---
title: "awsaf49/cbis-ddsm-breast-cancer-image-dataset"
description: "3 papers in the tracked journals link to the Kaggle dataset awsaf49/cbis-ddsm-breast-cancer-image-dataset in their Crossref records, the first in 2025; most of them (3) in 2025."
url: https://scholar4ai.com/code/kaggle-awsaf49-cbis-ddsm-breast-cancer-image-dataset
markdown_url: https://scholar4ai.com/code/kaggle-awsaf49-cbis-ddsm-breast-cancer-image-dataset.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "3 papers in the tracked journals link to the Kaggle dataset awsaf49/cbis-ddsm-breast-cancer-image-dataset in their Crossref records, the first in 2025; most of them (3) in 2025. (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)
---

# awsaf49/cbis-ddsm-breast-cancer-image-dataset: papers linking to it

Research papers in the 480 tracked journals that link to awsaf49/cbis-ddsm-breast-cancer-image-dataset (https://www.kaggle.com/datasets/awsaf49/cbis-ddsm-breast-cancer-image-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.

- Kaggle
- https://www.kaggle.com/datasets/awsaf49/cbis-ddsm-breast-cancer-image-dataset

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

## Key findings

- 3 papers in the tracked journals link to the Kaggle dataset awsaf49/cbis-ddsm-breast-cancer-image-dataset in their Crossref records, the first in 2025; most of them (3) in 2025.
- By category: AI (3); the journals with the most are Expert Systems with Applications (2) and Neural Computing and Applications (1).

## By year

*Papers linking to awsaf49/cbis-ddsm-breast-cancer-image-dataset by publication year*

| Year | Papers |
|---|---:|
| 2025 | 3 |

## Journals

*Journals whose papers link to awsaf49/cbis-ddsm-breast-cancer-image-dataset most*

| Journal | Papers |
|---|---:|
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |

## Papers

*Papers linking to awsaf49/cbis-ddsm-breast-cancer-image-dataset, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2025-06-16 | [Enhancing mammogram classification using explainable Conditional Self-Attention Generative Adversarial Network](https://doi.org/10.1016/j.eswa.2025.128640) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | K. Sreekala, Jayakrushna Sahoo | 8 | cites it |
| 2025-09-04 | [Breast cancer classification by converging tumour region probability density and texture feature-based clustering](https://doi.org/10.1007/s00521-025-11596-6) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Bersha Kumari, Amita Nandal, Arvind Dhaka et al. | 1 | cites it |
| 2025-10-28 | [Student–teacher model based breast cancer classification approach with depthwise separable layers](https://doi.org/10.1016/j.eswa.2025.130098) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Yogesh Haridas Jadhav, Bhuvan Unhelkar, Pravin R. Kshirsagar 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). awsaf49/cbis-ddsm-breast-cancer-image-dataset: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-awsaf49-cbis-ddsm-breast-cancer-image-dataset

```bibtex
@misc{scholar4ai-code-kaggle-awsaf49-cbis-ddsm-breast-cancer-image-dataset,
  author = {{Scholar4AI}},
  title = {awsaf49/cbis-ddsm-breast-cancer-image-dataset: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-awsaf49-cbis-ddsm-breast-cancer-image-dataset}},
  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/).