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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:

Adaptive Poincaré Point to Set Distance for Few-Shot Classification
Rongkai Ma, Pengfei Fang, Tom Drummond, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 2, pp. 1926-1934
Open Access | Times Cited: 23

Showing 23 citing articles:

DDC: Dynamic distribution calibration for few-shot learning under multi-scale representation
Lingxing Chen, Yang Gu, Yi Guo, et al.
Knowledge-Based Systems (2025), pp. 113030-113030
Closed Access | Times Cited: 1
Hyperbolic Deep Learning in Computer Vision: A Survey
Pascal Mettes, Mina Ghadimi Atigh, Martin Keller‐Ressel, et al.
International Journal of Computer Vision (2024) Vol. 132, Iss. 9, pp. 3484-3508
Open Access | Times Cited: 6
Few-shot classification guided by generalization error bound
Fan Liu, Sai Yang, Delong Chen, et al.
Pattern Recognition (2023) Vol. 145, pp. 109904-109904
Closed Access | Times Cited: 12
A Comprehensive Review for Generalized Few-Shot Imageclassification
Sai Yang, Bin Hu, Fan Liu, et al.
(2025)
Closed Access
Adaptive blank compensation for few-shot image classification
Jianfeng Xu, Bin Wang, Huan Wan, et al.
Neurocomputing (2025), pp. 130127-130127
Closed Access
Learning semantic consistency for audio-visual zero-shot learning
Xiaoyong Li, Jing Yang, Yuling Chen, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 7
Open Access
Query-Specific Embedding Co-Adaptation Improve Few-Shot Image Classification
Wen Fu, Li Zhou, Jie Chen
IEEE Signal Processing Letters (2023) Vol. 30, pp. 783-787
Closed Access | Times Cited: 7
Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning
Rongkai Ma, Pengfei Fang, Gil Avraham, et al.
Lecture notes in computer science (2022), pp. 257-274
Closed Access | Times Cited: 11
Boosting Few-shot visual recognition via saliency-guided complementary attention
Linglan Zhao, Ge Liu, Dashan Guo, et al.
Neurocomputing (2022) Vol. 507, pp. 412-427
Closed Access | Times Cited: 9
OCW: Enhancing Few-Shot Learning with Optimized Class-Weighting Methods
Jieui Kang, Subean Lee, Eunseo Kim, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 1
Domain disentanglement and fusion based on hyperbolic neural networks for zero-shot sketch-based image retrieval
Qing Zhang, Jing Zhang, Xiangdong Su, et al.
Information Processing & Management (2024) Vol. 62, Iss. 1, pp. 103963-103963
Closed Access | Times Cited: 1
Dual selective knowledge transfer for few-shot classification
Kai He, Nan Pu, Mingrui Lao, et al.
Applied Intelligence (2023) Vol. 53, Iss. 22, pp. 27779-27789
Open Access | Times Cited: 3
Towards kernelizing the classifier for hyperbolic data
Meimei Yang, Qiao Liu, Xinkai Sun, et al.
Frontiers of Computer Science (2023) Vol. 18, Iss. 1
Closed Access | Times Cited: 3
JLCSR: Joint Learning of Compactness and Separability Representations for Few-Shot Classification
Sai Yang, Fan Liu, Shaoqiu Zheng, et al.
IEEE Transactions on Cognitive and Developmental Systems (2023) Vol. 16, Iss. 2, pp. 757-771
Closed Access | Times Cited: 2
Global and local representation collaborative learning for few-shot learning
Jun Zhou, Qingling Cai
Journal of Intelligent Manufacturing (2022) Vol. 35, Iss. 2, pp. 647-664
Closed Access | Times Cited: 4
Adaptive prototype few-shot image classification method based on feature pyramid
Linshan Shen, Xiang Feng, Xu Li, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2322-e2322
Open Access
PRSN: Prototype resynthesis network with cross-image semantic alignment for few-shot image classification
Mengping Dong, Fei Li, Zhenbo Li, et al.
Pattern Recognition (2024) Vol. 159, pp. 111122-111122
Closed Access
Stereographic Projection for Embedding Hierarchical Structures in Hyperbolic Space
Shangyu Chen, X. Yang, Pengfei Fang, et al.
Lecture notes in computer science (2024), pp. 307-321
Closed Access
Few-Shot Image Classification\\Set-Based Metric\\Self-Adapting Weighting
Yadang Chen, Zhi Xu, Jin Wang, et al.
(2024)
Closed Access
Decoupled Self-Adaptive Distribution Regularization for Few-Shot Image Classification
Bingzhi Chen, Haoming Zhou, Yishu Liu, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 5420-5424
Closed Access
Deep learning approach to identifying cancer subtypes using convolutional hyperbolic k nearest neighbours method
Alenka Trpin, Biljana Mileva Boshkoska
Journal of Decision System (2024), pp. 1-12
Closed Access
Semantic-Aware Feature Aggregation for Few-Shot Image Classification
Fusheng Hao, Fuxiang Wu, Fengxiang He, et al.
Neural Processing Letters (2023) Vol. 55, Iss. 5, pp. 6595-6609
Closed Access | Times Cited: 1
A Novel Preference Scale Function Based on Poincaré Metric for Decision-Making
Youpeng Yang, Sanghyuk Lee, Haolan Zhang, et al.
(2023), pp. 37-42
Closed Access
Prototype-Based Self-Adaptive Distribution Calibration for Few-Shot Image Classification
Wei Du, Xiaoping Hu, Xin Wei, et al.
Electronics (2022) Vol. 12, Iss. 1, pp. 134-134
Open Access
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