---
title: "open-mmlab/mmpose: papers citing this GitHub repository"
description: "13 papers in the tracked journals link to the GitHub repository open-mmlab/mmpose in their Crossref records, the first in 2023; most of them (6) in 2025."
url: https://scholar4ai.com/code/github-open-mmlab-mmpose
markdown_url: https://scholar4ai.com/code/github-open-mmlab-mmpose.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "13 papers in the tracked journals link to the GitHub repository open-mmlab/mmpose in their Crossref records, the first in 2023; most of them (6) 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/mmpose: papers linking to it

Research papers in the 480 tracked journals that link to open-mmlab/mmpose (https://github.com/open-mmlab/mmpose), 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
- 8,022 stars
- 1,542 forks
- Python
- license Apache-2.0
- created 2020
- https://github.com/open-mmlab/mmpose

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

## Key findings

- 13 papers in the tracked journals link to the GitHub repository open-mmlab/mmpose in their Crossref records, the first in 2023; most of them (6) in 2025.
- By category: AI (13); the journals with the most are International Journal of Computer Vision (4), Expert Systems with Applications (3) and Knowledge-Based Systems (2).

## By year

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

| Year | Papers |
|---|---:|
| 2023 | 1 |
| 2024 | 2 |
| 2025 | 6 |
| 2026 | 4 |

## Journals

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

| Journal | Papers |
|---|---:|
| [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 4 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 3 |
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 2 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 2 |
| [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2024-04-23 | [Recognizing affective states from the expressive behavior of tennis players using convolutional neural networks](https://doi.org/10.1016/j.knosys.2024.111856) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Darko Jekauc, Diana Burkart, Julian Fritsch et al. | 14 | cites it |
| 2025-02-07 | [Learning Structure-Supporting Dependencies via Keypoint Interactive Transformer for General Mammal Pose Estimation](https://doi.org/10.1007/s11263-025-02355-0) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Tianyang Xu, Jiyong Rao, Xiaoning Song et al. | 9 | cites it |
| 2023-01-01 | [Data, Language and Graph-Based Reasoning Methods for Identification of Human Malicious Behaviors in Nuclear Security](https://doi.org/10.1016/j.eswa.2023.121367) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Zhan Li, Xingyu Song, Shi Chen et al. | 5 | cites it |
| 2025-06-03 | [Multi-modal isolated sign language recognition based on self-paced learning](https://doi.org/10.1016/j.eswa.2025.128340) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Yazhou Ren, Hongkai Li, Yuhao Li et al. | 4 | cites it |
| 2025-05-07 | [Exploring image and skeleton-based action recognition approaches for clinical in-bed classification of simulated epileptic seizure movements](https://doi.org/10.1016/j.eswa.2025.128043) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Tamás Karácsony, Nicholas Fearns, Denise Birk et al. | 3 | cites it |
| 2025-11-24 | [Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives](https://doi.org/10.1007/s11263-025-02557-6) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Kristen Lorraine Grauman, Andrew Westbury, Lorenzo Torresani et al. | 3 | cites it |
| 2024-12-14 | [FabuLight-ASD: unveiling speech activity via body language](https://doi.org/10.1007/s00521-024-10792-0) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Hugo Carneiro, Stefan Wermter | 1 | cites it |
| 2026-02-27 | [Towards revealing trustworthy emotion states via human-object interaction-aware emotion recognition with vision-language model](https://doi.org/10.1016/j.patcog.2026.113342) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Siyuan Li, Xinde Li, Xinde Li et al. | 1 | cites it |
| 2026-05-20 | [Leveraging Synthetic Data for Enhancing Egocentric Hand-Object Interaction Detection](https://doi.org/10.1007/s11263-026-02838-8) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Rosario Leonardi, Antonino Furnari, Francesco Ragusa et al. | 1 | cites it |
| 2025-07-24 | [Pyramidal structure-correlated refinement for robust face alignment](https://doi.org/10.1016/j.knosys.2025.114098) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Qiyuan Dai, Qiang Ling | 0 | cites it |
| 2025-12-01 | [Decoupled pre-training and multi-modality fusion for fine-grained action quality assessment](https://doi.org/10.1007/s10489-025-07028-6) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Jiahao Guan, Chengming Liu, Lei Shi | 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 |
| 2026-09-01 | [Two-Stage Multi-Modal Fusion with Adaptive Alignment for Action Quality Assessment](https://doi.org/10.1007/s11263-026-02960-7) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Kanglei Zhou, Ruizhi Cai, Xinning Wang 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/mmpose: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-open-mmlab-mmpose

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