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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:

Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models
Chengcheng Ma, Yang Liu, Jiankang Deng, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 33, Iss. 9, pp. 4616-4629
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

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
Collaborative large language models for automated data extraction in living systematic reviews
Muhammad Ali Khan, Umair Ayub, Syed Arsalan Ahmed Naqvi, et al.
Journal of the American Medical Informatics Association (2025)
Open Access | Times Cited: 1
Pro-Tuning: Unified Prompt Tuning for Vision Tasks
Xing Nie, Bolin Ni, Jianlong Chang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 34, Iss. 6, pp. 4653-4667
Open Access | Times Cited: 28
Few-shot adaptation of multi-modal foundation models: a survey
Fan Liu, Tianshu Zhang, Wenwen Dai, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 8
Domain Aligned CLIP for Few-shot Classification
Muhammad Waleed Gondal, Jochen Gast, Inigo Alonso Ruiz, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024)
Open Access | Times Cited: 5
Visual Tuning
Bruce X.B. Yu, Jianlong Chang, Haixin Wang, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 12, pp. 1-38
Open Access | Times Cited: 4
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-Trained Vision-Language Models
Lin Li, Haoyan Guan, Jianing Qiu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 24408-24419
Closed Access | Times Cited: 4
DVPT: Dynamic visual prompt tuning of large pre-trained models for medical image analysis
Along He, Yanlin Wu, Zhihong Wang, et al.
Neural Networks (2025) Vol. 185, pp. 107168-107168
Closed Access
F-SCP: An automatic prompt generation method for specific classes based on visual language pre-training models
Baihong Han, Xiaoyan Jiang, Zhijun Fang, et al.
Pattern Recognition (2023) Vol. 147, pp. 110096-110096
Closed Access | Times Cited: 9
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition With Limited Annotations
Ping Hu, Ximeng Sun, Stan Sclaroff, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 5, pp. 3450-3462
Open Access | Times Cited: 5
Hierarchical Multi-modal Prompting Transformer for Multi-modal Long Document Classification
Tengfei Liu, Yongli Hu, Junbin Gao, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 7, pp. 6376-6390
Closed Access | Times Cited: 1
MLTU: mixup long-tail unsupervised zero-shot image classification on vision-language models
Yunpeng Jia, Xiufen Ye, Xinkui Mei, et al.
Multimedia Systems (2024) Vol. 30, Iss. 3
Open Access | Times Cited: 1
Deep Feature Discriminability as a Diagnostic Measure of Overfitting in CNN Models
O. K. Sikha, Raúl Benítez
Lecture notes in networks and systems (2024), pp. 218-233
Closed Access | Times Cited: 1
Decomposed Prototype Learning for Few-Shot Scene Graph Generation
X. Y. Li, Jun Xiao, Guikun Chen, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2024)
Open Access | Times Cited: 1
Balancing Privacy and Robustness in Prompt Learning for Large Language Models
Chiyu Shi, Junyu Su, Chiawei Chu, et al.
Mathematics (2024) Vol. 12, Iss. 21, pp. 3359-3359
Open Access | Times Cited: 1
Few-shot Adaptation of Multi-modal Foundation Models: A Survey
Fan Liu, Tianshu Zhang, Wenwen Dai, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Multi-view Vision Fusion Network: Can 2D Pre-trained Model Boost 3D Point Cloud Data-scarce Learning?
Hao-Yang Peng, Baopu Li, Bo Zhang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 34, Iss. 7, pp. 5951-5962
Closed Access | Times Cited: 2
MLTU: Mixup Long-Tail Unsupervised Zero-Shot Image Classification on Vision-Language Models
Yunpeng Jia, Xiufen Ye, Xinkui Mei, et al.
Research Square (Research Square) (2024)
Open Access
Towards visual emotion analysis via Multi-Perspective Prompt Learning with Residual-Enhanced Adapter
Chunlei Wu, Qinfu Xu, Yiwei Wei, et al.
Knowledge-Based Systems (2024) Vol. 295, pp. 111790-111790
Closed Access
Multi-modal Attribute Prompting for Vision-Language Models
Xin Liu, Jiamin Wu, Wenfei Yang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 11, pp. 11579-11591
Open Access
Ensembling disentangled domain-specific prompts for domain generalization
Fangbin Xu, Shizhuo Deng, Tong Jia, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112358-112358
Closed Access
Compositional Kronecker Context Optimization for vision–language models
Kun Ding, Xiaohui Li, Qiang Yu, et al.
Neurocomputing (2024) Vol. 608, pp. 128421-128421
Open Access
CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning
Lianggangxu Chen, Xuejiao Wang, Jiale Lu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 34, pp. 27863-27873
Closed Access
Prompting Video-Language Foundation Models with Domain-specific Fine-grained Heuristics for Video Question Answering
Ting Yu, K. S. Fu, Shuhui Wang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024), pp. 1-1
Open Access
Improving Pre-trained CNN-LSTM Models for Image Captioning with Hyper-Parameter Optimization
Nuha Mohammed Khassaf, Nada Hussein M. Ali
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 5, pp. 17337-17343
Open Access
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