---
title: "kingoflolz/mesh-transformer-jax: papers citing it"
description: "6 papers in the tracked journals link to the GitHub repository kingoflolz/mesh-transformer-jax in their Crossref records, the first in 2023; most of them (3) in 2023."
url: https://scholar4ai.com/code/github-kingoflolz-mesh-transformer-jax
markdown_url: https://scholar4ai.com/code/github-kingoflolz-mesh-transformer-jax.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "6 papers in the tracked journals link to the GitHub repository kingoflolz/mesh-transformer-jax in their Crossref records, the first in 2023; most of them (3) 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)
---

# kingoflolz/mesh-transformer-jax: papers linking to it

Research papers in the 480 tracked journals that link to kingoflolz/mesh-transformer-jax (https://github.com/kingoflolz/mesh-transformer-jax), 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.

- GitHub
- 6,389 stars
- 876 forks
- Python
- license Apache-2.0
- created 2021
- https://github.com/kingoflolz/mesh-transformer-jax

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

## Key findings

- 6 papers in the tracked journals link to the GitHub repository kingoflolz/mesh-transformer-jax in their Crossref records, the first in 2023; most of them (3) in 2023.
- By category: AI (6); the journals with the most are Nature Machine Intelligence (2), Expert Systems with Applications (1) and International Journal of Computer Vision (1).

## By year

*Papers linking to kingoflolz/mesh-transformer-jax by publication year*

| Year | Papers |
|---|---:|
| 2023 | 3 |
| 2024 | 1 |
| 2026 | 2 |

## Journals

*Journals whose papers link to kingoflolz/mesh-transformer-jax most*

| Journal | Papers |
|---|---:|
| [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 2 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 1 |
| [Language Resources and Evaluation](https://scholar4ai.com/journals/language-resources-and-evaluation.md) | 1 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |

## Papers

*Papers linking to kingoflolz/mesh-transformer-jax, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2024-02-06 | [Leveraging large language models for predictive chemistry](https://doi.org/10.1038/s42256-023-00788-1) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | Kevin Maik Jablonka, Philippe Schwaller, Andres Ortega‐Guerrero et al. | 378 | cites it |
| 2023-03-13 | [A review on sentiment analysis from social media platforms](https://doi.org/10.1016/j.eswa.2023.119862) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Margarita Rodríguez-Ibáñez, Antonio Casánez-Ventura, Félix Castejón-Mateos et al. | 345 | cites it |
| 2023-07-27 | [Explaining machine learning models with interactive natural language conversations using TalkToModel](https://doi.org/10.1038/s42256-023-00692-8) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju et al. | 125 | cites it |
| 2026-09-25 | [Parameter-Efficient Fine-Tuning for Foundation Models](https://doi.org/10.1007/s11263-026-03004-w) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Dan Zhang, Tao Feng, Lilong Xue et al. | 7 | cites it |
| 2026-04-28 | [Bridging the linguistic divide: a survey on leveraging large language models for machine translation](https://doi.org/10.1007/s10579-026-09919-7) | [Language Resources and Evaluation](https://scholar4ai.com/journals/language-resources-and-evaluation.md) | Baban Gain, Dibyanayan Bandyopadhyay, Asif Ekbal et al. | 6 | cites it |
| 2023-03-09 | [DeepPress: guided press release topic-aware text generation using ensemble transformers](https://doi.org/10.1007/s00521-023-08393-4) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Abir Rahali, Moulay A. Akhloufi | 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). kingoflolz/mesh-transformer-jax: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-kingoflolz-mesh-transformer-jax

```bibtex
@misc{scholar4ai-code-github-kingoflolz-mesh-transformer-jax,
  author = {{Scholar4AI}},
  title = {kingoflolz/mesh-transformer-jax: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-kingoflolz-mesh-transformer-jax}},
  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/).