---
title: "kuangliu/pytorch-cifar: papers citing it"
description: "4 papers in the tracked journals link to the GitHub repository kuangliu/pytorch-cifar in their Crossref records, the first in 2022; most of them (3) in 2022."
url: https://scholar4ai.com/code/github-kuangliu-pytorch-cifar
markdown_url: https://scholar4ai.com/code/github-kuangliu-pytorch-cifar.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "4 papers in the tracked journals link to the GitHub repository kuangliu/pytorch-cifar in their Crossref records, the first in 2022; most of them (3) in 2022. (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)
---

# kuangliu/pytorch-cifar: papers linking to it

Research papers in the 480 tracked journals that link to kuangliu/pytorch-cifar (https://github.com/kuangliu/pytorch-cifar), 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
- 6,448 stars
- 2,162 forks
- Python
- license MIT
- created 2017
- https://github.com/kuangliu/pytorch-cifar

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

## Key findings

- 4 papers in the tracked journals link to the GitHub repository kuangliu/pytorch-cifar in their Crossref records, the first in 2022; most of them (3) in 2022.
- By category: AI (4); the journals with the most are Applied Intelligence (1), Pattern Recognition (1) and Machine Learning (1).

## By year

*Papers linking to kuangliu/pytorch-cifar by publication year*

| Year | Papers |
|---|---:|
| 2022 | 3 |
| 2025 | 1 |

## Journals

*Journals whose papers link to kuangliu/pytorch-cifar most*

| Journal | Papers |
|---|---:|
| [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 1 |
| [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 1 |
| [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 1 |
| [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 1 |

## Papers

*Papers linking to kuangliu/pytorch-cifar, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-10-02 | [Distribution-Sensitive Information Retention for Accurate Binary Neural Network](https://doi.org/10.1007/s11263-022-01687-5) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Haotong Qin, Xiangguo Zhang, Ruihao Gong et al. | 143 | cites it |
| 2022-10-14 | [Black-box Bayesian adversarial attack with transferable priors](https://doi.org/10.1007/s10994-022-06251-3) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Shudong Zhang, Haichang Gao, Chao Shu et al. | 6 | cites it |
| 2022-10-15 | [Gradient-only surrogate to resolve learning rates for robust and consistent training of deep neural networks](https://doi.org/10.1007/s10489-022-04206-8) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Younghwan Chae, Daniel Nicolas Wilke, Dominic Kafka | 5 | cites it |
| 2025-12-05 | [Regularized evidential neural networks for deep active learning](https://doi.org/10.1016/j.patcog.2025.112836) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Pengju Wang, Sicong Zhang, Rongrong Chen et al. | 4 | 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). kuangliu/pytorch-cifar: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-kuangliu-pytorch-cifar

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