facebookresearch/xformers: papers linking to it

GitHub · 10,575 stars · 797 forks · Python · created 2021 · github.com/facebookresearch/xformers

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to facebookresearch/xformers (https://github.com/facebookresearch/xformers), 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#

3 papers in the tracked journals link to the GitHub repository facebookresearch/xformers in their Crossref records, the first in 2024; most of them (2) in 2026.
By category: AI (3); the journals with the most are Neural Networks (1), Nature Machine Intelligence (1) and International Journal of Computer Vision (1).

By year#

20242026

Papers linking to facebookresearch/xformers by publication year
Year	Papers
2024	1
2026	2

Journals#

Journals whose papers link to facebookresearch/xformers most
Journal	Papers
Neural Networks	1
Nature Machine Intelligence	1
International Journal of Computer Vision	1

Papers linking to facebookresearch/xformers, most cited first
Published	Title	Journal	Authors	Citations	Link
2024-12-13	Kernel approximation using analogue in-memory computing	Nature Machine Intelligence	Julian Büchel, Giacomo Camposampiero, Athanasios Vasilopoulos et al.	4	cites it
2026-03-28	Towards efficient language giants: A comprehensive survey on structural optimizations and compression techniques for large language models	Neural Networks	Gilhyeon Lee, Seonggeun Kim, Seonggeun Kim et al.	3	cites it
2026-09-18	Diffusion Model-Based Video Editing: A Survey	International Journal of Computer Vision	Wenhao Sun, Rong-Cheng Tu, Jingyi Liao 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). facebookresearch/xformers: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-facebookresearch-xformers

@misc{scholar4ai-code-github-facebookresearch-xformers,
  author = {{Scholar4AI}},
  title = {facebookresearch/xformers: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-facebookresearch-xformers}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).