---
title: "open-mmlab/mmdetection: papers citing it"
description: "6 papers in the tracked journals link to the GitHub repository open-mmlab/mmdetection in their Crossref records, the first in 2020; most of them (1) in 2026."
url: https://scholar4ai.com/code/github-open-mmlab-mmdetection
markdown_url: https://scholar4ai.com/code/github-open-mmlab-mmdetection.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "6 papers in the tracked journals link to the GitHub repository open-mmlab/mmdetection in their Crossref records, the first in 2020; most of them (1) 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)
---

# open-mmlab/mmdetection: papers linking to it

Research papers in the 480 tracked journals that link to open-mmlab/mmdetection (https://github.com/open-mmlab/mmdetection), 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
- 33,022 stars
- 9,817 forks
- Python
- license Apache-2.0
- created 2018
- https://github.com/open-mmlab/mmdetection

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

## Key findings

- 6 papers in the tracked journals link to the GitHub repository open-mmlab/mmdetection in their Crossref records, the first in 2020; most of them (1) in 2026.
- By category: AI (6); the journals with the most are Neural Computing and Applications (2), Knowledge-Based Systems (1) and Applied Intelligence (1).
- Linked repositories derived from it: 1, such as SwinTransformer/Swin-Transformer-Object-Detection.

## By year

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

| Year | Papers |
|---|---:|
| 2020 | 1 |
| 2022 | 1 |
| 2023 | 1 |
| 2024 | 1 |
| 2025 | 1 |
| 2026 | 1 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 2 |
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 1 |
| [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.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 |

## Related repositories

*Linked repositories open-mmlab/mmdetection derives from or that derive from it*

| Repository | Relation | Papers |
|---|---|---:|
| [SwinTransformer/Swin-Transformer-Object-Detection](https://github.com/SwinTransformer/Swin-Transformer-Object-Detection) | fork of open-mmlab/mmdetection | 2 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-02-21 | [CDNet: a real-time and robust crosswalk detection network on Jetson nano based on YOLOv5](https://doi.org/10.1007/s00521-022-07007-9) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Zheng-De Zhang, Menglu Tan, Zhi-Cai Lan et al. | 69 | cites it |
| 2020-08-26 | [Multi-scale structural kernel representation for object detection](https://doi.org/10.1016/j.patcog.2020.107593) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Hao Wang, Qilong Wang, Peihua Li et al. | 24 | cites it |
| 2023-06-17 | [InstaBoost++: Visual Coherence Principles for Unified 2D/3D Instance Level Data Augmentation](https://doi.org/10.1007/s11263-023-01807-9) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Jianhua Sun, Hao-Shu Fang, Yuxuan Li et al. | 5 | cites it |
| 2024-10-28 | [Fusing YOLOv5s-MediaPipe-HRV to classify engagement in E-learning: From the perspective of external observations and internal factors](https://doi.org/10.1016/j.knosys.2024.112670) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Jie Wang, Shuiping Yuan, Tuantuan Lu et al. | 5 | cites it |
| 2025-01-04 | [DT4PEIS: detection transformers for parasitic egg instance segmentation](https://doi.org/10.1007/s10489-024-06199-y) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Jesús Ruiz-Santaquiteria, Aníbal Pedraza, Óscar Déniz et al. | 4 | cites it |
| 2026-03-01 | [Practical weakly supervised object detection: benchmark and method](https://doi.org/10.1007/s00521-026-11842-5) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Huan Cao, Zengping Chen | 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/mmdetection: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-open-mmlab-mmdetection

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