--- title: "open-mmlab/mmaction2: papers citing this GitHub repository" description: "8 papers in the tracked journals link to the GitHub repository open-mmlab/mmaction2 in their Crossref records, the first in 2025; most of them (5) in 2026." url: https://scholar4ai.com/code/github-open-mmlab-mmaction2 markdown_url: https://scholar4ai.com/code/github-open-mmlab-mmaction2.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "8 papers in the tracked journals link to the GitHub repository open-mmlab/mmaction2 in their Crossref records, the first in 2025; most of them (5) 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/mmaction2: papers linking to it Research papers in the 480 tracked journals that link to open-mmlab/mmaction2 (https://github.com/open-mmlab/mmaction2), 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 - 5,189 stars - 1,356 forks - Python - license Apache-2.0 - created 2020 - https://github.com/open-mmlab/mmaction2 All repositories: https://scholar4ai.com/code.md ## Key findings - 8 papers in the tracked journals link to the GitHub repository open-mmlab/mmaction2 in their Crossref records, the first in 2025; most of them (5) in 2026. - By category: AI (8); the journals with the most are International Journal of Computer Vision (5), Knowledge-Based Systems (1) and Neural Computing and Applications (1). ## By year *Papers linking to open-mmlab/mmaction2 by publication year* | Year | Papers | |---|---:| | 2025 | 3 | | 2026 | 5 | ## Journals *Journals whose papers link to open-mmlab/mmaction2 most* | Journal | Papers | |---|---:| | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 5 | | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 1 | | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 | | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 | ## Papers *Papers linking to open-mmlab/mmaction2, most cited first* | Published | Title | Journal | Authors | Citations | Link | |---|---|---|---|---:|---| | 2025-06-23 | [From Forest to Zoo: Great Ape Behavior Recognition with ChimpBehave](https://doi.org/10.1007/s11263-025-02484-6) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Michael Fuchs, Émilie Genty, Adrian Bangerter et al. | 11 | 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 | | 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 | | 2026-04-07 | [Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification](https://doi.org/10.1007/s11263-026-02786-3) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Xinrui Zhou, Yuhao Huang, Haoran Dou et al. | 3 | cites it | | 2025-08-06 | [Imperceptible pixel-precise adaptive multi-level sparse adversarial attacks on video recognition models](https://doi.org/10.1016/j.knosys.2025.114225) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Xiaolong Shi, Chuxiao Su, Hui Xia et al. | 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 | | 2026-05-25 | [AlphaChimp: Tracking and Behavior Recognition of Chimpanzees](https://doi.org/10.1007/s11263-026-02867-3) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Xiaoxuan Ma, Yutang Lin, Yuanming Xu et al. | 0 | cites it | | 2026-08-01 | [Multimodal Domain Generalization via Adaptive Dual-Objective Feature Learning](https://doi.org/10.1007/s11263-026-02991-0) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Hongzhao Li, Siwei Liu, Guohao Shen 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/mmaction2: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-open-mmlab-mmaction2 ```bibtex @misc{scholar4ai-code-github-open-mmlab-mmaction2, author = {{Scholar4AI}}, title = {open-mmlab/mmaction2: papers linking to it}, year = {2026}, howpublished = {\url{https://scholar4ai.com/code/github-open-mmlab-mmaction2}}, 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/).