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

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

← Code and data repositories cited in research papers

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.

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#

20232026

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	2
Expert Systems with Applications	1
International Journal of Computer Vision	1
Language Resources and Evaluation	1
Neural Computing and Applications	1

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	Nature Machine Intelligence	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	Expert Systems with Applications	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	Nature Machine Intelligence	Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju et al.	125	cites it
2026-09-25	Parameter-Efficient Fine-Tuning for Foundation Models	International Journal of Computer Vision	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	Language Resources and Evaluation	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	Neural Computing and Applications	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

@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}
}

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