---
title: "mloey1/ahcd1: papers citing this dataset"
description: "3 papers in the tracked journals link to the Kaggle dataset mloey1/ahcd1 in their Crossref records, the first in 2020; most of them (3) in 2020."
url: https://scholar4ai.com/code/kaggle-mloey1-ahcd1
markdown_url: https://scholar4ai.com/code/kaggle-mloey1-ahcd1.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 mloey1/ahcd1 in their Crossref records, the first in 2020; most of them (3) in 2020. (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)
---

# mloey1/ahcd1: papers linking to it

Research papers in the 480 tracked journals that link to mloey1/ahcd1 (https://www.kaggle.com/datasets/mloey1/ahcd1), 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/mloey1/ahcd1

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

## Key findings

- 3 papers in the tracked journals link to the Kaggle dataset mloey1/ahcd1 in their Crossref records, the first in 2020; most of them (3) in 2020.
- By category: AI (3); the journals with the most are Neural Computing and Applications (3).

## By year

*Papers linking to mloey1/ahcd1 by publication year*

| Year | Papers |
|---|---:|
| 2020 | 3 |

## Journals

*Journals whose papers link to mloey1/ahcd1 most*

| Journal | Papers |
|---|---:|
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 3 |

## Papers

*Papers linking to mloey1/ahcd1, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2020-06-28 | [Arabic handwriting recognition system using convolutional neural network](https://doi.org/10.1007/s00521-020-05070-8) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Νajwa Altwaijry, Isra M. Al-Turaiki | 228 | cites it |
| 2020-10-23 | [A new Arabic handwritten character recognition deep learning system (AHCR-DLS)](https://doi.org/10.1007/s00521-020-05397-2) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Hossam Magdy Balaha, Hesham Arafat Ali, Mohamed Sabry Saraya et al. | 112 | cites it |
| 2020-07-17 | [Automatic recognition of handwritten Arabic characters: a comprehensive review](https://doi.org/10.1007/s00521-020-05137-6) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Hossam Magdy Balaha, Hesham Arafat Ali, Mahmoud Badawy | 69 | 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). mloey1/ahcd1: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-mloey1-ahcd1

```bibtex
@misc{scholar4ai-code-kaggle-mloey1-ahcd1,
  author = {{Scholar4AI}},
  title = {mloey1/ahcd1: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-mloey1-ahcd1}},
  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/).