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

ultralytics/yolov5: v4.0 - nn.SiLU() activations, Weights & Biases logging, PyTorch Hub integration: papers linking to it

Zenodo · Software · 2021 · archives github.com/ultralytics/yolov5 · doi.org/10.5281/zenodo.4418161

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to ultralytics/yolov5: v4.0 - nn.SiLU() activations, Weights & Biases logging, PyTorch Hub integration (https://doi.org/10.5281/zenodo.4418161), 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.

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Key findings#

  • 3 papers in the tracked journals link to the Zenodo dataset ultralytics/yolov5: v4.0 - nn.SiLU() activations, Weights & Biases logging, PyTorch Hub integration in their Crossref records, the first in 2021; most of them (1) in 2025.
  • By category: AI (2) and Operations Research (1); the journals with the most are Computers & Industrial Engineering (1), Expert Systems with Applications (1) and Neural Computing and Applications (1).
  • It is a Zenodo archive of ultralytics/yolov5, which other papers here link to as well.

By year#

2021: 1 paper2024: 1 paper2025: 1 paper
20212025
Papers linking to ultralytics/yolov5: v4.0 - nn.SiLU() activations, Weights & Biases logging, PyTorch Hub integration by publication year
YearPapers
20211
20241
20251

Journals#

Journals whose papers link to ultralytics/yolov5: v4.0 - nn.SiLU() activations, Weights & Biases logging, PyTorch Hub integration most
JournalPapers
Computers & Industrial Engineering1
Expert Systems with Applications1
Neural Computing and Applications1
Linked repositories ultralytics/yolov5: v4.0 - nn.SiLU() activations, Weights & Biases logging, PyTorch Hub integration derives from or that derive from it
RepositoryRelationPapers
ultralytics/yolov5ultralytics/yolov5: v4.0 - nn.SiLU() activations, Weights & Biases logging, PyTorch Hub integration is its Zenodo archive110
Papers linking to ultralytics/yolov5: v4.0 - nn.SiLU() activations, Weights & Biases logging, PyTorch Hub integration, most cited first
PublishedTitleJournalAuthorsCitationsLink
2021-09-25A real-time and high-precision method for small traffic-signs recognitionNeural Computing and ApplicationsJunzhou Chen, Kunkun Jia, Wenquan Chen et al.91cites it
2024-08-28Deep learning based assembly process action recognition and progress prediction facing human-centric intelligent manufacturingComputers & Industrial EngineeringZipeng Wang, Jihong Yan22cites it
2025-12-16Enhancing maritime search and rescue: Incremental unsupervised domain adaptation with synthetic data and pseudo-labelingExpert Systems with ApplicationsJuan P. Martinez-Esteso, Francisco J. Castellanos, Antonio Javier Gallego3cites 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). ultralytics/yolov5: v4.0 - nn.SiLU() activations, Weights & Biases logging, PyTorch Hub integration: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-4418161

@misc{scholar4ai-code-zenodo-4418161,
  author = {{Scholar4AI}},
  title = {ultralytics/yolov5: v4.0 - nn.SiLU() activations, Weights & Biases logging, PyTorch Hub integration: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-4418161}},
  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).