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:
Multigraph Fusion for Dynamic Graph Convolutional Network
Jiangzhang Gan, Rongyao Hu, Yujie Mo, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 1, pp. 196-207
Closed Access | Times Cited: 58
Jiangzhang Gan, Rongyao Hu, Yujie Mo, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 1, pp. 196-207
Closed Access | Times Cited: 58
Showing 1-25 of 58 citing articles:
Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering
Jie Xu, Chao Li, Liang Peng, et al.
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 1354-1366
Closed Access | Times Cited: 80
Jie Xu, Chao Li, Liang Peng, et al.
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 1354-1366
Closed Access | Times Cited: 80
Multiplex Graph Representation Learning Via Dual Correlation Reduction
Yujie Mo, Yuhuan Chen, Yajie Lei, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 12, pp. 12814-12827
Closed Access | Times Cited: 43
Yujie Mo, Yuhuan Chen, Yajie Lei, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 12, pp. 12814-12827
Closed Access | Times Cited: 43
Self-Supervised Temporal Graph Learning With Temporal and Structural Intensity Alignment
Meng Liu, Ke Liang, Yawei Zhao, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024), pp. 1-13
Open Access | Times Cited: 39
Meng Liu, Ke Liang, Yawei Zhao, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024), pp. 1-13
Open Access | Times Cited: 39
GRLC: Graph Representation Learning With Constraints
Liang Peng, Yujie Mo, Jie Xu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 6, pp. 8609-8622
Closed Access | Times Cited: 37
Liang Peng, Yujie Mo, Jie Xu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 6, pp. 8609-8622
Closed Access | Times Cited: 37
Multi-view representation model based on graph autoencoder
Jingci Li, Guangquan Lu, Zhengtian Wu, et al.
Information Sciences (2023) Vol. 632, pp. 439-453
Closed Access | Times Cited: 25
Jingci Li, Guangquan Lu, Zhengtian Wu, et al.
Information Sciences (2023) Vol. 632, pp. 439-453
Closed Access | Times Cited: 25
Dynamic graph convolutional networks by semi-supervised contrastive learning
Guolin Zhang, Zehui Hu, Guoqiu Wen, et al.
Pattern Recognition (2023) Vol. 139, pp. 109486-109486
Closed Access | Times Cited: 23
Guolin Zhang, Zehui Hu, Guoqiu Wen, et al.
Pattern Recognition (2023) Vol. 139, pp. 109486-109486
Closed Access | Times Cited: 23
UNTIE: Clustering analysis with disentanglement in multi-view information fusion
Jie Xu, Yazhou Ren, Xiaoshuang Shi, et al.
Information Fusion (2023) Vol. 100, pp. 101937-101937
Closed Access | Times Cited: 18
Jie Xu, Yazhou Ren, Xiaoshuang Shi, et al.
Information Fusion (2023) Vol. 100, pp. 101937-101937
Closed Access | Times Cited: 18
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing
Zhaoliang Chen, Zhihao Wu, Zhenghong Lin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 13764-13776
Open Access | Times Cited: 16
Zhaoliang Chen, Zhihao Wu, Zhenghong Lin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 13764-13776
Open Access | Times Cited: 16
Attention based multi-task interpretable graph convolutional network for Alzheimer’s disease analysis
Shunqin Jiang, Qiyuan Feng, Hengxin Li, et al.
Pattern Recognition Letters (2024) Vol. 180, pp. 1-8
Closed Access | Times Cited: 7
Shunqin Jiang, Qiyuan Feng, Hengxin Li, et al.
Pattern Recognition Letters (2024) Vol. 180, pp. 1-8
Closed Access | Times Cited: 7
Graph convolutional network with sample and feature weights for Alzheimer’s disease diagnosis
Lu Zeng, Hengxin Li, Tingsong Xiao, et al.
Information Processing & Management (2022) Vol. 59, Iss. 4, pp. 102952-102952
Closed Access | Times Cited: 22
Lu Zeng, Hengxin Li, Tingsong Xiao, et al.
Information Processing & Management (2022) Vol. 59, Iss. 4, pp. 102952-102952
Closed Access | Times Cited: 22
Motif Graph Neural Network
Chen XueXin, Ruichu Cai, Yuan Fang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 14833-14847
Open Access | Times Cited: 14
Chen XueXin, Ruichu Cai, Yuan Fang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 14833-14847
Open Access | Times Cited: 14
Multi-view ordinal regression with feature augmentation and privileged information learning
Yanshan Xiao, Liuhong Chen, Bo Liu
Information Sciences (2025) Vol. 708, pp. 122065-122065
Closed Access
Yanshan Xiao, Liuhong Chen, Bo Liu
Information Sciences (2025) Vol. 708, pp. 122065-122065
Closed Access
Task-radMBNet: An Improved Task-Driven Dynamic Graph Sparsity Pattern Radiomics-Based Morphological Brain Network for Alzheimer’s Disease Characterization
Limei Song, Zhiwei Song, Nan Peng, et al.
Brain Connectivity (2025)
Closed Access
Limei Song, Zhiwei Song, Nan Peng, et al.
Brain Connectivity (2025)
Closed Access
Contrastive structure and texture fusion for image inpainting
Long Chen, Changan Yuan, Xiao Qin, et al.
Neurocomputing (2023) Vol. 536, pp. 1-12
Closed Access | Times Cited: 11
Long Chen, Changan Yuan, Xiao Qin, et al.
Neurocomputing (2023) Vol. 536, pp. 1-12
Closed Access | Times Cited: 11
A noise-resistant graph neural network by semi-supervised contrastive learning
Zhengyu Lu, Junbo Ma, Zongqian Wu, et al.
Information Sciences (2023) Vol. 658, pp. 120001-120001
Closed Access | Times Cited: 11
Zhengyu Lu, Junbo Ma, Zongqian Wu, et al.
Information Sciences (2023) Vol. 658, pp. 120001-120001
Closed Access | Times Cited: 11
Deep Learning for Dynamic Graphs: Models and Benchmarks
Alessio Gravina, Davide Bacciu
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 35, Iss. 9, pp. 11788-11801
Closed Access | Times Cited: 4
Alessio Gravina, Davide Bacciu
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 35, Iss. 9, pp. 11788-11801
Closed Access | Times Cited: 4
Multi-Modal Validation and Domain Interaction Learning for Knowledge-based Visual Question Answering
Ning Xu, Yifei Gao, An-An Liu, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 6628-6640
Closed Access | Times Cited: 4
Ning Xu, Yifei Gao, An-An Liu, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 6628-6640
Closed Access | Times Cited: 4
Unsupervised multi-view graph representation learning with dual weight-net
Yujie Mo, Heng Tao Shen, Xiaofeng Zhu
Information Fusion (2024) Vol. 114, pp. 102669-102669
Closed Access | Times Cited: 4
Yujie Mo, Heng Tao Shen, Xiaofeng Zhu
Information Fusion (2024) Vol. 114, pp. 102669-102669
Closed Access | Times Cited: 4
Unsupervised multiplex graph representation learning via maximizing coding rate reduction
Wang Xin, Liang Peng, Rongyao Hu, et al.
Pattern Recognition (2025), pp. 111557-111557
Closed Access
Wang Xin, Liang Peng, Rongyao Hu, et al.
Pattern Recognition (2025), pp. 111557-111557
Closed Access
FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer’s Disease Analysis
Hengxin Li, Xiaoshuang Shi, Xiaofeng Zhu, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2022) Vol. 7, Iss. 1, pp. 15-25
Closed Access | Times Cited: 18
Hengxin Li, Xiaoshuang Shi, Xiaofeng Zhu, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2022) Vol. 7, Iss. 1, pp. 15-25
Closed Access | Times Cited: 18
Semi-supervised multi-view feature selection with adaptive similarity fusion and learning
Bingbing Jiang, Jun Liu, Zidong Wang, et al.
Pattern Recognition (2024) Vol. 159, pp. 111159-111159
Closed Access | Times Cited: 3
Bingbing Jiang, Jun Liu, Zidong Wang, et al.
Pattern Recognition (2024) Vol. 159, pp. 111159-111159
Closed Access | Times Cited: 3
IGCNN-FC: Boosting interpretability and generalization of convolutional neural networks for few chest X-rays analysis
Mengmeng Zhan, Xiaoshuang Shi, Fangqi Liu, et al.
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103258-103258
Closed Access | Times Cited: 8
Mengmeng Zhan, Xiaoshuang Shi, Fangqi Liu, et al.
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103258-103258
Closed Access | Times Cited: 8
Prior knowledge guided text to image generation
An-An Liu, Zefang Sun, Ning Xu, et al.
Pattern Recognition Letters (2023) Vol. 177, pp. 89-95
Closed Access | Times Cited: 7
An-An Liu, Zefang Sun, Ning Xu, et al.
Pattern Recognition Letters (2023) Vol. 177, pp. 89-95
Closed Access | Times Cited: 7
Multi-kernel graph fusion for spectral clustering
Bo Zhou, Wenliang Liu, Wenzhen Zhang, et al.
Information Processing & Management (2022) Vol. 59, Iss. 5, pp. 103003-103003
Closed Access | Times Cited: 12
Bo Zhou, Wenliang Liu, Wenzhen Zhang, et al.
Information Processing & Management (2022) Vol. 59, Iss. 5, pp. 103003-103003
Closed Access | Times Cited: 12
Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification
Yaoming Cai, Zijia Zhang, Pedram Ghamisi, et al.
ACM Transactions on Intelligent Systems and Technology (2023) Vol. 14, Iss. 3, pp. 1-23
Closed Access | Times Cited: 5
Yaoming Cai, Zijia Zhang, Pedram Ghamisi, et al.
ACM Transactions on Intelligent Systems and Technology (2023) Vol. 14, Iss. 3, pp. 1-23
Closed Access | Times Cited: 5
