---
title: "fastai/imagenette: papers citing this GitHub repository"
description: "23 papers in the tracked journals link to the GitHub repository fastai/imagenette in their Crossref records, the first in 2021; most of them (9) in 2025."
url: https://scholar4ai.com/code/github-fastai-imagenette
markdown_url: https://scholar4ai.com/code/github-fastai-imagenette.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "23 papers in the tracked journals link to the GitHub repository fastai/imagenette in their Crossref records, the first in 2021; most of them (9) 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)
---

# fastai/imagenette: papers linking to it

Research papers in the 480 tracked journals that link to fastai/imagenette (https://github.com/fastai/imagenette), 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
- 1,140 stars
- 77 forks
- Jupyter Notebook
- license Apache-2.0
- created 2019
- https://github.com/fastai/imagenette

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

## Key findings

- 23 papers in the tracked journals link to the GitHub repository fastai/imagenette in their Crossref records, the first in 2021; most of them (9) in 2025.
- By category: AI (23); the journals with the most are Neural Networks (8), Pattern Recognition (5) and Neural Computing and Applications (2).

## By year

*Papers linking to fastai/imagenette by publication year*

| Year | Papers |
|---|---:|
| 2021 | 1 |
| 2022 | 2 |
| 2023 | 2 |
| 2024 | 3 |
| 2025 | 9 |
| 2026 | 6 |

## Journals

*Journals whose papers link to fastai/imagenette most*

| Journal | Papers |
|---|---:|
| [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 8 |
| [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 5 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 2 |
| [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 2 |
| [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 2 |

## Papers

*Papers linking to fastai/imagenette, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2021-07-28 | [Towards robust explanations for deep neural networks](https://doi.org/10.1016/j.patcog.2021.108194) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Ann-Kathrin Dombrowski, Christopher J. Anders, Klaus‐Robert Müller et al. | 49 | cites it |
| 2022-08-15 | [Interpretable Artificial Intelligence through Locality Guided Neural Networks](https://doi.org/10.1016/j.neunet.2022.08.009) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Randy Tan, Lei Gao, Naimul Khan et al. | 19 | cites it |
| 2022-04-13 | [FocusNet: Classifying better by focusing on confusing classes](https://doi.org/10.1016/j.patcog.2022.108709) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Xue Zhang, Zehua Sheng, Hui‐Liang Shen | 13 | cites it |
| 2024-05-17 | [Regional Adversarial Training for Better Robust Generalization](https://doi.org/10.1007/s11263-024-02103-w) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Chuanbiao Song, Yanbo Fan, Aoyang Zhou et al. | 13 | cites it |
| 2023-08-28 | [Improving image classification of one-dimensional convolutional neural networks using Hilbert space-filling curves](https://doi.org/10.1007/s10489-023-04945-2) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Bert Verbruggen, Vincent Ginis | 11 | cites it |
| 2024-06-19 | [Improving interpretability via regularization of neural activation sensitivity](https://doi.org/10.1007/s10994-024-06549-4) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Ofir Moshe, Gil Fidel, Ron Bitton et al. | 9 | cites it |
| 2023-11-17 | [Topological structure of complex predictions](https://doi.org/10.1038/s42256-023-00749-8) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | Meng Liu, Tamal K. Dey, David F. Gleich | 8 | cites it |
| 2025-05-16 | [Evaluation and analysis of visual methods for CNN explainability: a novel approach and experimental study](https://doi.org/10.1007/s00521-025-11282-7) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Andrei Dugăeșescu, Adina Magda Florea | 7 | cites it |
| 2025-06-06 | [Rect-ViT: Rectified attention via feature attribution can improve the adversarial robustness of Vision Transformers](https://doi.org/10.1016/j.neunet.2025.107666) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Xu Kang, Bin Song | 4 | cites it |
| 2025-06-23 | [Image Captions are Natural Prompts for Training Data Synthesis](https://doi.org/10.1007/s11263-025-02436-0) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Shiye Lei, Hao Chen, Sen Zhang et al. | 4 | cites it |
| 2025-07-15 | [Capsule networks do not need to model everything](https://doi.org/10.1016/j.patcog.2025.112119) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Riccardo Renzulli, Enzo Tartaglione, Marco Grangetto | 3 | cites it |
| 2026-01-09 | [A novel backpropagation algorithm based on negated kurtosis loss for training shallow, convolutional, and deep neural networks](https://doi.org/10.1016/j.neunet.2026.108570) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Engin Cemal Mengüç, Alper Emlek, Danilo P. Mandic | 3 | cites it |
| 2026-06-04 | [Temperature-free loss function for contrastive learning](https://doi.org/10.1016/j.neunet.2026.109222) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Bum Jun Kim, Sang‐Woo Kim | 3 | cites it |
| 2025-11-27 | [FedPAD: Aggregation-free federated learning with prototype-based adaptive distillation](https://doi.org/10.1016/j.knosys.2025.114951) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Tao Zhong, Kaiyan Zhao, Steve Drew et al. | 2 | cites it |
| 2026-05-29 | [DPC: Dynamic purification chain for adaptive adversarial defense](https://doi.org/10.1016/j.neunet.2026.109189) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Zeshan Pang, Yuyuan Sun, Rongtao Liao et al. | 2 | cites it |
| 2024-03-28 | [Learn & drop: fast learning of cnns based on layer dropping](https://doi.org/10.1007/s00521-024-09592-3) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Giorgio Cruciata, Luca Cruciata, Liliana Lo Presti et al. | 1 | cites it |
| 2025-03-25 | [Online dimensionality reduction through stacked generalization of spectral methods with deep networks](https://doi.org/10.1007/s10994-024-06715-8) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Juan Carlos Alvarado‐Pérez, Miguel Ángel García, Domènec Puig | 1 | cites it |
| 2025-07-28 | [Lossless steganographic network via model arithmetic operations](https://doi.org/10.1016/j.neunet.2025.107918) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Yao Fan, Fuqiang Di, Mingqing Zhang et al. | 1 | cites it |
| 2025-08-05 | [BCVR: Bootstrap Clustering with Variance Regularization and Covariance Contrast for Self-supervised Learning](https://doi.org/10.1016/j.knosys.2025.114207) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Cong Guo, Kan Ren, Qian Chen | 1 | cites it |
| 2025-11-01 | [BAM: Backdoor defense based on adversarial mitigation](https://doi.org/10.1016/j.patcog.2025.112662) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Run Lu, Peipeng Yu, Zhitao Huang et al. | 1 | cites it |
| 2026-04-06 | [PGMM: Prior Guided Multi-expert Model for Long-tailed Classification](https://doi.org/10.1016/j.patcog.2026.113669) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Chenxun Deng, Lin Ji, Chengyang Zhang et al. | 1 | cites it |
| 2026-03-28 | [Contrast sensitivity in multimodal large language models: A psychophysics-inspired evaluation](https://doi.org/10.1016/j.neunet.2026.108903) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Pablo Hernández-Cámara, Alexandra Gomez-Villa, José Manuel Jaén-Lorites et al. | 0 | cites it |
| 2026-05-16 | [Stochastic approximation to contrastive learning](https://doi.org/10.1016/j.neunet.2026.109098) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Erland Brandser Olsson, Zhirong Yang | 0 | 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). fastai/imagenette: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-fastai-imagenette

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