lufficc/SSD: papers linking to it

GitHub · 1,588 stars · 384 forks · Python · license MIT · created 2018 · github.com/lufficc/SSD

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to lufficc/SSD (https://github.com/lufficc/SSD), 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 lufficc/SSD in their Crossref records, the first in 2023; most of them (2) in 2025.
By category: AI (3); the journals with the most are Neural Computing and Applications (1), Nature Machine Intelligence (1) and Expert Systems with Applications (1).

By year#

20232025

Papers linking to lufficc/SSD by publication year
Year	Papers
2023	1
2025	2

Journals#

Journals whose papers link to lufficc/SSD most
Journal	Papers
Neural Computing and Applications	1
Nature Machine Intelligence	1
Expert Systems with Applications	1

Papers linking to lufficc/SSD, most cited first
Published	Title	Journal	Authors	Citations	Link
2023-09-20	From attribution maps to human-understandable explanations through Concept Relevance Propagation	Nature Machine Intelligence	Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun et al.	181	cites it
2025-02-15	VireNet-SSD: object detection model for resource-constrained applications based on self-organized operational neural networks	Neural Computing and Applications	Vidya Kamath, A Renuka	4	cites it
2025-07-24	Enhancing the dependability of autonomous surface vehicles through robustness benchmarking of real-time object detection models	Expert Systems with Applications	Yunjia Wang, Zihao Zhang, Kaizheng Wang et al.	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). lufficc/SSD: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-lufficc-ssd

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

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