---
title: "aleju/imgaug: papers citing this GitHub repository"
description: "9 papers in the tracked journals link to the GitHub repository aleju/imgaug in their Crossref records, the first in 2020; most of them (3) in 2022."
url: https://scholar4ai.com/code/github-aleju-imgaug
markdown_url: https://scholar4ai.com/code/github-aleju-imgaug.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "9 papers in the tracked journals link to the GitHub repository aleju/imgaug in their Crossref records, the first in 2020; 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)
---

# aleju/imgaug: papers linking to it

Research papers in the 480 tracked journals that link to aleju/imgaug (https://github.com/aleju/imgaug), 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
- 14,734 stars
- 2,443 forks
- Python
- license MIT
- created 2015
- https://github.com/aleju/imgaug

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

## Key findings

- 9 papers in the tracked journals link to the GitHub repository aleju/imgaug in their Crossref records, the first in 2020; most of them (3) in 2022.
- By category: AI (9); the journals with the most are Neural Computing and Applications (2), Machine Learning (2) and International Journal of Computer Vision (2).

## By year

*Papers linking to aleju/imgaug by publication year*

| Year | Papers |
|---|---:|
| 2020 | 1 |
| 2021 | 2 |
| 2022 | 3 |
| 2024 | 2 |
| 2025 | 1 |

## Journals

*Journals whose papers link to aleju/imgaug most*

| Journal | Papers |
|---|---:|
| [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 |
| [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 1 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |

## Papers

*Papers linking to aleju/imgaug, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2020-03-17 | [A survey on face data augmentation for the training of deep neural networks](https://doi.org/10.1007/s00521-020-04748-3) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Xiang Wang, Kai Wang, Shiguo Lian | 141 | cites it |
| 2022-04-21 | [Deep-learning-based identification, tracking, pose estimation and behaviour classification of interacting primates and mice in complex environments](https://doi.org/10.1038/s42256-022-00477-5) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | Markus Marks, Jin Qiuhan, Oliver Sturman et al. | 129 | cites it |
| 2022-02-02 | [Scenic: a language for scenario specification and data generation](https://doi.org/10.1007/s10994-021-06120-5) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Daniel J. Fremont, Edward Kim, Tommaso Dreossi et al. | 114 | 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 |
| 2022-08-29 | [Back-compatible Color QR Codes for colorimetric applications](https://doi.org/10.1016/j.patcog.2022.108981) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Ismael Benito-Altamirano, David Martínez-Carpena, Olga Casals et al. | 20 | cites it |
| 2021-10-22 | [Machine-learning-based top-view safety monitoring of ground workforce on complex industrial sites](https://doi.org/10.1007/s00521-021-06489-3) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Gelayol Golcarenarenji, Ignacio Martinez‐Alpiste, Qi Wang et al. | 18 | cites it |
| 2024-01-14 | [GyroFlow+: Gyroscope-Guided Unsupervised Deep Homography and Optical Flow Learning](https://doi.org/10.1007/s11263-023-01978-5) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Haipeng Li, Kunming Luo, Bing Zeng et al. | 15 | cites it |
| 2024-11-16 | [Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation](https://doi.org/10.1007/s11263-024-02285-3) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Haochen Wang, Yujun Shen, Jingjing Fei et al. | 12 | cites it |
| 2025-02-10 | [Verification on out-of-distribution detectors under natural perturbations](https://doi.org/10.1007/s10994-024-06666-0) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Chi Zhang, Zhe Chen, Peipei Xu et al. | 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). aleju/imgaug: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-aleju-imgaug

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