---
title: "paultimothymooney/blood-cells: papers citing this dataset"
description: "4 papers in the tracked journals link to the Kaggle dataset paultimothymooney/blood-cells in their Crossref records, the first in 2020; most of them (3) in 2024."
url: https://scholar4ai.com/code/kaggle-paultimothymooney-blood-cells
markdown_url: https://scholar4ai.com/code/kaggle-paultimothymooney-blood-cells.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "4 papers in the tracked journals link to the Kaggle dataset paultimothymooney/blood-cells in their Crossref records, the first in 2020; most of them (3) 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)
---

# paultimothymooney/blood-cells: papers linking to it

Research papers in the 480 tracked journals that link to paultimothymooney/blood-cells (https://www.kaggle.com/datasets/paultimothymooney/blood-cells), 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/paultimothymooney/blood-cells

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

## Key findings

- 4 papers in the tracked journals link to the Kaggle dataset paultimothymooney/blood-cells in their Crossref records, the first in 2020; most of them (3) in 2024.
- By category: AI (3) and Information Systems (1); the journals with the most are Neural Computing and Applications (2), Telematics and Informatics Reports (1) and Expert Systems with Applications (1).

## By year

*Papers linking to paultimothymooney/blood-cells by publication year*

| Year | Papers |
|---|---:|
| 2020 | 1 |
| 2024 | 3 |

## Journals

*Journals whose papers link to paultimothymooney/blood-cells most*

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

## Papers

*Papers linking to paultimothymooney/blood-cells, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2020-01-16 | [An Automatic Nucleus Segmentation and CNN Model based Classification Method of White Blood Cell](https://doi.org/10.1016/j.eswa.2020.113211) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Partha Pratim Banik, Rappy Saha, Ki‐Doo Kim | 189 | cites it |
| 2024-02-28 | [Leukemia classification using different CNN-based algorithms-comparative study](https://doi.org/10.1007/s00521-024-09554-9) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Areen K. Al‐Bashir, Ruba Khnouf, Lamis R. Bany Issa | 24 | cites it |
| 2024-09-17 | [A deep learning approach for white blood cells image generation and classification using SRGAN and VGG19](https://doi.org/10.1016/j.teler.2024.100163) | [Telematics and Informatics Reports](https://scholar4ai.com/journals/telematics-and-informatics-reports.md) | Jannatul Ferdousi, Soyabul Islam Lincoln, Md. Khorshed Alom et al. | 20 | cites it |
| 2024-08-14 | [HMedCaps: a new hybrid capsule network architecture for complex medical images](https://doi.org/10.1007/s00521-024-10147-9) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Sümeyra Büşra Şengül, İlker Ali Özkan | 4 | 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/blood-cells: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-paultimothymooney-blood-cells

```bibtex
@misc{scholar4ai-code-kaggle-paultimothymooney-blood-cells,
  author = {{Scholar4AI}},
  title = {paultimothymooney/blood-cells: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-paultimothymooney-blood-cells}},
  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/).