Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

Deci-AI/super-gradients: 3.0.8: papers linking to it

Zenodo · Software · 2023 · archives github.com/deci-ai/super-gradients · doi.org/10.5281/zenodo.7789328

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to Deci-AI/super-gradients: 3.0.8 (https://doi.org/10.5281/zenodo.7789328), 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.

Share: X LinkedIn Bluesky Threads Facebook Reddit Hacker News Hatena LINE Email
Copy:

Key findings#

  • 3 papers in the tracked journals link to the Zenodo dataset Deci-AI/super-gradients: 3.0.8 in their Crossref records, the first in 2025; most of them (2) in 2025.
  • By category: AI (3); the journals with the most are Expert Systems with Applications (1), Machine Learning (1) and Cognitive Computation (1).

By year#

2025: 2 papers2026: 1 paper
20252026
Papers linking to Deci-AI/super-gradients: 3.0.8 by publication year
YearPapers
20252
20261

Journals#

Journals whose papers link to Deci-AI/super-gradients: 3.0.8 most
JournalPapers
Expert Systems with Applications1
Machine Learning1
Cognitive Computation1
Papers linking to Deci-AI/super-gradients: 3.0.8, most cited first
PublishedTitleJournalAuthorsCitationsLink
2025-09-27IMPACT-Net: An integrated multi-scale and computation-efficient timely network for surface defect detection in industrial embedded systemsExpert Systems with ApplicationsRuiqi Wu, Yong Zhang, Rukai Lan et al.5cites it
2025-09-03Optimized YOLOv8 for lightweight and high-precision metal surface defect detection in industrial applicationsMachine LearningRuiping Li, Linchang Zhao, Hao Wei et al.3cites it
2026-09-05Artificial Intelligence Based Framework for Student Engagement Assessment in Classroom EnvironmentsCognitive ComputationMunish Saini, Harsh Sharma, Eshan Sengupta0cites 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). Deci-AI/super-gradients: 3.0.8: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-7789328

@misc{scholar4ai-code-zenodo-7789328,
  author = {{Scholar4AI}},
  title = {Deci-AI/super-gradients: 3.0.8: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-7789328}},
  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).