oseledets/TT-Toolbox: papers linking to it

GitHub · 223 stars · 75 forks · MATLAB · created 2011 · github.com/oseledets/TT-Toolbox

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to oseledets/TT-Toolbox (https://github.com/oseledets/TT-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#

5 papers in the tracked journals link to the GitHub repository oseledets/TT-Toolbox in their Crossref records, the first in 2019; most of them (3) in 2025.
By category: Operations Research (2), Statistics (2) and AI (1); the journals with the most are Statistics and Computing (2), Computational Optimization and Applications (1) and Optimization and Engineering (1).
2 of the papers build on one another: a later paper cites an earlier one that also links oseledets/TT-Toolbox.

By year#

20192025

Papers linking to oseledets/TT-Toolbox by publication year
Year	Papers
2019	1
2024	1
2025	3

Journals#

Journals whose papers link to oseledets/TT-Toolbox most
Journal	Papers
Statistics and Computing	2
Computational Optimization and Applications	1
Optimization and Engineering	1
Knowledge and Information Systems	1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Approximation and sampling of multivariate probability distributions in the tensor train decomposition Statistics and Computing, 2019
- Tensor train approximation of multivariate Gaussian density by scaling and squaring Statistics and Computing, 2025 — cites the paper above

Papers linking to oseledets/TT-Toolbox, most cited first
Published	Title	Journal	Authors	Citations	Link
2019-11-02	Approximation and sampling of multivariate probability distributions in the tensor train decomposition	Statistics and Computing	Sergey Dolgov, Karim Anaya‐Izquierdo, Colin Fox et al.	61	cites it
2024-10-14	Compact lossy compression of tensors via neural tensor-train decomposition	Knowledge and Information Systems	Taehyung Kwon, Jihoon Ko, Jinhong Jung et al.	2	cites it
2025-12-06	Tensor train solution to uncertain optimization problems with shared sparsity penalty	Optimization and Engineering	Harbir Antil, Sergey Dolgov, Akwum Onwunta	1	cites it
2025-07-12	Efficient training of Gaussian processes with tensor product structure	Computational Optimization and Applications	Josie Koenig, Max Pfeffer, Martin Stoll	0	cites it
2025-09-02	Tensor train approximation of multivariate Gaussian density by scaling and squaring	Statistics and Computing	Jiří Ajgl, Ondřej Straka	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). oseledets/TT-Toolbox: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-oseledets-tt-toolbox

@misc{scholar4ai-code-github-oseledets-tt-toolbox,
  author = {{Scholar4AI}},
  title = {oseledets/TT-Toolbox: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-oseledets-tt-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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