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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:

Memorizing Complementation Network for Few-Shot Class-Incremental Learning
Zhong Ji, Zhishen Hou, Xiyao Liu, et al.
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 937-948
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
Zeyin Song, Yifan Zhao, Yujun Shi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 24183-24192
Open Access | Times Cited: 37
Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation
Linglan Zhao, Jing Lü, Yunlu Xu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Closed Access | Times Cited: 25
Analogical Learning-Based Few-Shot Class-Incremental Learning
Jiashuo Li, Songlin Dong, Yihong Gong, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 7, pp. 5493-5504
Closed Access | Times Cited: 5
Gradient Guided Multiscale Feature Collaboration Networks for Few-Shot Class-Incremental Remote Sensing Scene Classification
Wuli Wang, Li Zhang, Sichao Fu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-12
Closed Access | Times Cited: 4
Concept agent network for zero-base generalized few-shot learning
Xuan Wang, Zhong Ji, Xiyao Liu, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
HDCPAA: a few-shot class-incremental learning model for remote sensing image recognition
Peng Li, Cunqian Feng, Xiaowei Hu, et al.
Neurocomputing (2025), pp. 130043-130043
Open Access
DyCR: A Dynamic Clustering and Recovering Network for Few-Shot Class-Incremental Learning
Zicheng Pan, Xiaohan Yu, Miaohua Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024), pp. 1-14
Open Access | Times Cited: 3
Relationship-Guided Knowledge Transfer for Class-Incremental Facial Expression Recognition
Yuanling Lv, Yan Yan, Jing‐Hao Xue, et al.
IEEE Transactions on Image Processing (2024) Vol. 33, pp. 2293-2304
Open Access | Times Cited: 2
Incremental Recognition of Multi-Style Tibetan Character Based on Transfer Learning
Guanzhong Zhao, Weilan Wang, Xiaojuan Wang, et al.
IEEE Access (2024) Vol. 12, pp. 44190-44206
Open Access | Times Cited: 2
A cognition-driven framework for few-shot class-incremental learning
Xuan Wang, Zhong Ji, Yanwei Pang, et al.
Neurocomputing (2024) Vol. 600, pp. 128118-128118
Closed Access | Times Cited: 2
Task context transformer and GCN for few-shot learning of cross-domain
Pengfang Li, Fang Liu, Licheng Jiao, et al.
Neurocomputing (2023) Vol. 548, pp. 126433-126433
Closed Access | Times Cited: 5
Unified feature learning network for few-shot fault diagnosis
Yan Xu, Xinyao Ma, Xuan Wang, et al.
Neurocomputing (2024) Vol. 598, pp. 128035-128035
Closed Access | Times Cited: 1
Model Attention Expansion for Few-Shot Class-Incremental Learning
Xuan Wang, Zhong Ji, Yunlong Yu, et al.
IEEE Transactions on Image Processing (2024) Vol. 33, pp. 4419-4431
Closed Access | Times Cited: 1
Fast adaptive parallel computational ghost imaging based on meta learning
Qi Li, Guancheng Huang, Yutong Li, et al.
Optics and Lasers in Engineering (2024) Vol. 184, pp. 108561-108561
Closed Access | Times Cited: 1
NTK-Guided Few-Shot Class Incremental Learning
Jingren Liu, Zhong Ji, Yanwei Pang, et al.
IEEE Transactions on Image Processing (2024) Vol. 33, pp. 6029-6044
Open Access | Times Cited: 1
On the Approximation Risk of Few-Shot Class-Incremental Learning
Xuan Wang, Zhong Ji, Xiyao Liu, et al.
Lecture notes in computer science (2024), pp. 162-178
Closed Access | Times Cited: 1
P3DC-shot: Prior-driven discrete data calibration for nearest-neighbor few-shot classification
Shuangmei Wang, Rui Ma, Tieru Wu, et al.
Image and Vision Computing (2023) Vol. 136, pp. 104736-104736
Open Access | Times Cited: 4
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning
Wenhao Qiu, Sichao Fu, Jingyi Zhang, et al.
2022 IEEE International Conference on Multimedia and Expo (ICME) (2023), pp. 2885-2890
Open Access | Times Cited: 3
Learning to complement: Relation complementation network for few-shot class-incremental learning
Ye Wang, Yaxiong Wang, Guoshuai Zhao, et al.
Knowledge-Based Systems (2023) Vol. 282, pp. 111130-111130
Closed Access | Times Cited: 2
A Cognition-Driven Framework for Few-Shot Class-Incremental Learning
Xuan Wang, Zhong Ji, Yanwei Pang, et al.
(2024)
Closed Access
Semi-supervised few-shot class-incremental learning based on dynamic topology evolution
Wenqi Han, Kai Huang, Jie Geng, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108528-108528
Closed Access
TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning
Shuangmei Wang, Yang Cao, Tieru Wu
Neural Processing Letters (2024) Vol. 56, Iss. 3
Open Access
Causal Inference-based Few-Shot Class-Incremental Learning
Weiwei Zhou, Guoqiang Xiao, Michael S. Lew, et al.
(2024), pp. 478-487
Open Access
BRAVE: A cascaded generative model with sample attention for robust few shot image classification
Huayi Ji, Linkai Luo, Hong Peng
Neurocomputing (2024), pp. 128585-128585
Closed Access
DB-FSCIL: Few-Shot Class-Incremental Learning Using Dual Bridges
Kexin Bao, Fanzhao Lin, R. Liu, et al.
Lecture notes in computer science (2024), pp. 69-75
Closed Access
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