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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Robust fine-tuning of zero-shot models
Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 220

Showing 1-25 of 220 citing articles:

Conditional Prompt Learning for Vision-Language Models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 681
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
Peng Gao, Shijie Geng, Renrui Zhang, et al.
International Journal of Computer Vision (2023) Vol. 132, Iss. 2, pp. 581-595
Closed Access | Times Cited: 322
PointCLIP: Point Cloud Understanding by CLIP
Renrui Zhang, Ziyu Guo, Wei Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 8542-8552
Open Access | Times Cited: 219
Reproducible Scaling Laws for Contrastive Language-Image Learning
Mehdi Cherti, Romain Beaumont, Ross Wightman, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 2818-2829
Closed Access | Times Cited: 197
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Jingfeng Yang, Hongye Jin, Ruixiang Tang, et al.
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 6, pp. 1-32
Open Access | Times Cited: 163
Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification
Renrui Zhang, Wei Zhang, Rongyao Fang, et al.
Lecture notes in computer science (2022), pp. 493-510
Closed Access | Times Cited: 130
Scaling Language-Image Pre-Training via Masking
Yanghao Li, Haoqi Fan, Ronghang Hu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 125
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling
Renrui Zhang, Rongyao Fang, Wei Zhang, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 111
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging
Shekoofeh Azizi, Laura Culp, Jan Freyberg, et al.
Nature Biomedical Engineering (2023) Vol. 7, Iss. 6, pp. 756-779
Closed Access | Times Cited: 104
Vision-Language Models for Vision Tasks: A Survey
J Zhang, Jiaxing Huang, Sheng Jin, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5625-5644
Open Access | Times Cited: 104
What does a platypus look like? Generating customized prompts for zero-shot image classification
Sarah I. Pratt, Ian Covert, Rosanne Liu, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 15645-15655
Open Access | Times Cited: 73
Sigmoid Loss for Language Image Pre-Training
Xiaohua Zhai, Basil Mustafa, А. И. Колесников, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023)
Open Access | Times Cited: 72
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models
Zhiqiu Lin, Samuel Yu, Zhiyi Kuang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 55
MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning
Yi Xin, Junlong Du, Qiang Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 14, pp. 16076-16084
Open Access | Times Cited: 20
Fine-tuning protein language models boosts predictions across diverse tasks
Robert Schmirler, Michael Heinzinger, Burkhard Rost
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 18
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation
Seokju Cho, Heeseong Shin, Sunghwan Hong, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 32, pp. 4113-4123
Closed Access | Times Cited: 18
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang, Enneng Yang, Li Shen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 47, Iss. 3, pp. 1464-1483
Open Access | Times Cited: 14
Cross-modal augmentation for few-shot multimodal fake news detection
Ye Jiang, Taihang Wang, Xiaoman Xu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109931-109931
Closed Access | Times Cited: 1
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
Peng Gao, Shijie Geng, Renrui Zhang, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 66
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
Junbum Cha, Kyungjae Lee, Sungrae Park, et al.
Lecture notes in computer science (2022), pp. 440-457
Closed Access | Times Cited: 59
What can 1.8 billion regressions tell us about the pressures shaping high-level visual representation in brains and machines?
Colin Conwell, Jacob S. Prince, Kendrick Kay, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 50
Finetune like you pretrain: Improved finetuning of zero-shot vision models
Sachin Goyal, Ananya Kumar, Sankalp Garg, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 39
Self-regulating Prompts: Foundational Model Adaptation without Forgetting
Muhammad Uzair Khattak, Syed Talal Wasim, Muzammal Naseer, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 15144-15154
Open Access | Times Cited: 39
HOICLIP: Efficient Knowledge Transfer for HOI Detection with Vision-Language Models
Shan Ning, Longtian Qiu, Yongfei Liu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 36
Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements
Laith Alzubaidi, Aiman Al-Sabaawi, Jinshuai Bai, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-41
Open Access | Times Cited: 35
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