---
title: "phylake1337/fire-dataset: papers citing this dataset"
description: "3 papers in the tracked journals link to the Kaggle dataset phylake1337/fire-dataset in their Crossref records, the first in 2021; most of them (2) in 2021."
url: https://scholar4ai.com/code/kaggle-phylake1337-fire-dataset
markdown_url: https://scholar4ai.com/code/kaggle-phylake1337-fire-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 phylake1337/fire-dataset in their Crossref records, the first in 2021; most of them (2) in 2021. (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)
---

# phylake1337/fire-dataset: papers linking to it

Research papers in the 480 tracked journals that link to phylake1337/fire-dataset (https://www.kaggle.com/datasets/phylake1337/fire-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/phylake1337/fire-dataset

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

## Key findings

- 3 papers in the tracked journals link to the Kaggle dataset phylake1337/fire-dataset in their Crossref records, the first in 2021; most of them (2) in 2021.
- By category: AI (3); the journals with the most are Expert Systems with Applications (2) and Journal Of Big Data (1).
- 2 of the papers build on one another: a later paper cites an earlier one that also links phylake1337/fire-dataset.

## By year

*Papers linking to phylake1337/fire-dataset by publication year*

| Year | Papers |
|---|---:|
| 2021 | 2 |
| 2022 | 1 |

## Journals

*Journals whose papers link to phylake1337/fire-dataset most*

| Journal | Papers |
|---|---:|
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2 |
| [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Attention based CNN model for fire detection and localization in real-world images](https://doi.org/10.1016/j.eswa.2021.116114) (Expert Systems with Applications, 2021)
  - [Automated accurate fire detection system using ensemble pretrained residual network](https://doi.org/10.1016/j.eswa.2022.117407) (Expert Systems with Applications, 2022) — cites the paper above

## Papers

*Papers linking to phylake1337/fire-dataset, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2021-10-26 | [Attention based CNN model for fire detection and localization in real-world images](https://doi.org/10.1016/j.eswa.2021.116114) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Saima Majid, Fayadh S. Alenezi, Sarfaraz Masood et al. | 256 | cites it |
| 2022-05-02 | [Automated accurate fire detection system using ensemble pretrained residual network](https://doi.org/10.1016/j.eswa.2022.117407) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Şengül Doğan, Prabal Datta Barua, Hüseyin Kutlu et al. | 85 | cites it |
| 2021-06-05 | [Automatic analysis of social media images to identify disaster type and infer appropriate emergency response](https://doi.org/10.1186/s40537-021-00471-5) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Amna Asif, Shaheen Khatoon, Md Maruf Hasan et al. | 61 | 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). phylake1337/fire-dataset: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-phylake1337-fire-dataset

```bibtex
@misc{scholar4ai-code-kaggle-phylake1337-fire-dataset,
  author = {{Scholar4AI}},
  title = {phylake1337/fire-dataset: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-phylake1337-fire-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/).