tensorflow/models: papers linking to it

GitHub · 77,636 stars · 44,778 forks · Python · created 2016 · github.com/tensorflow/models

← Code and data repositories cited in research papers

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.

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#

20192024

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	4
Neural Computing and Applications	2
International Journal of Computer Vision	2
Applied Intelligence	1
Artificial Intelligence Review	1

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	Neural Computing and Applications	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	Expert Systems with Applications	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	International Journal of Computer Vision	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	Nature Machine Intelligence	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	Neural Computing and Applications	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	Expert Systems with Applications	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	International Journal of Computer Vision	Umberto Michieli, Pietro Zanuttigh	16	cites it
2021-01-08	Artificial intelligence-based techniques for analysis of body cavity fluids: a review	Artificial Intelligence Review	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	Expert Systems with Applications	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	Journal Of Big Data	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	Applied Intelligence	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	Expert Systems with Applications	Moshira Abdalla, Heba Hassan, Nourhan Mostafa et al.	4	cites it
2024-10-26	Disfluency annotated corpora for Indian English in technical domains	Language Resources and Evaluation	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

@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}
}

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