LianjiaTech/BELLE: papers linking to it

GitHub · 8,261 stars · 755 forks · HTML · license Apache-2.0 · created 2023 · github.com/LianjiaTech/BELLE

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to LianjiaTech/BELLE (https://github.com/LianjiaTech/BELLE), 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 LianjiaTech/BELLE in their Crossref records, the first in 2025; most of them (2) in 2026.
By category: AI (3); the journals with the most are Neural Networks (1), Information Processing & Management (1) and International Journal of Computer Vision (1).

By year#

20252026

Papers linking to LianjiaTech/BELLE by publication year
Year	Papers
2025	1
2026	2

Journals#

Journals whose papers link to LianjiaTech/BELLE most
Journal	Papers
Neural Networks	1
Information Processing & Management	1
International Journal of Computer Vision	1

Papers linking to LianjiaTech/BELLE, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-04-05	Diffusion-Enhanced Test-Time Adaptation with Text and Image Augmentation	International Journal of Computer Vision	Chun-Mei Feng, Yonghong He, Jian Zou et al.	4	cites it
2026-03-12	Empowering open-domain LLMs for legal document correction via legal knowledge integration and decoding constraints	Information Processing & Management	Kepu Zhang, Weijie Yu, Zhongxiang Sun et al.	3	cites it
2026-04-25	Optimizing speculative decoding via dynamic multi-path and dual-stream networks	Neural Networks	Yong Yang, Ting Yang, Shao Shuai Gao 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). LianjiaTech/BELLE: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-lianjiatech-belle

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

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