OpenCLIP: papers linking to it

Zenodo · Software · 2021 · archives github.com/mlfoundations/open_clip · doi.org/10.5281/zenodo.5143773

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to OpenCLIP (https://doi.org/10.5281/zenodo.5143773), 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#

13 papers in the tracked journals link to the Zenodo dataset OpenCLIP in their Crossref records, the first in 2023; most of them (5) in 2026.
By category: AI (13); the journals with the most are International Journal of Computer Vision (8), Expert Systems with Applications (2) and Neural Networks (1).
It is a Zenodo archive of mlfoundations/open_clip, which other papers here link to as well.

By year#

20232026

Papers linking to OpenCLIP by publication year
Year	Papers
2023	1
2024	2
2025	5
2026	5

Journals#

Journals whose papers link to OpenCLIP most
Journal	Papers
International Journal of Computer Vision	8
Expert Systems with Applications	2
Neural Networks	1
Machine Learning	1
Pattern Recognition	1

Linked repositories OpenCLIP derives from or that derive from it
Repository	Relation	Papers
mlfoundations/open_clip	OpenCLIP is its Zenodo archive	1

Papers linking to OpenCLIP, most cited first
Published	Title	Journal	Authors	Citations	Link
2024-09-19	FastComposer: Tuning-Free Multi-subject Image Generation with Localized Attention	International Journal of Computer Vision	Guangxuan Xiao, Tianwei Yin, William T. Freeman et al.	167	cites it
2024-08-09	A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking	International Journal of Computer Vision	Chang Liu, Yinpeng Dong, Wenzhao Xiang et al.	104	cites it
2023-12-03	Context-Aware Robust Fine-Tuning	International Journal of Computer Vision	Xiaofeng Mao, Yufeng Chen, Xiaojun Jia et al.	23	cites it
2025-02-18	VideoQA in the Era of LLMs: An Empirical Study	International Journal of Computer Vision	Junbin Xiao, Nanxin Huang, Hangyu Qin et al.	16	cites it
2025-01-28	Learning with Enriched Inductive Biases for Vision-Language Models	International Journal of Computer Vision	Lingxiao Yang, Ru‐Yuan Zhang, Qi Chen et al.	11	cites it
2025-12-10	Learn from foundation model: Fruit detection model without manual annotation	Pattern Recognition	Yanan Wang, Zhenghao Fei, Ruichen Li et al.	7	cites it
2026-02-12	EgoPlan-Bench: Benchmarking Multimodal Large Language Models for Human-Level Planning	International Journal of Computer Vision	Yuehua Chen, Yuying Ge, Yixiao Ge et al.	7	cites it
2025-06-20	Training-free, Identity-preserving Image Editing for Fashion Pose Alignment and Normalization	Expert Systems with Applications	Potito Aghilar, Vito Walter Anelli, Michelantonio Trizio et al.	4	cites it
2026-03-26	Guidelines for the selection, calibration, and evaluation of post-hoc OOD detectors in high-dimensional representations generated by CNN and ViT models in image recognition	Expert Systems with Applications	Szymon Datko, Kamil Szyc, Tomasz Walkowiak et al.	1	cites it
2025-02-24	Uncover the balanced geometry in long-tailed contrastive language-image pretraining	Machine Learning	Zhihan Zhou, Yushi Ye, Feng Hong et al.	0	cites it
2026-03-09	Towards Scene-Aware Video-to-Spatial Audio Generation	International Journal of Computer Vision	Jaeyeon Kim, Heeseung Yun, Gunhee Kim	0	cites it
2026-04-30	Semantic clustering under resource constraints via Bayesian low-rank adaptation	Neural Networks	Minda Yu, Xulun Ye	0	cites it
2026-08-01	GUIDED++: Enhancing Discrimination with Conjunctive Verification for Fine-Grained Open-Vocabulary Object Detection	International Journal of Computer Vision	Jiaming Li, Zhijia Liang, Shuangyin Liu 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). OpenCLIP: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-5143773

@misc{scholar4ai-code-zenodo-5143773,
  author = {{Scholar4AI}},
  title = {OpenCLIP: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-5143773}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).

OpenCLIP: papers linking to it

Key findings#

By year#

Journals#

Related repositories#

How this is measured#