Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

TensorFlow: papers linking to it

Zenodo · Software · 2026 · archives github.com/tensorflow/tensorflow · doi.org/10.5281/zenodo.4724125

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to TensorFlow (https://doi.org/10.5281/zenodo.4724125), 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.

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Key findings#

  • 3 papers in the tracked journals link to the Zenodo dataset TensorFlow in their Crossref records, the first in 2021; most of them (1) in 2026.
  • By category: AI (2) and Operations Research (1); the journals with the most are Computers & Industrial Engineering (1), Expert Systems with Applications (1) and Artificial Intelligence Review (1).
  • It is a Zenodo archive of tensorflow/tensorflow, which other papers here link to as well.

By year#

2021: 1 paper2023: 1 paper2026: 1 paper
20212026
Papers linking to TensorFlow by publication year
YearPapers
20211
20231
20261

Journals#

Journals whose papers link to TensorFlow most
JournalPapers
Computers & Industrial Engineering1
Expert Systems with Applications1
Artificial Intelligence Review1
Linked repositories TensorFlow derives from or that derive from it
RepositoryRelationPapers
tensorflow/tensorflowTensorFlow is its Zenodo archive9
Papers linking to TensorFlow, most cited first
PublishedTitleJournalAuthorsCitationsLink
2021-11-15Federated learning attack surface: taxonomy, cyber defences, challenges, and future directionsArtificial Intelligence ReviewAttia Qammar, Jianguo Ding, Huansheng Ning56cites it
2023-06-01Utilizing deep learning to explore chemical space for drug lead optimizationExpert Systems with ApplicationsRajkumar Chakraborty, Yasha Hasija18cites it
2026-07-01Intelligent real-time alert generation and operational interventions in a closed loop supply chain for repairable partsComputers & Industrial EngineeringKaveh Alizadeh, Engin Topan, Matthieu van der Heijden et al.0cites 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). TensorFlow: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-4724125

@misc{scholar4ai-code-zenodo-4724125,
  author = {{Scholar4AI}},
  title = {TensorFlow: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-4724125}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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