rwightman/pytorch-image-models: v0.8.10dev0 Release: papers linking to it

Zenodo · Software · 2023 · archives github.com/rwightman/pytorch-image-models · doi.org/10.5281/zenodo.4414861

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to rwightman/pytorch-image-models: v0.8.10dev0 Release (https://doi.org/10.5281/zenodo.4414861), 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#

19 papers in the tracked journals link to the Zenodo dataset rwightman/pytorch-image-models: v0.8.10dev0 Release in their Crossref records, the first in 2023; most of them (7) in 2025.
By category: AI (19); the journals with the most are International Journal of Computer Vision (4), Expert Systems with Applications (3) and Knowledge-Based Systems (2).
2 of the papers build on one another: a later paper cites an earlier one that also links rwightman/pytorch-image-models: v0.8.10dev0 Release.
It is a Zenodo archive of huggingface/pytorch-image-models, which other papers here link to as well.

By year#

20232026

Papers linking to rwightman/pytorch-image-models: v0.8.10dev0 Release by publication year
Year	Papers
2023	4
2024	3
2025	7
2026	5

Journals#

Journals whose papers link to rwightman/pytorch-image-models: v0.8.10dev0 Release most
Journal	Papers
International Journal of Computer Vision	4
Expert Systems with Applications	3
Knowledge-Based Systems	2
Applied Intelligence	2
Neural Computing and Applications	2

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Rethinking Out-of-Distribution Detection From a Human-Centric Perspective International Journal of Computer Vision, 2024
- Towards Boosting Out-of-Distribution Detection from a Spatial Feature Importance Perspective International Journal of Computer Vision, 2025 — cites the paper above

Linked repositories rwightman/pytorch-image-models: v0.8.10dev0 Release derives from or that derive from it
Repository	Relation	Papers
huggingface/pytorch-image-models	rwightman/pytorch-image-models: v0.8.10dev0 Release is its Zenodo archive	23

Papers linking to rwightman/pytorch-image-models: v0.8.10dev0 Release, most cited first
Published	Title	Journal	Authors	Citations	Link
2023-01-12	ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond	International Journal of Computer Vision	Qiming Zhang, Yufei Xu, Jing Zhang et al.	278	cites it
2023-05-02	Improved robustness of vision transformers via prelayernorm in patch embedding	Pattern Recognition	Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang et al.	17	cites it
2023-02-21	Shape-aware fine-grained classification of erythroid cells	Applied Intelligence	Ye Wang, Rui Ma, Xiaoqing Ma et al.	9	cites it
2023-06-09	What Limits the Performance of Local Self-attention?	International Journal of Computer Vision	Jingkai Zhou, Pichao Wang, Jiasheng Tang et al.	9	cites it
2025-02-14	Re-assessing accuracy degradation: a framework for understanding DNN behavior on similar-but-non-identical test datasets	Machine Learning	Esla Timothy Anzaku, Haohan Wang, Ajiboye R. Babalola et al.	6	cites it
2025-08-12	Ensuring medical AI safety: interpretability-driven detection and mitigation of spurious model behavior and associated data	Machine Learning	Frederik Pahde, Thomas Wiegand, Sebastian Lapuschkin et al.	6	cites it
2024-05-22	Rethinking Out-of-Distribution Detection From a Human-Centric Perspective	International Journal of Computer Vision	Yao Tai Zhu, Yuefeng Chen, Xiaodan Li et al.	5	cites it
2025-05-04	Towards robust and generalizable adversarial purification for deep image classification under unknown attacks	Expert Systems with Applications	Kaiqiong Chen, Yiqin Lu, Zhongshu Mao et al.	5	cites it
2026-03-27	HAQ-ViT: A hardware-aware post-training quantization for efficient vision transformer inference	Knowledge-Based Systems	Shiqi Zhao, Zhengjie Wang, Haozu Sun et al.	5	cites it
2024-08-17	FGLNet: frequency global and local context channel attention networks	Applied Intelligence	Yunfei Liu, Yan Liu, Huaqiang Li et al.	4	cites it
2024-12-12	Classification of the lunar surface pattern by AI architectures: does AI see a rabbit in the Moon?	AI & Society	Daigo Shoji	1	cites it
2025-02-05	Towards Boosting Out-of-Distribution Detection from a Spatial Feature Importance Perspective	International Journal of Computer Vision	Yao Tai Zhu, Xiu Jackie Yan, Chuanlong Xie	1	cites it
2025-05-13	OBoctNet: Enhancing Ophthalmic Biomarker Detection Through Active Learning and Explainable AI in Radiological Analysis	Cognitive Computation	Samya Acharja, Md. Tanvir Rahman, Farjana Haque Chamok et al.	1	cites it
2025-10-04	Objectness scan for efficient vision Mamba	Knowledge-Based Systems	Kai Zhang, Xia Yuan, Chunxia Zhao	0	cites it
2025-11-22	Label co-occurrence guided hash for multi-label image retrieval	Expert Systems with Applications	Xi Zhang, Yongqiang Xie, Wang Xiu et al.	0	cites it
2026-03-26	PRUNE: A patching based repair framework for certifiable and privacy-robust unlearning of neural networks	Neural Networks	Xuran Li, Jingyi Wang, Xiaohan Yuan et al.	0	cites it
2026-05-28	Understanding cross-model perceptual invariances through ensemble metamers	Neural Computing and Applications	Lukas Boehm, Jonas Leo Mueller, Christoffer Löffler et al.	0	cites it
2026-06-06	Dual-Image vision–language framework with expert knowledge for automated fine-grained mint-state coin grading	Expert Systems with Applications	Melaku N. Getahun, Dmitry Anikin, Alexander Shmatok et al.	0	cites it
2026-08-01	DoorDet: semi-automated multi-class door detection dataset via object detection and large language models	Neural Computing and Applications	Licheng Zhang, Xuan-Bach D. Le, Naveed Akhtar 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). rwightman/pytorch-image-models: v0.8.10dev0 Release: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-4414861

@misc{scholar4ai-code-zenodo-4414861,
  author = {{Scholar4AI}},
  title = {rwightman/pytorch-image-models: v0.8.10dev0 Release: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-4414861}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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