---
title: "BERTurk - BERT models for Turkish: papers citing it"
description: "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."
url: https://scholar4ai.com/code/zenodo-3770924
markdown_url: https://scholar4ai.com/code/zenodo-3770924.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# BERTurk - BERT models for Turkish: papers linking to it

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.

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

All repositories: https://scholar4ai.com/code.md

## 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

*Papers linking to BERTurk - BERT models for Turkish by publication year*

| Year | Papers |
|---|---:|
| 2022 | 2 |
| 2023 | 2 |
| 2026 | 1 |

## Journals

*Journals whose papers link to BERTurk - BERT models for Turkish most*

| Journal | Papers |
|---|---:|
| [Language Resources and Evaluation](https://scholar4ai.com/journals/language-resources-and-evaluation.md) | 2 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 2 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |

## Related repositories

*Linked repositories BERTurk - BERT models for Turkish derives from or that derive from it*

| Repository | Relation | Papers |
|---|---|---:|
| [stefan-it/turkish-bert](https://github.com/stefan-it/turkish-bert) | BERTurk - BERT models for Turkish is its Zenodo archive | 1 |

## Papers

*Papers linking to BERTurk - BERT models for Turkish, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-01-10 | [Abstractive text summarization and new large-scale datasets for agglutinative languages Turkish and Hungarian](https://doi.org/10.1007/s10579-021-09568-y) | [Language Resources and Evaluation](https://scholar4ai.com/journals/language-resources-and-evaluation.md) | Batuhan Baykara, Tunga Güngör | 36 | cites it |
| 2022-08-26 | [Resources for Turkish natural language processing: A critical survey](https://doi.org/10.1007/s10579-022-09605-4) | [Language Resources and Evaluation](https://scholar4ai.com/journals/language-resources-and-evaluation.md) | Çağrı Çöltekin, A. Seza Doğruöz, Özlem Çetinoğlu | 30 | cites it |
| 2023-04-10 | [Emotion-enriched word embeddings for Turkish](https://doi.org/10.1016/j.eswa.2023.120011) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Hande Aka Uymaz, Senem Kumova Metın | 6 | cites it |
| 2023-04-27 | [Personality traits prediction model from Turkish contents with semantic structures](https://doi.org/10.1007/s00521-023-08603-z) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Muhammed Ali Koşan, Hacer Karacan, Burcu Aysen Urgen | 3 | cites it |
| 2026-08-01 | [Attention-based multimodal deep learning for Turkish real estate price prediction using structured, text, and image data](https://doi.org/10.1007/s00521-026-12360-0) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Mahmoud Almohammad, Uğur Yavuz | 0 | 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). 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).