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

MaartenGr/KeyBERT: v0.5: papers linking to it

Zenodo · Software · 2021 · archives github.com/maartengr/keybert · doi.org/10.5281/zenodo.5534341

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to MaartenGr/KeyBERT: v0.5 (https://doi.org/10.5281/zenodo.5534341), 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 MaartenGr/KeyBERT: v0.5 in their Crossref records, the first in 2023; most of them (1) in 2025.
  • By category: AI (3); the journals with the most are Knowledge and Information Systems (2) and Artificial Intelligence Review (1).
  • It is a Zenodo archive of MaartenGr/KeyBERT, which other papers here link to as well.

By year#

2023: 1 paper2024: 1 paper2025: 1 paper
20232025
Papers linking to MaartenGr/KeyBERT: v0.5 by publication year
YearPapers
20231
20241
20251

Journals#

Journals whose papers link to MaartenGr/KeyBERT: v0.5 most
JournalPapers
Knowledge and Information Systems2
Artificial Intelligence Review1
Linked repositories MaartenGr/KeyBERT: v0.5 derives from or that derive from it
RepositoryRelationPapers
MaartenGr/KeyBERTMaartenGr/KeyBERT: v0.5 is its Zenodo archive2
Papers linking to MaartenGr/KeyBERT: v0.5, most cited first
PublishedTitleJournalAuthorsCitationsLink
2023-01-06Survey on sentiment analysis: evolution of research methods and topicsArtificial Intelligence ReviewJingfeng Cui, Zhaoxia Wang, Seng-Beng Ho et al.215cites it
2024-07-05Deep learning and embeddings-based approaches for keyphrase extraction: a literature reviewKnowledge and Information SystemsNikolaos Giarelis, Nikos I. Karacapilidis17cites it
2025-01-30A keyword extraction model study in the movie domain with synopsis and reviewsKnowledge and Information SystemsCarlos González-Santos, Miguel Angel Vega-Rodríguez, Carlos Javier Pérez et al.1cites 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). MaartenGr/KeyBERT: v0.5: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-5534341

@misc{scholar4ai-code-zenodo-5534341,
  author = {{Scholar4AI}},
  title = {MaartenGr/KeyBERT: v0.5: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-5534341}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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