---
title: "facebookresearch/SlowFast: papers citing it"
description: "5 papers in the tracked journals link to the GitHub repository facebookresearch/SlowFast in their Crossref records, the first in 2022; most of them (2) in 2026."
url: https://scholar4ai.com/code/github-facebookresearch-slowfast
markdown_url: https://scholar4ai.com/code/github-facebookresearch-slowfast.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "5 papers in the tracked journals link to the GitHub repository facebookresearch/SlowFast in their Crossref records, the first in 2022; most of them (2) in 2026. (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)
---

# facebookresearch/SlowFast: papers linking to it

Research papers in the 480 tracked journals that link to facebookresearch/SlowFast (https://github.com/facebookresearch/SlowFast), 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
- 7,443 stars
- 1,295 forks
- Python
- license Apache-2.0
- created 2019
- https://github.com/facebookresearch/SlowFast

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

## Key findings

- 5 papers in the tracked journals link to the GitHub repository facebookresearch/SlowFast in their Crossref records, the first in 2022; most of them (2) in 2026.
- By category: AI (5); the journals with the most are International Journal of Computer Vision (3), Neural Computing and Applications (1) and Data Mining and Knowledge Discovery (1).

## By year

*Papers linking to facebookresearch/SlowFast by publication year*

| Year | Papers |
|---|---:|
| 2022 | 1 |
| 2024 | 1 |
| 2025 | 1 |
| 2026 | 2 |

## Journals

*Journals whose papers link to facebookresearch/SlowFast most*

| Journal | Papers |
|---|---:|
| [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 3 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |
| [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 1 |

## Papers

*Papers linking to facebookresearch/SlowFast, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-12-21 | [Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers](https://doi.org/10.1007/s10618-022-00895-4) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Ashish Singh, Antonio Bevilacqua, Thach Le Nguyen et al. | 25 | cites it |
| 2024-06-27 | [PosMLP-Video: Spatial and Temporal Relative Position Encoding for Efficient Video Recognition](https://doi.org/10.1007/s11263-024-02154-z) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Yanbin Hao, Diansong Zhou, Zhicai Wang et al. | 9 | cites it |
| 2026-01-17 | [Selective Volume Mixup for Video Action Recognition](https://doi.org/10.1007/s11263-025-02605-1) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Yi Tan, Zhaofan Qiu, Yanbin Hao et al. | 3 | cites it |
| 2025-08-11 | [Are you Struggling? Dataset and Baselines for Struggle Determination in Assembly Videos](https://doi.org/10.1007/s11263-025-02559-4) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Shijia Feng, Michael Wray, Brian Sullivan et al. | 2 | cites it |
| 2026-09-30 | [Multimodal microvideo understanding based on the shared transformer structure](https://doi.org/10.1007/s00521-026-12409-0) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Zhaokai Zhong, Wei Zhang, Hai Yu et al. | 0 | 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). facebookresearch/SlowFast: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-facebookresearch-slowfast

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