--- title: "black-forest-labs/flux: papers citing it" description: "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." url: https://scholar4ai.com/code/github-black-forest-labs-flux markdown_url: https://scholar4ai.com/code/github-black-forest-labs-flux.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "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. (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) --- # black-forest-labs/flux: papers linking to it 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. - GitHub - 26,045 stars - 1,931 forks - Python - license Apache-2.0 - created 2024 - https://github.com/black-forest-labs/flux All repositories: https://scholar4ai.com/code.md ## 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 *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](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2 | | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 2 | | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 1 | | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 1 | | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 1 | ## Papers *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](https://doi.org/10.1016/j.eswa.2025.130248) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 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](https://doi.org/10.1016/j.inffus.2025.103984) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 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](https://doi.org/10.1007/s11263-025-02623-z) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Canyu Zhao, Ganggui Ding, Wen Wang et al. | 1 | cites it | | 2026-02-06 | [AITTI: Learning Adaptive Inclusive Token for Text-to-Image Generation](https://doi.org/10.1007/s11263-025-02727-6) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Xinyu Hou, Xiaoming Li, Chen Change Loy | 1 | cites it | | 2026-02-11 | [Sentimental image generation with image quality assessment](https://doi.org/10.1016/j.patcog.2026.113269) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 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](https://doi.org/10.1016/j.neunet.2026.109073) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 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](https://doi.org/10.1016/j.eswa.2026.132352) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 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 ```bibtex @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} } ``` License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).