Thij, Anna Wilbik	40	cites it
2021-12-01	Performance-efficient distributed transfer and transformation of big spatial histopathology datasets in the cloud	Journal Of Big Data	Esma Yildirim	2	cites it
2026-10-01	Decentralized gossip learning and federated averaging for histopathology image classification	Neural Computing and Applications	Yusuf Öztürk, Bengisu Atli, Enes Goktekin 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). paultimothymooney/breast-histopathology-images: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-paultimothymooney-breast-histopathology-images

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

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