DeepQuestAI/Fire-Smoke-Dataset: papers linking to it

GitHub · 148 stars · 51 forks · Jupyter Notebook · created 2019 · github.com/DeepQuestAI/Fire-Smoke-Dataset

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Research papers in the 480 tracked journals that link to DeepQuestAI/Fire-Smoke-Dataset (https://github.com/DeepQuestAI/Fire-Smoke-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 GitHub repository DeepQuestAI/Fire-Smoke-Dataset in their Crossref records, the first in 2021; most of them (2) in 2024.
By category: AI (3); the journals with the most are Expert Systems with Applications (2) and Pattern Recognition (1).
3 of the papers build on one another: a later paper cites an earlier one that also links DeepQuestAI/Fire-Smoke-Dataset.

By year#

20212024

Papers linking to DeepQuestAI/Fire-Smoke-Dataset by publication year
Year	Papers
2021	1
2024	2

Journals#

Journals whose papers link to DeepQuestAI/Fire-Smoke-Dataset most
Journal	Papers
Expert Systems with Applications	2
Pattern Recognition	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
- Fire and smoke detection from videos: A literature review under a novel taxonomy Expert Systems with Applications, 2024 — cites the paper above
- Optimized cross-module attention network and medium-scale dataset for effective fire detection Pattern Recognition, 2024 — cites the paper above

Papers linking to DeepQuestAI/Fire-Smoke-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
2024-07-14	Fire and smoke detection from videos: A literature review under a novel taxonomy	Expert Systems with Applications	Diego Gragnaniello, Antonio Greco, Carlo Sansone et al.	77	cites it
2024-12-10	Optimized cross-module attention network and medium-scale dataset for effective fire detection	Pattern Recognition	Zulfiqar Ahmad Khan, Fath U Min Ullah, Hikmat Yar et al.	23	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). DeepQuestAI/Fire-Smoke-Dataset: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-deepquestai-fire-smoke-dataset

@misc{scholar4ai-code-github-deepquestai-fire-smoke-dataset,
  author = {{Scholar4AI}},
  title = {DeepQuestAI/Fire-Smoke-Dataset: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-deepquestai-fire-smoke-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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