---
title: "MaartenGr/KeyBERT: v0.5: papers citing this dataset"
description: "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."
url: https://scholar4ai.com/code/zenodo-5534341
markdown_url: https://scholar4ai.com/code/zenodo-5534341.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (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)
---

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

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.

- Zenodo
- Software
- 2021
- archives github.com/maartengr/keybert
- https://doi.org/10.5281/zenodo.5534341

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

## 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

*Papers linking to MaartenGr/KeyBERT: v0.5 by publication year*

| Year | Papers |
|---|---:|
| 2023 | 1 |
| 2024 | 1 |
| 2025 | 1 |

## Journals

*Journals whose papers link to MaartenGr/KeyBERT: v0.5 most*

| Journal | Papers |
|---|---:|
| [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 2 |
| [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 1 |

## Related repositories

*Linked repositories MaartenGr/KeyBERT: v0.5 derives from or that derive from it*

| Repository | Relation | Papers |
|---|---|---:|
| [MaartenGr/KeyBERT](https://github.com/MaartenGr/KeyBERT) | MaartenGr/KeyBERT: v0.5 is its Zenodo archive | 2 |

## Papers

*Papers linking to MaartenGr/KeyBERT: v0.5, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2023-01-06 | [Survey on sentiment analysis: evolution of research methods and topics](https://doi.org/10.1007/s10462-022-10386-z) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Jingfeng Cui, Zhaoxia Wang, Seng-Beng Ho et al. | 215 | cites it |
| 2024-07-05 | [Deep learning and embeddings-based approaches for keyphrase extraction: a literature review](https://doi.org/10.1007/s10115-024-02164-w) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | Nikolaos Giarelis, Nikos I. Karacapilidis | 17 | cites it |
| 2025-01-30 | [A keyword extraction model study in the movie domain with synopsis and reviews](https://doi.org/10.1007/s10115-025-02350-4) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | Carlos González-Santos, Miguel Angel Vega-Rodríguez, Carlos Javier Pérez et al. | 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). MaartenGr/KeyBERT: v0.5: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-5534341

```bibtex
@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}
}
```

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