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

BERTurk - BERT models for Turkish: papers linking to it

Zenodo · Software · 2020 · archives github.com/stefan-it/turkish-bert · doi.org/10.5281/zenodo.3770924

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to BERTurk - BERT models for Turkish (https://doi.org/10.5281/zenodo.3770924), 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#

  • 5 papers in the tracked journals link to the Zenodo dataset BERTurk - BERT models for Turkish in their Crossref records, the first in 2022; most of them (2) in 2023.
  • By category: AI (5); the journals with the most are Language Resources and Evaluation (2), Neural Computing and Applications (2) and Expert Systems with Applications (1).
  • It is a Zenodo archive of stefan-it/turkish-bert, which other papers here link to as well.

By year#

2022: 2 papers2023: 2 papers2026: 1 paper
20222026
Papers linking to BERTurk - BERT models for Turkish by publication year
YearPapers
20222
20232
20261

Journals#

Journals whose papers link to BERTurk - BERT models for Turkish most
JournalPapers
Language Resources and Evaluation2
Neural Computing and Applications2
Expert Systems with Applications1
Linked repositories BERTurk - BERT models for Turkish derives from or that derive from it
RepositoryRelationPapers
stefan-it/turkish-bertBERTurk - BERT models for Turkish is its Zenodo archive1
Papers linking to BERTurk - BERT models for Turkish, most cited first
PublishedTitleJournalAuthorsCitationsLink
2022-01-10Abstractive text summarization and new large-scale datasets for agglutinative languages Turkish and HungarianLanguage Resources and EvaluationBatuhan Baykara, Tunga Güngör36cites it
2022-08-26Resources for Turkish natural language processing: A critical surveyLanguage Resources and EvaluationÇağrı Çöltekin, A. Seza Doğruöz, Özlem Çetinoğlu30cites it
2023-04-10Emotion-enriched word embeddings for TurkishExpert Systems with ApplicationsHande Aka Uymaz, Senem Kumova Metın6cites it
2023-04-27Personality traits prediction model from Turkish contents with semantic structuresNeural Computing and ApplicationsMuhammed Ali Koşan, Hacer Karacan, Burcu Aysen Urgen3cites it
2026-08-01Attention-based multimodal deep learning for Turkish real estate price prediction using structured, text, and image dataNeural Computing and ApplicationsMahmoud Almohammad, Uğur Yavuz0cites 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). BERTurk - BERT models for Turkish: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-3770924

@misc{scholar4ai-code-zenodo-3770924,
  author = {{Scholar4AI}},
  title = {BERTurk - BERT models for Turkish: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-3770924}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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