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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:

CLIP-guided Prototype Modulating for Few-shot Action Recognition
Xiang Wang, Shiwei Zhang, Jun Cen, et al.
International Journal of Computer Vision (2023) Vol. 132, Iss. 6, pp. 1899-1912
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot Action Recognition
Xiang Wang, Shiwei Zhang, Zhiwu Qing, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 18011-18021
Open Access | Times Cited: 48
Task-specific alignment and multiple-level transformer for few-shot action recognition
Fei Guo, Zhu Li, YiKang Wang, et al.
Neurocomputing (2024) Vol. 598, pp. 128044-128044
Open Access | Times Cited: 6
DMSD-CDFSAR: Distillation from mixed-source domain for cross-domain few-shot action recognition
Fei Guo, YiKang Wang, Han Qi, et al.
Expert Systems with Applications (2025), pp. 126411-126411
Open Access
GSLTA-CDFSAR: Global Sequences and Local Tuples Alignment for Cross-Domain Few-Shot Action Recognition
Fei Guo, Han Qi, Xuetao Zhang, et al.
Knowledge-Based Systems (2025), pp. 113041-113041
Closed Access
Brain-inspired multimodal motion and fine-grained action recognition
Yuening Li, Xiuhua Yang, Changkui Chen
Frontiers in Neurorobotics (2025) Vol. 18
Open Access
Hierarchical Task-aware Temporal Modeling and Matching for few-shot action recognition
Yucheng Zhan, Yijun Pan, Siying Wu, et al.
Neurocomputing (2025), pp. 129467-129467
Closed Access
Joint image-instance spatial-temporal attention for few-shot action recognition
Zefeng Qian, Chongyang Zhang, Yifei Huang, et al.
Computer Vision and Image Understanding (2025), pp. 104322-104322
Closed Access
Efficient spatio-temporal modeling and text-enhanced prototype for few-shot action recognition
Qian Zhang, Shiqiang Yan, Mingwen Shao, et al.
Neurocomputing (2025), pp. 130119-130119
Closed Access
Continual Test-Time Adaptation for Single Image Defocus Deblurring via Causal Siamese Networks
Shuang Cui, Yi Li, Jiangmeng Li, et al.
International Journal of Computer Vision (2025)
Closed Access
Multi-level semantic-assisted prototype learning for Few-shot action recognition
Dan Liu, Qing Xia, Fanrong Meng, et al.
Neurocomputing (2025), pp. 130022-130022
Closed Access
A domain generalization method for deploying driver distraction detection models to practical application scenarios
Lie Yang, Henglai Wei, Zhongxu Hu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 152, pp. 110844-110844
Closed Access
Multi-view distillation based on multi-modal fusion for few-shot action recognition (CLIP-MDMF)
Fei Guo, YiKang Wang, Han Qi, et al.
Knowledge-Based Systems (2024), pp. 112539-112539
Closed Access | Times Cited: 2
Exploring sample relationship for few-shot classification
Xingye Chen, Wenxiao Wu, Li Ma, et al.
Pattern Recognition (2024), pp. 111089-111089
Closed Access | Times Cited: 2
Advances in Few-Shot Action Recognition: A Comprehensive Review
Zanxi Ruan, Yingmei Wei, Yifei Yuan, et al.
(2024), pp. 390-398
Closed Access | Times Cited: 1
Text-guided Graph Temporal Modeling for few-shot video classification
Fuqin Deng, Jiaming Zhong, Nannan Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109076-109076
Closed Access | Times Cited: 1
Multi-Modal Low-Data-Based Learning for Video Classification
Erol Citak, M. Elif Karsligıl
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4272-4272
Open Access
SFMM: Semantic-to-Frame Matching with Multi-Classifier for Few-shot Action Recognition
Yikang Wang, Fei Guo, Li Zhu, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 29, pp. 1-8
Closed Access
Annealing temporal-spatial contrastive learning for multi-view online action detection
Yang Tan, Liping Xie, Shicheng Jing, et al.
Knowledge-Based Systems (2024), pp. 112523-112523
Closed Access
Consistency Prototype Module and Motion Compensation for few-shot action recognition (CLIP-CPM2C)
Fei Guo, YiKang Wang, Han Qi, et al.
Neurocomputing (2024) Vol. 611, pp. 128649-128649
Closed Access
Saliency-Guided Fine-Grained Temporal Mask Learning for Few-Shot Action Recognition
Shuo Zheng, Yuanjie Dang, Peng Chen, et al.
(2024), pp. 1024-1033
Closed Access
Efficient Few-Shot Action Recognition via Multi-level Post-reasoning
Cong Wu, Xiao‐Jun Wu, Linze Li, et al.
Lecture notes in computer science (2024), pp. 38-56
Closed Access
Spatio-temporal interactive reasoning model for multi-group activity recognition
Jianglan Huang, Lindong Li, Linbo Qing, et al.
Pattern Recognition (2024) Vol. 159, pp. 111104-111104
Closed Access
SANet: Selective Aggregation Network for unsupervised object re-identification
Minghui Lin, Jianhua Tang, Longbin Fu, et al.
Computer Vision and Image Understanding (2024) Vol. 250, pp. 104232-104232
Closed Access
Unsupervised prototype self-calibration based on hybrid attention contrastive learning for enhanced few-shot action recognition
yiyuan An, Yingmin Yi, Li Wu, et al.
Applied Soft Computing (2024), pp. 112558-112558
Closed Access
Text-Guided Graph Temporal Modeling for Few-Shot Video Classification
Deng Fuqin, Jiaming Zhong, Nannan Li, et al.
(2024)
Closed Access
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