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:

Learning to Prompt for Vision-Language Models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy, et al.
International Journal of Computer Vision (2022) Vol. 130, Iss. 9, pp. 2337-2348
Closed Access | Times Cited: 1148

Showing 51-75 of 1148 citing articles:

RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions
Yunlong Wang, Shuyuan Shen, Brian Y. Lim
(2023), pp. 1-29
Open Access | Times Cited: 46

Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation
Yulu Gan, Yan Bai, Yihang Lou, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 6, pp. 7595-7603
Open Access | Times Cited: 46

Turning a CLIP Model into a Scene Text Detector
Wenwen Yu, Yuliang Liu, Wei Hua, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 6978-6988
Open Access | Times Cited: 45

Towards Open Vocabulary Learning: A Survey
Jianzong Wu, Xiangtai Li, Shilin Xu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 7, pp. 5092-5113
Open Access | Times Cited: 42

Visual Prompt Tuning for Generative Transfer Learning
Kihyuk Sohn, Hui‐Wen Chang, José Lezama, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 19840-19851
Open Access | Times Cited: 41

Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
Da-Wei Zhou, Zi-Wen Cai, Han-Jia Ye, et al.
International Journal of Computer Vision (2024)
Closed Access | Times Cited: 31

CPT: Color-based Prompt Tuning for pre-trained vision-language models
Yuan Yao, Ao Zhang, Zhengyan Zhang, et al.
AI Open (2024)
Open Access | Times Cited: 28

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

VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection
Peng Wu, Xuerong Zhou, Guansong Pang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 6, pp. 6074-6082
Open Access | Times Cited: 19

PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation
Haibo Jin, Haoxuan Che, Yi Lin, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 3, pp. 2607-2615
Open Access | Times Cited: 18

Rethinking Vision Transformer and Masked Autoencoder in Multimodal Face Anti-Spoofing
Zitong Yu, Rizhao Cai, Yawen Cui, et al.
International Journal of Computer Vision (2024) Vol. 132, Iss. 11, pp. 5217-5238
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

Innovating by prompting: How to facilitate innovation in the age of generative AI
Leif Sundberg, Jonny Holmström
Business Horizons (2024) Vol. 67, Iss. 5, pp. 561-570
Open Access | Times Cited: 17

Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation
Shuanghao Bai, Min Zhang, Wanqi Zhou, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 2, pp. 729-737
Open Access | Times Cited: 15

LangSplat: 3D Language Gaussian Splatting
Minghan Qin, Wanhua Li, Jiawei Zhou, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 42, pp. 20051-20060
Closed Access | Times Cited: 15

A Comprehensive Survey of Deep Learning Approaches in Image Processing
Μαρία Τρίγκα, Ηλίας Δρίτσας
Sensors (2025) Vol. 25, Iss. 2, pp. 531-531
Open Access | Times Cited: 1

Vision-language model-based human-robot collaboration for smart manufacturing: A state-of-the-art survey
Junming Fan, Yue Yin, Tian Wang, et al.
Frontiers of Engineering Management (2025)
Open Access | Times Cited: 1

CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models
Yuan Yao, Ao Zhang, Zhengyan Zhang, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 84

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

Debiased Learning from Naturally Imbalanced Pseudo-Labels
Xudong Wang, Zhirong Wu, Long Lian, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 14627-14637
Open Access | Times Cited: 51

Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks
Xizhou Zhu, Jinguo Zhu, Hao Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 16783-16794
Open Access | Times Cited: 48

Prompt engineering for zero‐shot and few‐shot defect detection and classification using a visual‐language pretrained model
Gunwoo Yong, Kahyun Jeon, Daeyoung Gil, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 11, pp. 1536-1554
Closed Access | Times Cited: 44

Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos
Muheng Li, Lei Chen, Yueqi Duarr, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 43

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