shibing624/text2vec: papers linking to it

GitHub · 4,975 stars · 428 forks · Python · license Apache-2.0 · created 2019 · github.com/shibing624/text2vec

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to shibing624/text2vec (https://github.com/shibing624/text2vec), 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 shibing624/text2vec in their Crossref records, the first in 2024; most of them (3) in 2025.
By category: AI (4) and Operations Research (2); the journals with the most are Expert Systems with Applications (2), Computers & Industrial Engineering (1) and Transportation Research Part A Policy and Practice (1).

By year#

20242026

Papers linking to shibing624/text2vec by publication year
Year	Papers
2024	1
2025	3
2026	2

Journals#

Journals whose papers link to shibing624/text2vec most
Journal	Papers
Expert Systems with Applications	2
Computers & Industrial Engineering	1
Transportation Research Part A Policy and Practice	1
Neural Networks	1
Machine Learning	1

Papers linking to shibing624/text2vec, most cited first
Published	Title	Journal	Authors	Citations	Link
2024-02-02	Innovative product design based on radical problem solving	Computers & Industrial Engineering	Fanfan Wang, Runhua Tan, Kang Wang et al.	14	cites it
2026-05-30	SAS-bench: A fine-grained benchmark for evaluating short answer scoring with large language models	Neural Networks	Peichao Lai, Kexuan Zhang, Yi Lin et al.	3	cites it
2025-12-29	Towards enterprise-specific question-answering for IT operations and maintenance based on retrieval-augmented generation mechanism	Expert Systems with Applications	Zhuoxuan Jiang, Tianyang Zhang, Shengguang Bai et al.	2	cites it
2026-04-02	Urban traffic evaluation with social media data: A consensus-based LLM negotiation paradigm	Transportation Research Part A Policy and Practice	M. M. Li, Cheng Fan, Haoyang Yan et al.	2	cites it
2025-07-10	PCE-GNN: a node feature-enhanced graph neural network with pre-clustering strategy	Machine Learning	Yongbo Li, Fangfang Xie, Xi Li et al.	0	cites it
2025-11-20	An entropy-driven method for llm dataset evaluation and optimization	Expert Systems with Applications	Wang Meiping, Rongduo Han, Zhixiang Yang et al.	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). shibing624/text2vec: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-shibing624-text2vec

@misc{scholar4ai-code-github-shibing624-text2vec,
  author = {{Scholar4AI}},
  title = {shibing624/text2vec: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-shibing624-text2vec}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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