---
title: "rekon/Smoke-semantic-segmentation: papers citing it"
description: "3 papers in the tracked journals link to the GitHub repository rekon/Smoke-semantic-segmentation in their Crossref records, the first in 2023; most of them (1) in 2025."
url: https://scholar4ai.com/code/github-rekon-smoke-semantic-segmentation
markdown_url: https://scholar4ai.com/code/github-rekon-smoke-semantic-segmentation.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 GitHub repository rekon/Smoke-semantic-segmentation in their Crossref records, the first in 2023; most of them (1) in 2025. (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)
---

# rekon/Smoke-semantic-segmentation: papers linking to it

Research papers in the 480 tracked journals that link to rekon/Smoke-semantic-segmentation (https://github.com/rekon/Smoke-semantic-segmentation), 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.

- GitHub
- 86 stars
- 28 forks
- Jupyter Notebook
- created 2018
- https://github.com/rekon/Smoke-semantic-segmentation

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

## Key findings

- 3 papers in the tracked journals link to the GitHub repository rekon/Smoke-semantic-segmentation in their Crossref records, the first in 2023; most of them (1) in 2025.
- By category: AI (3); the journals with the most are Pattern Recognition (3).
- 2 of the papers build on one another: a later paper cites an earlier one that also links rekon/Smoke-semantic-segmentation.

## By year

*Papers linking to rekon/Smoke-semantic-segmentation by publication year*

| Year | Papers |
|---|---:|
| 2023 | 1 |
| 2024 | 1 |
| 2025 | 1 |

## Journals

*Journals whose papers link to rekon/Smoke-semantic-segmentation most*

| Journal | Papers |
|---|---:|
| [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 3 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [A lightweight network for smoke semantic segmentation](https://doi.org/10.1016/j.patcog.2022.109289) (Pattern Recognition, 2023)
  - [A newton interpolation network for smoke semantic segmentation](https://doi.org/10.1016/j.patcog.2024.111119) (Pattern Recognition, 2024) — cites the paper above

## Papers

*Papers linking to rekon/Smoke-semantic-segmentation, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2023-01-05 | [A lightweight network for smoke semantic segmentation](https://doi.org/10.1016/j.patcog.2022.109289) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Feiniu Yuan, Kang Li, Chunmei Wang et al. | 47 | cites it |
| 2024-10-30 | [A newton interpolation network for smoke semantic segmentation](https://doi.org/10.1016/j.patcog.2024.111119) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Feiniu Yuan, Guiqian Wang, Qinghua Huang et al. | 15 | cites it |
| 2025-10-02 | [Refining the granularity of smoke representation: SAM-powered density-aware progressive smoke segmentation framework](https://doi.org/10.1016/j.patcog.2025.112517) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Yichao Cao, Feng Yang, Xuanpeng Li et al. | 1 | 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). rekon/Smoke-semantic-segmentation: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-rekon-smoke-semantic-segmentation

```bibtex
@misc{scholar4ai-code-github-rekon-smoke-semantic-segmentation,
  author = {{Scholar4AI}},
  title = {rekon/Smoke-semantic-segmentation: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-rekon-smoke-semantic-segmentation}},
  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/).