black-forest-labs/flux: papers linking to it

GitHub · 26,045 stars · 1,931 forks · Python · license Apache-2.0 · created 2024 · github.com/black-forest-labs/flux

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to black-forest-labs/flux (https://github.com/black-forest-labs/flux), 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#

7 papers in the tracked journals link to the GitHub repository black-forest-labs/flux in their Crossref records, the first in 2025; most of them (4) in 2026.
By category: AI (7); the journals with the most are Expert Systems with Applications (2), International Journal of Computer Vision (2) and Information Fusion (1).

By year#

20252026

Papers linking to black-forest-labs/flux by publication year
Year	Papers
2025	3
2026	4

Journals#

Journals whose papers link to black-forest-labs/flux most
Journal	Papers
Expert Systems with Applications	2
International Journal of Computer Vision	2
Information Fusion	1
Neural Networks	1
Pattern Recognition	1

Papers linking to black-forest-labs/flux, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-10-31	ITGO: A general framework for text-guided image outpainting	Expert Systems with Applications	Bin Chen, Yuanbo Zhou, Xinlin Zhang et al.	1	cites it
2025-11-23	PairHuman: A high-fidelity photographic dataset for customized dual-person generation	Information Fusion	Ting Pan, Ye Wang, Peiguang Jing et al.	1	cites it
2025-12-26	FreerCustom: Training-Free Multi-Concept Customization for Image and Video Generation	International Journal of Computer Vision	Canyu Zhao, Ganggui Ding, Wen Wang et al.	1	cites it
2026-02-06	AITTI: Learning Adaptive Inclusive Token for Text-to-Image Generation	International Journal of Computer Vision	Xinyu Hou, Xiaoming Li, Chen Change Loy	1	cites it
2026-02-11	Sentimental image generation with image quality assessment	Pattern Recognition	Xiaoyi Bao, Jinghang Gu, Zhongqing Wang et al.	1	cites it
2026-05-08	A comprehensive review of use cases, misuses, and potential mitigation techniques in generative artificial intelligence	Neural Networks	Kalp Patel, Rishi Ajith, Surendrabikram Thapa et al.	1	cites it
2026-04-10	LayGenID: Layout-preserving multi-conditional diffusion transformer with LoRA fusion for interior design generation	Expert Systems with Applications	Duong Q. Nguyen, Kim Q. Tran, Hung Nguyen‐Xuan	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). black-forest-labs/flux: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-black-forest-labs-flux

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

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