---
title: "open-mmlab/mmpretrain: papers citing it"
description: "4 papers in the tracked journals link to the GitHub repository open-mmlab/mmpretrain in their Crossref records, the first in 2025; most of them (3) in 2025."
url: https://scholar4ai.com/code/github-open-mmlab-mmpretrain
markdown_url: https://scholar4ai.com/code/github-open-mmlab-mmpretrain.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "4 papers in the tracked journals link to the GitHub repository open-mmlab/mmpretrain in their Crossref records, the first in 2025; most of them (3) 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)
---

# open-mmlab/mmpretrain: papers linking to it

Research papers in the 480 tracked journals that link to open-mmlab/mmpretrain (https://github.com/open-mmlab/mmpretrain), 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
- 3,863 stars
- 1,109 forks
- Python
- license Apache-2.0
- created 2020
- https://github.com/open-mmlab/mmpretrain

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

## Key findings

- 4 papers in the tracked journals link to the GitHub repository open-mmlab/mmpretrain in their Crossref records, the first in 2025; most of them (3) in 2025.
- By category: AI (4); the journals with the most are Neural Networks (1), Neural Computing and Applications (1) and Pattern Recognition (1).

## By year

*Papers linking to open-mmlab/mmpretrain by publication year*

| Year | Papers |
|---|---:|
| 2025 | 3 |
| 2026 | 1 |

## Journals

*Journals whose papers link to open-mmlab/mmpretrain most*

| Journal | Papers |
|---|---:|
| [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 1 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |
| [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 1 |
| [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 1 |

## Papers

*Papers linking to open-mmlab/mmpretrain, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2025-06-03 | [From ReLU to GeMU: Activation functions in the lens of cone projection](https://doi.org/10.1016/j.neunet.2025.107654) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Jiayun Li, Yuxiao Cheng, Yiwen Lu et al. | 9 | cites it |
| 2025-07-18 | [Towards Balanced Representation Learning with Semantic Anchor Regularization](https://doi.org/10.1007/s11263-025-02519-y) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Chengjie Wang, Qiang Nie, Ying Chen et al. | 0 | cites it |
| 2025-11-05 | [Enhancing local attention with global information interaction via progressive cluster propagation](https://doi.org/10.1016/j.patcog.2025.112713) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Jingfan Hang, Xianqiang Yang | 0 | cites it |
| 2026-04-21 | [FineEdu: a fine-grained class students behavior understanding dataset with jointly action and attention annotations](https://doi.org/10.1007/s00521-025-11757-7) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Zhijun Zhang, Zhijun Zhang, Ziyue Feng 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). open-mmlab/mmpretrain: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-open-mmlab-mmpretrain

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