akamaster/pytorch_resnet_cifar10: papers linking to it

GitHub · 1,375 stars · 343 forks · Python · license BSD-2-Clause · created 2018 · github.com/akamaster/pytorch_resnet_cifar10

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to akamaster/pytorch_resnet_cifar10 (https://github.com/akamaster/pytorch_resnet_cifar10), 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#

3 papers in the tracked journals link to the GitHub repository akamaster/pytorch_resnet_cifar10 in their Crossref records, the first in 2019; most of them (1) in 2024.
By category: AI (3); the journals with the most are Neural Computing and Applications (1), Neural Networks (1) and International Journal of Computer Vision (1).

By year#

20192024

Papers linking to akamaster/pytorch_resnet_cifar10 by publication year
Year	Papers
2019	1
2022	1
2024	1

Journals#

Journals whose papers link to akamaster/pytorch_resnet_cifar10 most
Journal	Papers
Neural Computing and Applications	1
Neural Networks	1
International Journal of Computer Vision	1

Papers linking to akamaster/pytorch_resnet_cifar10, most cited first
Published	Title	Journal	Authors	Citations	Link
2022-10-02	Distribution-Sensitive Information Retention for Accurate Binary Neural Network	International Journal of Computer Vision	Haotong Qin, Xiangguo Zhang, Ruihao Gong et al.	143	cites it
2024-12-28	Decoding BatchNorm statistics via anchors pool for data-free models based on continual learning	Neural Computing and Applications	Xiaobin Li, Weiqiang Wang, Guangluan Xu	2	cites it
2019-04-08	DynMat, a network that can learn after learning	Neural Networks	Jung H. Lee	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). akamaster/pytorch_resnet_cifar10: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-akamaster-pytorch-resnet-cifar10

@misc{scholar4ai-code-github-akamaster-pytorch-resnet-cifar10,
  author = {{Scholar4AI}},
  title = {akamaster/pytorch_resnet_cifar10: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-akamaster-pytorch-resnet-cifar10}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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