sentence-transformers/all-MiniLM-L6-v2: papers linking to it

Hugging Face · 6,059 likes · 182,509,097 downloads last month · sentence-similarity · sentence-transformers · quantized model of nreimers/MiniLM-L6-H384-uncased · huggingface.co/sentence-transformers/all-MiniLM-L6-v2

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to sentence-transformers/all-MiniLM-L6-v2 (https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2), 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#

4 papers in the tracked journals link to the Hugging Face model sentence-transformers/all-MiniLM-L6-v2 in their Crossref records, the first in 2025; most of them (2) in 2026.
By category: AI (4); the journals with the most are Neural Networks (1), Knowledge-Based Systems (1) and Journal Of Big Data (1).

By year#

20252026

Papers linking to sentence-transformers/all-MiniLM-L6-v2 by publication year
Year	Papers
2025	2
2026	2

Journals#

Journals whose papers link to sentence-transformers/all-MiniLM-L6-v2 most
Journal	Papers
Neural Networks	1
Knowledge-Based Systems	1
Journal Of Big Data	1
AI & Society	1

Papers linking to sentence-transformers/all-MiniLM-L6-v2, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-09-27	TreeQA: Enhanced LLM-RAG with logic tree reasoning for reliable and interpretable multi-hop question answering	Knowledge-Based Systems	Xiangrui Zhang, Fuyong Zhao, Yutian Liu et al.	12	cites it
2026-03-19	Data-centric AI governance for responsible organizational value: evidence from a European public administration	AI & Society	Rosa María Aguilar, Silvia Alayón, Jesús M. Torres et al.	5	cites it
2026-02-24	Comprehensive representation of health-related phenotypes in one million dogs using topic modelling of electronic health records	Journal Of Big Data	Peter‐John M. Noble, Sean Farrell, Noura Al-Moubayed et al.	3	cites it
2025-09-22	Metacognition for Unknown Situations and Environments (MUSE)	Neural Networks	Rodolfo Valiente, Praveen K. Pilly	1	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). sentence-transformers/all-MiniLM-L6-v2: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/hf-model-sentence-transformers-all-minilm-l6-v2

@misc{scholar4ai-code-hf-model-sentence-transformers-all-minilm-l6-v2,
  author = {{Scholar4AI}},
  title = {sentence-transformers/all-MiniLM-L6-v2: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/hf-model-sentence-transformers-all-minilm-l6-v2}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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