---
title: "tensorflow/tensorflow: papers citing it"
description: "9 papers in the tracked journals link to the GitHub repository tensorflow/tensorflow in their Crossref records, the first in 2019; most of them (4) in 2025."
url: https://scholar4ai.com/code/github-tensorflow-tensorflow
markdown_url: https://scholar4ai.com/code/github-tensorflow-tensorflow.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "9 papers in the tracked journals link to the GitHub repository tensorflow/tensorflow in their Crossref records, the first in 2019; most of them (4) in 2025. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# tensorflow/tensorflow: papers linking to it

Research papers in the 480 tracked journals that link to tensorflow/tensorflow (https://github.com/tensorflow/tensorflow), 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.

- GitHub
- 201,276 stars
- 78,194 forks
- C++
- license Apache-2.0
- created 2015
- https://github.com/tensorflow/tensorflow

All repositories: https://scholar4ai.com/code.md

## Key findings

- 9 papers in the tracked journals link to the GitHub repository tensorflow/tensorflow in their Crossref records, the first in 2019; most of them (4) in 2025.
- By category: AI (6), Information Systems (1) and Higher Education and Research (1); the journals with the most are Electronic Markets (1), Journal of Informetrics (1) and Expert Systems with Applications (1).
- Linked repositories derived from it: 2, such as TensorFlow and TensorFlow.

## By year

*Papers linking to tensorflow/tensorflow by publication year*

| Year | Papers |
|---|---:|
| 2019 | 1 |
| 2020 | 2 |
| 2021 | 1 |
| 2024 | 1 |
| 2025 | 4 |

## Journals

*Journals whose papers link to tensorflow/tensorflow most*

| Journal | Papers |
|---|---:|
| [Electronic Markets](https://scholar4ai.com/journals/electronic-markets.md) | 1 |
| [Journal of Informetrics](https://scholar4ai.com/journals/journal-of-informetrics.md) | 1 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 1 |
| [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 1 |

## Related repositories

*Linked repositories tensorflow/tensorflow derives from or that derive from it*

| Repository | Relation | Papers |
|---|---|---:|
| [TensorFlow](https://scholar4ai.com/code/zenodo-4724125.md) | Zenodo archive of tensorflow/tensorflow | 3 |
| [TensorFlow](https://scholar4ai.com/code/zenodo-4758419.md) | Zenodo archive of tensorflow/tensorflow | 3 |

## Papers

*Papers linking to tensorflow/tensorflow, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2019-01-19 | [Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey](https://doi.org/10.1007/s10462-018-09679-z) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Giang Nguyen, Štefan Dlugolinský, Martin Bobák et al. | 868 | cites it |
| 2020-10-16 | [Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructure](https://doi.org/10.1186/s40537-020-00361-2) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Eliu A. Huerta, Asad Ali Raza Khan, Edward Davis et al. | 65 | cites it |
| 2020-10-12 | [Perceptual bias and technical metapictures: critical machine vision as a humanities challenge](https://doi.org/10.1007/s00146-020-01058-z) | [AI & Society](https://scholar4ai.com/journals/ai-society.md) | Fabian Offert, Peter R.F. Bell | 59 | cites it |
| 2021-02-05 | [In-code citation practices in open research software libraries](https://doi.org/10.1016/j.joi.2021.101139) | [Journal of Informetrics](https://scholar4ai.com/journals/journal-of-informetrics.md) | Abdulkareem Alsudais | 3 | cites it |
| 2025-07-09 | [Enhancing Stock Price Forecasting with Deep Learning: Insights from the Saudi Stock Market](https://doi.org/10.1007/s10614-025-11033-9) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Rana Baamer, Hamoud Aljamaan | 3 | cites it |
| 2025-09-10 | [Composite human activity recognition utilizing knowledge distillation and sensor fusion focusing on resource constrained microcontrollers](https://doi.org/10.1016/j.eswa.2025.129652) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Athar Noor Mohammad Rafee, John Clear, Jannatun Noor | 2 | cites it |
| 2025-10-10 | [A survey on neuro-mimetic deep learning via predictive coding](https://doi.org/10.1016/j.neunet.2025.108161) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Tommaso Salvatori, Ankur Mali, Christopher L. Buckley et al. | 2 | cites it |
| 2024-07-30 | [A rotation-invariant horizontal vertical pooled module for remote sensing image representation](https://doi.org/10.1007/s00521-024-10180-8) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Chiranjibi Sitaula, Jagannath Aryal | 1 | cites it |
| 2025-09-01 | [What role do data network effects play for multihoming complements? An empirical analysis of platform complementors’ strategies for consumer value creation](https://doi.org/10.1007/s12525-025-00817-4) | [Electronic Markets](https://scholar4ai.com/journals/electronic-markets.md) | Clarissa Knorr, Matthias Erath, Julie Saesen et al. | 1 | 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). tensorflow/tensorflow: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-tensorflow-tensorflow

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

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).