Breakthrough/PySceneDetect: papers linking to it

GitHub · 5,324 stars · 552 forks · Python · license BSD-3-Clause · created 2014 · github.com/Breakthrough/PySceneDetect

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to Breakthrough/PySceneDetect (https://github.com/Breakthrough/PySceneDetect), 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#

3 papers in the tracked journals link to the GitHub repository Breakthrough/PySceneDetect in their Crossref records, the first in 2023; most of them (1) in 2026.
By category: AI (3); the journals with the most are International Journal of Computer Vision (2) and Pattern Recognition (1).

By year#

20232026

Papers linking to Breakthrough/PySceneDetect by publication year
Year	Papers
2023	1
2025	1
2026	1

Journals#

Journals whose papers link to Breakthrough/PySceneDetect most
Journal	Papers
International Journal of Computer Vision	2
Pattern Recognition	1

Papers linking to Breakthrough/PySceneDetect, most cited first
Published	Title	Journal	Authors	Citations	Link
2023-04-28	Towards Automated Ethogramming: Cognitively-Inspired Event Segmentation for Streaming Wildlife Video Monitoring	International Journal of Computer Vision	Ramy Mounir, Ahmed Shahabaz, Roman Gula et al.	6	cites it
2026-02-09	Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input	International Journal of Computer Vision	Jiajun Liu, Yibing Wang, Hanghang Ma et al.	5	cites it
2025-12-29	Advancing zero-shot humorous video understanding with test-time humor knowledge augmentation	Pattern Recognition	Yayun Qi, Xinxiao Wu	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). Breakthrough/PySceneDetect: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-breakthrough-pyscenedetect

@misc{scholar4ai-code-github-breakthrough-pyscenedetect,
  author = {{Scholar4AI}},
  title = {Breakthrough/PySceneDetect: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-breakthrough-pyscenedetect}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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