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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:

Relation-Guided Representation Learning
Zhao Kang, Xiao Lu, Jian Liang, et al.
Neural Networks (2020) Vol. 131, pp. 93-102
Open Access | Times Cited: 54

Showing 26-50 of 54 citing articles:

Learning Structure Aware Deep Spectral Embedding
Hira Yaseen, Arif Mahmood
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 3939-3948
Open Access | Times Cited: 4
Enhanced Adjacency-Constrained Hierarchical Clustering Using Fine-Grained Pseudo Labels
Jie Yang, Chin‐Teng Lin
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 3, pp. 2481-2492
Closed Access | Times Cited: 1
Joint Consensus Kernel Learning and Adaptive Hypergraph Regularization for Graph-based Clustering
Niu Ju, Yuhui Du
Information Sciences (2024), pp. 121468-121468
Closed Access | Times Cited: 1
Domain adaptation with feature and label adversarial networks
Peng Zhao, Wenhua Zang, 斌 刘, et al.
Neurocomputing (2021) Vol. 439, pp. 294-301
Closed Access | Times Cited: 9
Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering
Zhengrui Ma, Zhao Kang, Guangchun Luo, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 8
Self-Paced Two-dimensional PCA
Jiangxin Li, Zhao Kang, Chong Peng, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 9, pp. 8392-8400
Open Access | Times Cited: 7
Graph Learning for Attributed Graph Clustering
Xiaoran Zhang, Xuanting Xie, Zhao Kang
Mathematics (2022) Vol. 10, Iss. 24, pp. 4834-4834
Open Access | Times Cited: 4
Self-supervised Consensus Representation Learning for Attributed Graph
Changshu Liu, Liangjian Wen, Zhao Kang, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2021)
Open Access | Times Cited: 5
Deep feature learning and latent space encoding for crop phenology analysis
Arun Pattathal, Arnon Karnieli
Expert Systems with Applications (2021) Vol. 187, pp. 115929-115929
Closed Access | Times Cited: 4
Convolutional dynamic auto-encoder: a clustering method for semantic images
Zahra Mohamed, Riadh Ksantini, Jihene Kaabi
Neural Computing and Applications (2022) Vol. 34, Iss. 19, pp. 17087-17105
Closed Access | Times Cited: 3
Representation Learning across Feature and Topology Views with Output Correction for Graph Convolutional Networks
Shuhao Shi, Zhengyan Wang, Jian Chen, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 5085-5089
Closed Access
Autonomous clustering by fast find of mass and distance peaks
Jie Yang, Chin‐Teng Lin
(2024)
Open Access
iterPrompt: An iterative prompt-tuning method for nested relation extraction with dynamic assignment strategy
Chengcheng Mai, Yuxiang Wang, Ziyu Gong, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124335-124335
Closed Access
Learning feature relationships in CNN model via relational embedding convolution layer
Shengzhou Xiong, Yihua Tan, Guoyou Wang, et al.
Neural Networks (2024) Vol. 179, pp. 106510-106510
Closed Access
Multi-dimensional weighted deep subspace clustering with feature classification
Siyu Chen, Xiaoqian Zhang, Youdong He, et al.
Expert Systems with Applications (2024) Vol. 260, pp. 125375-125375
Closed Access
UMGCN: Updating multi-graph for graph convolutional networks
Guorong Zhu, Keyu Liu, Xibei Yang, et al.
Computers & Electrical Engineering (2024) Vol. 123, pp. 109957-109957
Closed Access
Signed Network Representation by Preserving Multi-order Signed Proximity
Pinghua Xu, Wenbin Hu, Jia Wu, et al.
IEEE Transactions on Knowledge and Data Engineering (2021), pp. 1-1
Open Access | Times Cited: 3
Self-Supervised Convolutional Subspace Clustering Network with the Block Diagonal Regularizer
Maoshan Liu, Yan Wang, Zhicheng Ji
Neural Processing Letters (2021) Vol. 53, Iss. 6, pp. 3849-3875
Open Access | Times Cited: 2
Hypergraph-Supervised Deep Subspace Clustering
Yu Hu, Hongmin Cai
Mathematics (2021) Vol. 9, Iss. 24, pp. 3259-3259
Open Access | Times Cited: 2
Learning of physically significant features from earth observation data: an illustration for crop classification and irrigation scheme detection
P. V. Arun, Arnon Karnieli
Neural Computing and Applications (2022) Vol. 34, Iss. 13, pp. 10929-10948
Closed Access | Times Cited: 1
Autonomous clustering by fast find of mass and distance peaks
Jie Yang, Chin‐Teng Lin
(2022)
Open Access | Times Cited: 1
Unsupervised Sentiment Analysis by Transferring Multi-source Knowledge
Yong Dai, Jian Liu, Jian Zhang, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1
RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved
Jianxin Li, Cheng Ji, Hao Peng, et al.
Journal of Artificial Intelligence Research (2021) Vol. 71, pp. 237-263
Open Access | Times Cited: 1
Elastic Deep Sparse Self-representation Subspace Clustering Network
Qiao‐Ping Wang, Xiaoyun Chen, Yan Li, et al.
Research Square (Research Square) (2023)
Open Access
RWNE: A Scalable Random-Walk-Based Network Embedding Framework with Personalized Higher-Order Proximity Preserved
Yu He, Jianxin Li, Yangqiu Song, et al.
arXiv (Cornell University) (2019)
Open Access

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