---
title: "wordnet (R package): papers citing this CRAN package"
description: "3 papers in the tracked journals link to wordnet (R package) in their Crossref records, the first in 2020; most of them (1) in 2026."
url: https://scholar4ai.com/code/cran-wordnet
markdown_url: https://scholar4ai.com/code/cran-wordnet.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 wordnet (R package) in their Crossref records, the first in 2020; most of them (1) in 2026. (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)
---

# wordnet (R package): papers linking to it

Research papers in the 480 tracked journals that link to wordnet (R package) (https://CRAN.R-project.org/package=wordnet), 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.

- CRAN
- https://CRAN.R-project.org/package=wordnet

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

## Key findings

- 3 papers in the tracked journals link to wordnet (R package) in their Crossref records, the first in 2020; most of them (1) in 2026.
- By category: AI (2) and Higher Education and Research (1); the journals with the most are Scientometrics (1), Journal Of Big Data (1) and AI & Society (1).

## By year

*Papers linking to wordnet (R package) by publication year*

| Year | Papers |
|---|---:|
| 2020 | 1 |
| 2022 | 1 |
| 2026 | 1 |

## Journals

*Journals whose papers link to wordnet (R package) most*

| Journal | Papers |
|---|---:|
| [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | 1 |
| [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 1 |
| [AI & Society](https://scholar4ai.com/journals/ai-society.md) | 1 |

## Papers

*Papers linking to wordnet (R package), most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-11-12 | [A novel Multi-Layer Attention Framework for visual description prediction using bidirectional LSTM](https://doi.org/10.1186/s40537-022-00664-6) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Dinesh Naik, C. D. Jaidhar | 25 | cites it |
| 2020-08-28 | [Knowledge fusion through academic articles: a survey of definitions, techniques, applications and challenges](https://doi.org/10.1007/s11192-020-03683-3) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Yu Zhang, Min Wang, Morteza Saberi et al. | 7 | cites it |
| 2026-03-04 | [‘Thinking’, ‘helping’, and ‘replacing’: what personification metaphors reveal about the social integration of generative AI](https://doi.org/10.1007/s00146-026-02934-w) | [AI & Society](https://scholar4ai.com/journals/ai-society.md) | Thi Ngoc Quyen Pham, Cameron Morin | 3 | 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). wordnet (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-wordnet

```bibtex
@misc{scholar4ai-code-cran-wordnet,
  author = {{Scholar4AI}},
  title = {wordnet (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-wordnet}},
  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/).