---
title: "rwightman/pytorch-image-models: v0.8.10dev0 Release"
description: "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."
url: https://scholar4ai.com/code/zenodo-4414861
markdown_url: https://scholar4ai.com/code/zenodo-4414861.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (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)
---

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

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.

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

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

## 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

*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](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 4 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 3 |
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 2 |
| [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 2 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 2 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Rethinking Out-of-Distribution Detection From a Human-Centric Perspective](https://doi.org/10.1007/s11263-024-02099-3) (International Journal of Computer Vision, 2024)
  - [Towards Boosting Out-of-Distribution Detection from a Spatial Feature Importance Perspective](https://doi.org/10.1007/s11263-025-02347-0) (International Journal of Computer Vision, 2025) — cites the paper above

## Related repositories

*Linked repositories rwightman/pytorch-image-models: v0.8.10dev0 Release derives from or that derive from it*

| Repository | Relation | Papers |
|---|---|---:|
| [huggingface/pytorch-image-models](https://scholar4ai.com/code/github-huggingface-pytorch-image-models.md) | rwightman/pytorch-image-models: v0.8.10dev0 Release is its Zenodo archive | 23 |

## Papers

*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](https://doi.org/10.1007/s11263-022-01739-w) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Qiming Zhang, Yufei Xu, Jing Zhang et al. | 278 | cites it |
| 2023-05-02 | [Improved robustness of vision transformers via prelayernorm in patch embedding](https://doi.org/10.1016/j.patcog.2023.109659) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang et al. | 17 | cites it |
| 2023-02-21 | [Shape-aware fine-grained classification of erythroid cells](https://doi.org/10.1007/s10489-023-04465-z) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Ye Wang, Rui Ma, Xiaoqing Ma et al. | 9 | cites it |
| 2023-06-09 | [What Limits the Performance of Local Self-attention?](https://doi.org/10.1007/s11263-023-01813-x) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 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](https://doi.org/10.1007/s10994-024-06693-x) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 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](https://doi.org/10.1007/s10994-025-06834-w) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Frederik Pahde, Thomas Wiegand, Sebastian Lapuschkin et al. | 6 | cites it |
| 2024-05-22 | [Rethinking Out-of-Distribution Detection From a Human-Centric Perspective](https://doi.org/10.1007/s11263-024-02099-3) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 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](https://doi.org/10.1016/j.eswa.2025.127998) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 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](https://doi.org/10.1016/j.knosys.2026.115830) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Shiqi Zhao, Zhengjie Wang, Haozu Sun et al. | 5 | cites it |
| 2024-08-17 | [FGLNet: frequency global and local context channel attention networks](https://doi.org/10.1007/s10489-024-05729-y) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 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?](https://doi.org/10.1007/s00146-024-02145-1) | [AI & Society](https://scholar4ai.com/journals/ai-society.md) | Daigo Shoji | 1 | cites it |
| 2025-02-05 | [Towards Boosting Out-of-Distribution Detection from a Spatial Feature Importance Perspective](https://doi.org/10.1007/s11263-025-02347-0) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 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](https://doi.org/10.1007/s12559-025-10451-z) | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | Samya Acharja, Md. Tanvir Rahman, Farjana Haque Chamok et al. | 1 | cites it |
| 2025-10-04 | [Objectness scan for efficient vision Mamba](https://doi.org/10.1016/j.knosys.2025.114573) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Kai Zhang, Xia Yuan, Chunxia Zhao | 0 | cites it |
| 2025-11-22 | [Label co-occurrence guided hash for multi-label image retrieval](https://doi.org/10.1016/j.eswa.2025.130505) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 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](https://doi.org/10.1016/j.neunet.2026.108897) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Xuran Li, Jingyi Wang, Xiaohan Yuan et al. | 0 | cites it |
| 2026-05-28 | [Understanding cross-model perceptual invariances through ensemble metamers](https://doi.org/10.1007/s00521-026-12145-5) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 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](https://doi.org/10.1016/j.eswa.2026.133156) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 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](https://doi.org/10.1007/s00521-026-12450-z) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).