phylake1337/fire-dataset: papers linking to it

Kaggle · www.kaggle.com/datasets/phylake1337/fire-dataset

← Code and data repositories cited in research papers

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.

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#

20212022

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	2
Journal Of Big Data	1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Attention based CNN model for fire detection and localization in real-world images Expert Systems with Applications, 2021
- Automated accurate fire detection system using ensemble pretrained residual network Expert Systems with Applications, 2022 — cites the paper above

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	Expert Systems with Applications	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	Expert Systems with Applications	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	Journal Of Big Data	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

@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}
}

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