netease-youdao/BCEmbedding: papers linking to it

GitHub · 1,880 stars · 129 forks · Python · license Apache-2.0 · created 2024 · github.com/netease-youdao/BCEmbedding

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to netease-youdao/BCEmbedding (https://github.com/netease-youdao/BCEmbedding), 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 netease-youdao/BCEmbedding in their Crossref records, the first in 2025; most of them (2) in 2026.
By category: AI (3); the journals with the most are Expert Systems with Applications (1), Knowledge-Based Systems (1) and Information Processing & Management (1).

By year#

20252026

Papers linking to netease-youdao/BCEmbedding by publication year
Year	Papers
2025	1
2026	2

Journals#

Journals whose papers link to netease-youdao/BCEmbedding most
Journal	Papers
Expert Systems with Applications	1
Knowledge-Based Systems	1
Information Processing & Management	1

Papers linking to netease-youdao/BCEmbedding, most cited first
Published	Title	Journal	Authors	Citations	Link
2026-03-03	A query-aware multi-path knowledge graph fusion approach for enhancing retrieval-augmented insgeneration in large language models	Expert Systems with Applications	Qikai Wei, Huansheng Ning, Chunlong Han et al.	3	cites it
2025-12-27	Text-to-graph query using semantic subgraph retrieval	Knowledge-Based Systems	Yongzhe Jia, Yiming Lei, Yang Liu et al.	2	cites it
2026-03-02	Medical multi-recall embedding: Adaptive retrieval for diverse evidence in medical RAG systems	Information Processing & Management	Changjin Li, Fengshi Jing, Huarun Li et al.	2	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). netease-youdao/BCEmbedding: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-netease-youdao-bcembedding

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

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