---
title: "TensorFlow: papers citing this dataset"
description: "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 2024."
url: https://scholar4ai.com/code/zenodo-4758419
markdown_url: https://scholar4ai.com/code/zenodo-4758419.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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 2024. (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: papers linking to it

Research papers in the 480 tracked journals that link to TensorFlow (https://doi.org/10.5281/zenodo.4758419), 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.

- Zenodo
- Software
- 2021
- archives github.com/tensorflow/tensorflow
- https://doi.org/10.5281/zenodo.4758419

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

## 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 2024.
- By category: AI (3); the journals with the most are Knowledge-Based Systems (1), Applied Intelligence (1) and Neural Computing and Applications (1).
- It is a Zenodo archive of tensorflow/tensorflow, which other papers here link to as well.

## By year

*Papers linking to TensorFlow by publication year*

| Year | Papers |
|---|---:|
| 2021 | 1 |
| 2022 | 1 |
| 2024 | 1 |

## Journals

*Journals whose papers link to TensorFlow most*

| Journal | Papers |
|---|---:|
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 1 |
| [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 1 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |

## Related repositories

*Linked repositories TensorFlow derives from or that derive from it*

| Repository | Relation | Papers |
|---|---|---:|
| [tensorflow/tensorflow](https://scholar4ai.com/code/github-tensorflow-tensorflow.md) | TensorFlow is its Zenodo archive | 9 |

## Papers

*Papers linking to TensorFlow, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2024-09-02 | [A comprehensive review of model compression techniques in machine learning](https://doi.org/10.1007/s10489-024-05747-w) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Pierre V. Dantas, Waldir Sabino da Silva, Lucas Carvalho Cordeiro et al. | 271 | cites it |
| 2021-12-23 | [Intra-domain and cross-domain transfer learning for time series data—How transferable are the features?](https://doi.org/10.1016/j.knosys.2021.107976) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Erik Otović, Marko Njirjak, Dario Jozinović et al. | 69 | cites it |
| 2022-06-26 | [Machine learning for groundwater pollution source identification and monitoring network optimization](https://doi.org/10.1007/s00521-022-07507-8) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Yiannis Ν. Kontos, Theodosios Kassandros, Konstantinos Perifanos et al. | 36 | 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: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-4758419

```bibtex
@misc{scholar4ai-code-zenodo-4758419,
  author = {{Scholar4AI}},
  title = {TensorFlow: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-4758419}},
  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/).