canyilu/Tensor-tensor-product-toolbox: papers linking to it

GitHub · 97 stars · 45 forks · MATLAB · created 2018 · github.com/canyilu/Tensor-tensor-product-toolbox

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to canyilu/Tensor-tensor-product-toolbox (https://github.com/canyilu/Tensor-tensor-product-toolbox), 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#

4 papers in the tracked journals link to the GitHub repository canyilu/Tensor-tensor-product-toolbox in their Crossref records, the first in 2020; most of them (1) in 2026.
By category: Operations Research (3) and Statistics (1); the journals with the most are Journal of Optimization Theory and Applications (1), Journal of Global Optimization (1) and Annals of the Institute of Statistical Mathematics (1).

By year#

20202026

Papers linking to canyilu/Tensor-tensor-product-toolbox by publication year
Year	Papers
2020	1
2023	1
2025	1
2026	1

Journals#

Journals whose papers link to canyilu/Tensor-tensor-product-toolbox most
Journal	Papers
Journal of Optimization Theory and Applications	1
Journal of Global Optimization	1
Annals of the Institute of Statistical Mathematics	1
Computational Optimization and Applications	1

Papers linking to canyilu/Tensor-tensor-product-toolbox, most cited first
Published	Title	Journal	Authors	Citations	Link
2020-01-20	Tensor neural network models for tensor singular value decompositions	Computational Optimization and Applications	Xuezhong Wang, Maolin Che, Yimin Wei	63	cites it
2023-03-02	A Randomized Singular Value Decomposition for Third-Order Oriented Tensors	Journal of Optimization Theory and Applications	Minghui Ding, Yimin Wei, Pengpeng Xie	5	cites it
2025-10-21	Generalized high-dimensional tensor learning with nuclear norm regularization	Annals of the Institute of Statistical Mathematics	Weilin Shen, Yao Wang, Xuehu Zhu	1	cites it
2026-01-30	An optimization approach for transformed low tubal rank of third-order tensors	Journal of Global Optimization	Jinjie Liu, Chen Ling, Erbo Zhao 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). canyilu/Tensor-tensor-product-toolbox: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-canyilu-tensor-tensor-product-toolbox

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

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