qubvel-org/segmentation_models.pytorch: papers linking to it

GitHub · 11,791 stars · 1,851 forks · Python · license MIT · created 2019 · github.com/qubvel-org/segmentation_models.pytorch

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to qubvel-org/segmentation_models.pytorch (https://github.com/qubvel-org/segmentation_models.pytorch), 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 qubvel-org/segmentation_models.pytorch in their Crossref records, the first in 2022; most of them (2) in 2022.
By category: AI (3); the journals with the most are Knowledge-Based Systems (1), Neural Computing and Applications (1) and Pattern Recognition (1).

By year#

20222026

Papers linking to qubvel-org/segmentation_models.pytorch by publication year
Year	Papers
2022	2
2026	1

Journals#

Journals whose papers link to qubvel-org/segmentation_models.pytorch most
Journal	Papers
Knowledge-Based Systems	1
Neural Computing and Applications	1
Pattern Recognition	1

Papers linking to qubvel-org/segmentation_models.pytorch, most cited first
Published	Title	Journal	Authors	Citations	Link
2022-08-16	Individual tree crown delineation in high-resolution remote sensing images based on U-Net	Neural Computing and Applications	Maximilian Freudenberg, Paul Magdon, Nils Nölke	101	cites it
2026-03-21	MedAugment: Universal automatic data augmentation plug-in for medical image analysis	Knowledge-Based Systems	Zhaoshan Liu, Qiujie Lv, Yifan Li et al.	16	cites it
2022-03-07	Graph-based modelling of superpixels for automatic identification of empty shelves in supermarkets	Pattern Recognition	Bikash Santra, Udita Ghosh, Dipti Prasad Mukherjee	4	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). qubvel-org/segmentation_models.pytorch: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-qubvel-org-segmentation-models-pytorch

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

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