aleju/imgaug: papers linking to it

GitHub · 14,734 stars · 2,443 forks · Python · license MIT · created 2015 · github.com/aleju/imgaug

← Code and data repositories cited in research papers

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.

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#

20202025

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	2
Machine Learning	2
International Journal of Computer Vision	2
Pattern Recognition	1
Expert Systems with Applications	1

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	Neural Computing and Applications	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	Nature Machine Intelligence	Markus Marks, Jin Qiuhan, Oliver Sturman et al.	129	cites it
2022-02-02	Scenic: a language for scenario specification and data generation	Machine Learning	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	Expert Systems with Applications	Amir Khosravian, Abdollah Amirkhani, Hossein Kashiani et al.	71	cites it
2022-08-29	Back-compatible Color QR Codes for colorimetric applications	Pattern Recognition	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	Neural Computing and Applications	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	International Journal of Computer Vision	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	International Journal of Computer Vision	Haochen Wang, Yujun Shen, Jingjing Fei et al.	12	cites it
2025-02-10	Verification on out-of-distribution detectors under natural perturbations	Machine Learning	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

@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}
}

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