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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:

Graph Few-shot Class-incremental Learning
Zhen Tan, Kaize Ding, Ruocheng Guo, et al.
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (2022), pp. 987-996
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

A survey on few-shot class-incremental learning
Songsong Tian, Lusi Li, Weijun Li, et al.
Neural Networks (2023) Vol. 169, pp. 307-324
Open Access | Times Cited: 53
Graph Lifelong Learning: A Survey
Falih Gozi Febrinanto, Feng Xia, Kristen Moore, et al.
IEEE Computational Intelligence Magazine (2023) Vol. 18, Iss. 1, pp. 32-51
Open Access | Times Cited: 35
Continual Learning for Generative Retrieval over Dynamic Corpora
Jiangui Chen, Ruqing Zhang, Jiafeng Guo, et al.
(2023), pp. 306-315
Open Access | Times Cited: 14
Label Enhancement-Based Multiscale Transformer for Palm-Vein Recognition
Huafeng Qin, Changqing Gong, Yantao Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-17
Closed Access | Times Cited: 13
Inductive Graph Few-shot Class Incremental Learning
Yayong Li, Peyman Moghadam, Can Peng, et al.
(2025), pp. 466-474
Closed Access
FILP-3D: Enhancing 3D few-shot class-incremental learning with pre-trained vision-language models
Wan Xu, Tianyu Huang, Tianyuan Qu, et al.
Pattern Recognition (2025), pp. 111558-111558
Closed Access
S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning
Jayateja Kalla, Soma Biswas
Lecture notes in computer science (2022), pp. 432-448
Closed Access | Times Cited: 21
Few-shot Node Classification with Extremely Weak Supervision
Song Wang, Yushun Dong, Kaize Ding, et al.
(2023)
Open Access | Times Cited: 12
Information bottleneck-driven prompt on graphs for unifying downstream few-shot classification tasks
Xin Zhang, Wanyu Chen, Fei Cai, et al.
Information Processing & Management (2025) Vol. 62, Iss. 4, pp. 104092-104092
Closed Access
MLDGG: Meta-Learning for Domain Generalization on Graphs
Qin Tian, Chen Zhao, Minglai Shao, et al.
(2025), pp. 1361-1372
Closed Access
Contrastive Meta-Learning for Few-shot Node Classification
Song Wang, Zhen Tan, Huan Liu, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 2386-2397
Open Access | Times Cited: 9
Few-Shot Class-Incremental SAR Target Recognition via Cosine Prototype Learning
Yan Zhao, Lingjun Zhao, Ding Ding, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-18
Closed Access | Times Cited: 8
Azimuth-aware Subspace Classifier for Few-Shot Class-Incremental SAR ATR
Yan Zhao, Lingjun Zhao, Siqian Zhang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-20
Closed Access | Times Cited: 2
AG-Meta: Adaptive graph meta-learning via representation consistency over local subgraphs
Yi Wang, Changqin Huang, Ming Li, et al.
Pattern Recognition (2024) Vol. 151, pp. 110387-110387
Closed Access | Times Cited: 2
Supervised Graph Contrastive Learning for Few-Shot Node Classification
Zhen Tan, Kaize Ding, Ruocheng Guo, et al.
Lecture notes in computer science (2023), pp. 394-411
Closed Access | Times Cited: 4
Intrusion Detection in IoT Network Using Few-Shot Class Incremental Learning
Mostafa Hosseini, Wei Shi
Lecture notes in networks and systems (2024), pp. 617-636
Closed Access | Times Cited: 1
Continual Learning for Smart City: A Survey
Li Yi Yang, Zhipeng Luo, Shiming Zhang, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 12, pp. 7805-7824
Open Access | Times Cited: 1
Canonical Shape Projection Is All You Need for 3D Few-Shot Class Incremental Learning
Ali Cheraghian, Zeeshan Hayder, Sameera Ramasinghe, et al.
Lecture notes in computer science (2024), pp. 36-53
Closed Access | Times Cited: 1
Few-Shot Class-Incremental Learning for 3D Point Cloud Objects
Townim Faisal Chowdhury, Ali Cheraghian, Sameera Ramasinghe, et al.
Lecture notes in computer science (2022), pp. 204-220
Closed Access | Times Cited: 7
Few-Shot Semantic Relation Prediction Across Heterogeneous Graphs
Pengfei Ding, Yan Wang, Guanfeng Liu, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 10, pp. 10265-10280
Open Access | Times Cited: 3
NC 2 D: Novel Class Discovery for Node Classification
Yue Hou, X. R. Chen, He Zhu, et al.
(2024), pp. 849-859
Closed Access
Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models
Bohan Jiang, Chengshuai Zhao, Zhen Tan, et al.
(2024), pp. 197-206
Closed Access
Topology-aware Embedding Memory for Continual Learning on Expanding Networks
Xikun Zhang, Dongjin Song, Yixin Chen, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 4326-4337
Open Access
Data‐efficient graph learning: Problems, progress, and prospects
Kaize Ding, Yixin Liu, Chuxu Zhang, et al.
AI Magazine (2024)
Open Access
Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-Free Adaptor
Sahar Ahmadi, Ali Cheraghian, Morteza Saberi, et al.
Lecture notes in computer science (2024), pp. 178-195
Closed Access
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