milesial/Pytorch-UNet: papers linking to it

GitHub · 11,746 stars · 2,772 forks · Python · license GPL-3.0 · created 2017 · github.com/milesial/Pytorch-UNet

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to milesial/Pytorch-UNet (https://github.com/milesial/Pytorch-UNet), 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 milesial/Pytorch-UNet in their Crossref records, the first in 2021; most of them (1) in 2023.
By category: AI (3); the journals with the most are Expert Systems with Applications (1), Neural Computing and Applications (1) and International Journal of Computer Vision (1).

By year#

20212023

Papers linking to milesial/Pytorch-UNet by publication year
Year	Papers
2021	1
2022	1
2023	1

Journals#

Journals whose papers link to milesial/Pytorch-UNet most
Journal	Papers
Expert Systems with Applications	1
Neural Computing and Applications	1
International Journal of Computer Vision	1

Papers linking to milesial/Pytorch-UNet, most cited first
Published	Title	Journal	Authors	Citations	Link
2021-03-20	Non-destructive internal disorder detection of Conference pears by semantic segmentation of X-ray CT scans using deep learning	Expert Systems with Applications	Tim Van De Looverbosch, Ellen Raeymaekers, Pieter Verboven et al.	63	cites it
2022-01-30	U-Net skip-connection architectures for the automated counting of microplastics	Neural Computing and Applications	Ka Shing Lee, Hui Ling Chen, Yong Sin Ng et al.	36	cites it
2023-06-08	Skeletonizing Caenorhabditis elegans Based on U-Net Architectures Trained with a Multi-worm Low-Resolution Synthetic Dataset	International Journal of Computer Vision	Pablo E. Layana Castro, Antonio García Garví, Francisco Navarro Moya et al.	10	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). milesial/Pytorch-UNet: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-milesial-pytorch-unet

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

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).