---
title: "tensorflow/models: papers citing this GitHub repository"
description: "13 papers in the tracked journals link to the GitHub repository tensorflow/models in their Crossref records, the first in 2019; most of them (5) in 2024."
url: https://scholar4ai.com/code/github-tensorflow-models
markdown_url: https://scholar4ai.com/code/github-tensorflow-models.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "13 papers in the tracked journals link to the GitHub repository tensorflow/models in their Crossref records, the first in 2019; most of them (5) 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/models: papers linking to it

Research papers in the 480 tracked journals that link to tensorflow/models (https://github.com/tensorflow/models), 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
- 77,636 stars
- 44,778 forks
- Python
- created 2016
- https://github.com/tensorflow/models

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

## Key findings

- 13 papers in the tracked journals link to the GitHub repository tensorflow/models in their Crossref records, the first in 2019; most of them (5) in 2024.
- By category: AI (13); the journals with the most are Expert Systems with Applications (4), Neural Computing and Applications (2) and International Journal of Computer Vision (2).

## By year

*Papers linking to tensorflow/models by publication year*

| Year | Papers |
|---|---:|
| 2019 | 1 |
| 2020 | 1 |
| 2021 | 4 |
| 2022 | 2 |
| 2024 | 5 |

## Journals

*Journals whose papers link to tensorflow/models most*

| Journal | Papers |
|---|---:|
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 4 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 2 |
| [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 2 |
| [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 1 |
| [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2019-10-13 | [Real-time monitoring of driver drowsiness on mobile platforms using 3D neural networks](https://doi.org/10.1007/s00521-019-04506-0) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Jasper S. Wijnands, Jason Thompson, Kerry A. Nice et al. | 92 | cites it |
| 2021-06-18 | [Generalizing state-of-the-art object detectors for autonomous vehicles in unseen environments](https://doi.org/10.1016/j.eswa.2021.115417) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Amir Khosravian, Abdollah Amirkhani, Hossein Kashiani et al. | 71 | cites it |
| 2021-01-11 | [Label-Free Robustness Estimation of Object Detection CNNs for Autonomous Driving Applications](https://doi.org/10.1007/s11263-020-01423-x) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Arvind Kumar Shekar, Liang Gou, Liu Ren et al. | 24 | cites it |
| 2024-02-07 | [Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers](https://doi.org/10.1038/s42256-023-00773-8) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | Harry Coppock, George Nicholson, Ivan Kiskin et al. | 23 | cites it |
| 2021-07-21 | [Detect and defense against adversarial examples in deep learning using natural scene statistics and adaptive denoising](https://doi.org/10.1007/s00521-021-06330-x) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | anouar kherchouche, Sid Ahmed Fezza, Wassim Hamidouche | 20 | cites it |
| 2020-07-02 | [Comparison of state-of-the-art deep learning APIs for image multi-label classification using semantic metrics](https://doi.org/10.1016/j.eswa.2020.113656) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Adam Kubany, Shimon Ben Ishay, Ruben Sacha Ohayon et al. | 17 | cites it |
| 2022-09-03 | [Edge-Aware Graph Matching Network for Part-Based Semantic Segmentation](https://doi.org/10.1007/s11263-022-01671-z) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Umberto Michieli, Pietro Zanuttigh | 16 | cites it |
| 2021-01-08 | [Artificial intelligence-based techniques for analysis of body cavity fluids: a review](https://doi.org/10.1007/s10462-020-09946-y) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Aftab Ahmad Mir, Abid Sarwar | 9 | cites it |
| 2022-08-30 | [Deep learning model for doors detection: A contribution for context-awareness recognition of patients with Parkinson’s disease](https://doi.org/10.1016/j.eswa.2022.118712) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Helena R. Gonçalves, Cristina P. Santos | 7 | cites it |
| 2024-06-05 | [PoLYTC: a novel BERT-based classifier to detect political leaning of YouTube videos based on their titles](https://doi.org/10.1186/s40537-024-00946-1) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Nouar AlDahoul, Talal Rahwan, Yasir Zaki | 6 | cites it |
| 2024-06-11 | [A transfer-learning-based windspeed estimation on the ocean surface: implication for the requirements on the spatial-spectral resolution of remote sensors](https://doi.org/10.1007/s10489-024-05523-w) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Shuang Dong, Ying Li, Zhaoyi Zhang et al. | 6 | cites it |
| 2024-02-29 | [An NLP-based system for modulating virtual experiences using speech instructions](https://doi.org/10.1016/j.eswa.2024.123484) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Moshira Abdalla, Heba Hassan, Nourhan Mostafa et al. | 4 | cites it |
| 2024-10-26 | [Disfluency annotated corpora for Indian English in technical domains](https://doi.org/10.1007/s10579-024-09781-5) | [Language Resources and Evaluation](https://scholar4ai.com/journals/language-resources-and-evaluation.md) | Vandan Mujadia, Pruthwik Mishra, Dipti Misra Sharma | 2 | 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/models: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-tensorflow-models

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