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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 1-25 of 54 citing articles:

Structured Graph Learning for Scalable Subspace Clustering: From Single View to Multiview
Zhao Kang, Zhiping Lin, Xiaofeng Zhu, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 9, pp. 8976-8986
Open Access | Times Cited: 245
Pseudo-Supervised Deep Subspace Clustering
Juncheng Lv, Zhao Kang, Xiao Lu, et al.
IEEE Transactions on Image Processing (2021) Vol. 30, pp. 5252-5263
Open Access | Times Cited: 116
Structured graph learning for clustering and semi-supervised classification
Zhao Kang, Chong Peng, Qiang Cheng, et al.
Pattern Recognition (2020) Vol. 110, pp. 107627-107627
Open Access | Times Cited: 137
Multi-view subspace clustering via partition fusion
Juncheng Lv, Zhao Kang, Boyu Wang, et al.
Information Sciences (2021) Vol. 560, pp. 410-423
Open Access | Times Cited: 85
Auto-weighted Tensor Schatten p-Norm for Robust Multi-view Graph Clustering
Xingfeng Li, Zhenwen Ren, Quansen Sun, et al.
Pattern Recognition (2022) Vol. 134, pp. 109083-109083
Closed Access | Times Cited: 53
Semi-supervised learning with mixed-order graph convolutional networks
Jie Wang, Jianqing Liang, Junbiao Cui, et al.
Information Sciences (2021) Vol. 573, pp. 171-181
Closed Access | Times Cited: 47
Towards Clustering-friendly Representations
Zhengrui Ma, Zhao Kang, Guangchun Luo, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2020), pp. 3081-3089
Closed Access | Times Cited: 42
An effective knowledge graph entity alignment model based on multiple information
Beibei Zhu, Tie Bao, Ridong Han, et al.
Neural Networks (2023) Vol. 162, pp. 83-98
Closed Access | Times Cited: 14
Cross-Layer Self-Representation Enhanced Deep Subspace Clustering with Self-Supervision
Lifan Peng, Xiaoqian Zhang, Youdong He, et al.
Information Sciences (2024) Vol. 679, pp. 121058-121058
Closed Access | Times Cited: 5
Deep graph learning for semi-supervised classification
Guangfeng Lin, Xiaobing Kang, Kaiyang Liao, et al.
Pattern Recognition (2021) Vol. 118, pp. 108039-108039
Open Access | Times Cited: 31
Learning deep discriminative representations with pseudo supervision for image clustering
Weibo Hu, Chuan Chen, Fanghua Ye, et al.
Information Sciences (2021) Vol. 568, pp. 199-215
Closed Access | Times Cited: 29
Parameter-Free Consensus Embedding Learning for Multiview Graph-Based Clustering
Danyang Wu, Feiping Nie, Xia Dong, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 12, pp. 7944-7950
Closed Access | Times Cited: 29
Multiple Kernel Clustering With Compressed Subspace Alignment
Sihang Zhou, Qiyuan Ou, Xinwang Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 34, Iss. 1, pp. 252-263
Closed Access | Times Cited: 29
Fine-grained Attributed Graph Clustering
Kang Zhao, Zhanyu Liu, Shirui Pan, et al.
Society for Industrial and Applied Mathematics eBooks (2022), pp. 370-378
Open Access | Times Cited: 20
Detecting dynamic community by fusing network embedding and nonnegative matrix factorization
Dongyuan Li, Xiaoxiong Zhong, Zengfa Dou, et al.
Knowledge-Based Systems (2021) Vol. 221, pp. 106961-106961
Closed Access | Times Cited: 20
DNB: A Joint Learning Framework for Deep Bayesian Nonparametric Clustering
Zeya Wang, Yang Ni, Baoyu Jing, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 12, pp. 7610-7620
Closed Access | Times Cited: 19
Clothes image caption generation with attribute detection and visual attention model
Xianrui Li, Zhiling Ye, Zhao Zhang, et al.
Pattern Recognition Letters (2020) Vol. 141, pp. 68-74
Closed Access | Times Cited: 20
Creating an AI fashioner through deep learning and computer vision
Caner Balım, Kemal Özkan
Evolving Systems (2023) Vol. 15, Iss. 3, pp. 717-729
Closed Access | Times Cited: 6
Elastic Deep Sparse Self-Representation Subspace Clustering Network
Qiao‐Ping Wang, Xiaoyun Chen, Yan Li, et al.
Neural Processing Letters (2024) Vol. 56, Iss. 2
Open Access | Times Cited: 2
Large-Scale Subspace Clustering by Independent Distributed and Parallel Coding
Jun Li, Zhiqiang Tao, Yue Wu, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 9, pp. 9090-9100
Closed Access | Times Cited: 14
Unsupervised Sentiment Analysis by Transferring Multi-source Knowledge
Yong Dai, Jian Liu, Jian Zhang, et al.
Cognitive Computation (2021) Vol. 13, Iss. 5, pp. 1185-1197
Open Access | Times Cited: 14
Smoothed Multi-view Subspace Clustering
Peng Chen, Liang Liu, Zhengrui Ma, et al.
Communications in computer and information science (2021), pp. 128-140
Closed Access | Times Cited: 14
Laplacian regularized deep low-rank subspace clustering network
Yongyong Chen, Lei Cheng, Zhongyun Hua, et al.
Applied Intelligence (2023) Vol. 53, Iss. 19, pp. 22282-22296
Closed Access | Times Cited: 5
Ensemble dimension reduction based on spectral disturbance for subspace clustering
Xiaoyun Chen, Qiao‐Ping Wang, Shanshan Zhuang
Knowledge-Based Systems (2021) Vol. 227, pp. 107182-107182
Closed Access | Times Cited: 12
Deep flight track clustering based on spatial–temporal distance and denoising auto-encoding
Guoqian Liu, Yuqi Fan, Jianjun Zhang, et al.
Expert Systems with Applications (2022) Vol. 198, pp. 116733-116733
Closed Access | Times Cited: 8
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