open-mmlab/mmpose: papers linking to it

GitHub · 8,022 stars · 1,542 forks · Python · license Apache-2.0 · created 2020 · github.com/open-mmlab/mmpose

← Code and data repositories cited in research papers

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.

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#

20232026

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	4
Expert Systems with Applications	3
Knowledge-Based Systems	2
Neural Computing and Applications	2
Applied Intelligence	1

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	Knowledge-Based Systems	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	International Journal of Computer Vision	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	Expert Systems with Applications	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	Expert Systems with Applications	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	Expert Systems with Applications	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	International Journal of Computer Vision	Kristen Lorraine Grauman, Andrew Westbury, Lorenzo Torresani et al.	3	cites it
2024-12-14	FabuLight-ASD: unveiling speech activity via body language	Neural Computing and Applications	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	Pattern Recognition	Siyuan Li, Xinde Li, Xinde Li et al.	1	cites it
2026-05-20	Leveraging Synthetic Data for Enhancing Egocentric Hand-Object Interaction Detection	International Journal of Computer Vision	Rosario Leonardi, Antonino Furnari, Francesco Ragusa et al.	1	cites it
2025-07-24	Pyramidal structure-correlated refinement for robust face alignment	Knowledge-Based Systems	Qiyuan Dai, Qiang Ling	0	cites it
2025-12-01	Decoupled pre-training and multi-modality fusion for fine-grained action quality assessment	Applied Intelligence	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	Neural Computing and Applications	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	International Journal of Computer Vision	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

@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}
}

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