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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:

GLCC: A General Framework for Graph-Level Clustering
Lili Ju, Yiyang Gu, Binqi Chen, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 4, pp. 4391-4399
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu, et al.
Neural Networks (2024) Vol. 173, pp. 106207-106207
Open Access | Times Cited: 133
Learning Graph ODE for Continuous-Time Sequential Recommendation
Yifang Qin, Wei Ju, Hongjun Wu, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 7, pp. 3224-3236
Open Access | Times Cited: 24
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting
Wei Ju, Yusheng Zhao, Yifang Qin, et al.
Information Fusion (2024) Vol. 107, pp. 102341-102341
Open Access | Times Cited: 18
Multi-view contrastive clustering via integrating graph aggregation and confidence enhancement
Jintang Bian, Xiaohua Xie, Jianhuang Lai, et al.
Information Fusion (2024) Vol. 108, pp. 102393-102393
Closed Access | Times Cited: 13
Semi-supervised possibilistic c-means clustering algorithm based on feature weights for imbalanced data
Haiyan Yu, Xiaoyu Xu, Honglei Li, et al.
Knowledge-Based Systems (2024) Vol. 286, pp. 111388-111388
Closed Access | Times Cited: 11
MHGC: Multi-scale hard sample mining for contrastive deep graph clustering
Tao Ren, H. F. Zhang, Yifan Wang, et al.
Information Processing & Management (2025) Vol. 62, Iss. 4, pp. 104084-104084
Closed Access | Times Cited: 1
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering
Siyu Yi, Wei Ju, Yifang Qin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 12, pp. 18313-18327
Open Access | Times Cited: 19
An efficient network clustering approach using graph-boosting and nonnegative matrix factorization
Ji Tang, Xiaoru Xu, Teng Wang, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 5
Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling
Xiao Luo, Wei Ju, Yiyang Gu, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2023) Vol. 20, Iss. 3, pp. 1-19
Open Access | Times Cited: 12
Supervised contrastive learning for graph representation enhancement
Mohadeseh Ghayekhloo, Ahmad Nickabadi
Neurocomputing (2024) Vol. 588, pp. 127710-127710
Closed Access | Times Cited: 4
M2ixKG: Mixing for harder negative samples in knowledge graph
Feihu Che, Jianhua Tao
Neural Networks (2024) Vol. 177, pp. 106358-106358
Closed Access | Times Cited: 4
Learning on Graphs under Label Noise
Jingyang Yuan, Xiao Luo, Yifang Qin, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)
Open Access | Times Cited: 11
Anchor-based incomplete multi-view clustering with graph convolution network
Ao Li, Tianyu Gao, Y.C. Wang, et al.
Applied Intelligence (2025) Vol. 55, Iss. 7
Closed Access
GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation
Junyu Luo, Yiyang Gu, Xiao Luo, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 9038-9051
Open Access | Times Cited: 3
Multi-view clustering with semantic fusion and contrastive learning
Hui Yu, Hui-Xiang Bian, Zi-Ling Chong, et al.
Neurocomputing (2024) Vol. 603, pp. 128264-128264
Closed Access | Times Cited: 3
Adversarial Cluster-Level and Global-Level Graph Contrastive Learning for node representation
Qian Tang, Yiji Zhao, Hao Wu, et al.
Knowledge-Based Systems (2023) Vol. 279, pp. 110935-110935
Closed Access | Times Cited: 6
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts
Siyu Yi, Zhengyang Mao, Wei Ju, et al.
IEEE Transactions on Big Data (2023) Vol. 9, Iss. 6, pp. 1683-1696
Open Access | Times Cited: 6
Contrastive learning based open-set recognition with unknown score
Yuan Zhou, S. Fang, Shuoshi Li, et al.
Knowledge-Based Systems (2024) Vol. 296, pp. 111926-111926
Closed Access | Times Cited: 2
Self-supervised graph clustering via attention auto-encoder with distribution specificity
Zishi Li, Changming Zhu
Multimedia Systems (2024) Vol. 30, Iss. 3
Closed Access | Times Cited: 1
New approach for learning structured graph with Laplacian rank constraint
Yu Duan, Feiping Nie, Rong Wang, et al.
Neurocomputing (2024) Vol. 598, pp. 128065-128065
Closed Access | Times Cited: 1
Partial label learning via weighted centroid clustering disambiguation
Yuhang Tian, Xin Niu, Jing Chai
Neurocomputing (2024) Vol. 604, pp. 128312-128312
Closed Access | Times Cited: 1
CGAD: A Novel Contrastive Learning-Based Framework for Anomaly Detection in Attributed Networks
Yun Wan, Dapeng Zhang, Dong Liu, et al.
Neurocomputing (2024) Vol. 609, pp. 128379-128379
Closed Access | Times Cited: 1
Contrastive graph clustering via enhanced hard sample mining and cluster-guiding
Meng Li, Bo Yang, T. Xue, et al.
Multimedia Systems (2024) Vol. 30, Iss. 6
Closed Access | Times Cited: 1
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
Learning Graph ODE for Continuous-Time Sequential Recommendation
Yifang Qin, Lili Ju, Hongjun Wu, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
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