facebookresearch/fvcore: papers linking to it

GitHub · 2,254 stars · 239 forks · Python · license Apache-2.0 · created 2019 · github.com/facebookresearch/fvcore

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to facebookresearch/fvcore (https://github.com/facebookresearch/fvcore), 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 facebookresearch/fvcore in their Crossref records, the first in 2024; most of them (3) in 2026.
By category: AI (5) and Information Systems (1); the journals with the most are Knowledge-Based Systems (2), Information Systems Frontiers (1) and Neural Networks (1).

By year#

20242026

Papers linking to facebookresearch/fvcore by publication year
Year	Papers
2024	1
2025	2
2026	3

Journals#

Journals whose papers link to facebookresearch/fvcore most
Journal	Papers
Knowledge-Based Systems	2
Information Systems Frontiers	1
Neural Networks	1
Neural Computing and Applications	1
Pattern Recognition	1

Papers linking to facebookresearch/fvcore, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-05-22	Multi-level disparity-guided transformers for light field spatial super-resolution	Pattern Recognition	Yigeng Liao, Le Song, Gaoyan Zhang et al.	9	cites it
2024-11-23	Separable integral neural networks	Neural Networks	Jinhua Lin, Xin Li, Lin Ma et al.	2	cites it
2025-11-05	Efficient transformer with compressed-attention for stereo image super-resolution	Knowledge-Based Systems	Jianwen Song, Arcot Sowmya, Weichuan Zhang et al.	1	cites it
2026-05-11	Concept-Enhanced Multimodal RAG: Towards Interpretable and Accurate Radiology Report Generation	Information Systems Frontiers	Marco Salmè, Federico Siciliano, Fabrizio Silvestri et al.	1	cites it
2026-03-12	Asymdapter: Asymmetric adapter architecture for efficient fine-tuning of segment-based trajectory representation models	Knowledge-Based Systems	Tianxi Liao, Xuxiang Ta, Liangzhe Han et al.	0	cites it
2026-07-01	Domain-aware appliance classification with hybrid temporal features and correlation-aligned adversarial training	Neural Computing and Applications	Mohammed Ayub, El-Sayed M. El-Alfy	0	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/fvcore: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-facebookresearch-fvcore

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

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